Skip to Main Content
Purpose

Bridges are crucial to national infrastructure, ensuring safety, connectivity and economic growth. However, challenges like ageing structures, funding limits and climate risks persist. While asset management research is extensive, a gap remains in comparing UK-specific issues with global trends. This study aims to review literature to identify key risks and knowledge gaps, particularly in maintaining ageing bridges under increasing load demands.

Design/methodology/approach

A systematic literature review was conducted using leading academic databases and professional publications. The extracted data were synthesised into a structured table, highlighting the frequency and distribution of key bridge management challenges in the UK compared to global contexts.

Findings

Key factors in bridge management include ageing infrastructure, limited funding, skills shortages and climate change. In the UK, challenges like scour and flooding are prominent, while global issues often involve earthquakes and hurricanes. Knowledge gaps in managing ageing bridges and increased load demands highlight the need for adaptive strategies.

Research limitations/implications

The findings inform policymakers, asset owners and engineers by identifying key risk factors and knowledge gaps. This supports the development of adaptive management strategies that improve planning, coordination and decision-making in bridge maintenance and safety.

Practical implications

The findings impact policymakers, asset owners, and engineers by improving bridge management, enhancing infrastructure resilience, public safety, economic stability, and community connectivity through effective risk mitigation and sustainable development.

Social implications

Effective bridge management ensures the safety and functionality of critical transportation infrastructure, directly impacting societal mobility and economic productivity. Addressing ageing infrastructure and climate change risks contributes to community resilience and reduces disruptions caused by infrastructure failures. This study highlights the role of innovation and collaboration in mitigating long-term risks, fostering public trust in infrastructure reliability. Prioritising sustainability, the research aligns with broader societal goals, including reduced environmental impacts and equitable access to safe transportation networks. These implications underline the importance of bridge management in supporting social well-being and economic stability.

Originality/value

To the best of the authors’ knowledge, this study is one of the first to compare UK bridge management challenges with global ones, offering insights into how local and international factors interact and laying the groundwork for future research and innovative solutions.

The structural performance and integrity of road bridges are essential for the safety, functionality and resilience of national and international transportation systems (Torti et al., 2022). As critical components of infrastructure networks, bridges facilitate economic activity, ensure mobility and contribute to societal development. However, recent assessments have raised significant concerns about the condition of many existing bridges, particularly in the UK. For instance, a report by Topham (2022), published in The Guardian, revealed that over 3,200 road bridges in the UK are structurally deficient, with more than 100 assessed as incapable of safely supporting standard freight transport loads. This presents a pressing challenge for national infrastructure management. The gravity of the issue is underscored by records indicating 17 complete and 37 partial bridge collapses within a single year, suggesting a growing threat to transportation safety. Compounding this is the economic dimension: the estimated cost to address these structural issues exceeds £1.2bn. However, the current budgetary provisions are significantly inadequate, likely enabling only partial remediation over the next five years (Sasidharan et al., 2022). This funding gap highlights the need for alternative strategies and more effective allocation of limited resources (Liu et al., 2022).

Failures in bridge infrastructure carry profound economic and societal consequences, ranging from disruptions in transport to reduced productivity and increased public expenditure. Comparative analyses between preventive maintenance and emergency repair strategies consistently demonstrate the superior efficiency and cost-effectiveness of planned maintenance approaches (Mondoro and Frangopol, 2018). Proactive asset management through regular inspections, minor rehabilitations and structural enhancements has been shown to significantly extend the operational lifespan of bridges while minimising lifecycle costs (Qi et al., 2020; Liu et al., 2022; Poli et al., 2024). For example, the U.S. Federal Highway Administration estimates that each dollar invested in preventive bridge maintenance can yield savings of $4–$10 by avoiding severe degradation and the need for major repairs (Fonseca-Sarmiento et al., 2022). In addition, strategic maintenance helps reduce economic disruptions associated with road closures and traffic congestion (Mohammadi et al., 2022).

Conversely, unplanned maintenance and emergency repairs tend to incur higher costs due to urgent procurement needs, short-notice contractor mobilisation and more intensive repair scopes (Hadlos et al., 2024). The ongoing closure of Hammersmith Bridge in London since 2019 and the detour required around Park Bridge in Aberdeenshire illustrate the substantial economic and social implications of delayed infrastructure rehabilitation (Vickers, 2025). These interruptions increase travel times, escalate fuel consumption and disrupt local commerce and community access, ultimately affecting regional economic output (Torti et al., 2022). On the international stage, notable incidents such as the collapses of the Fern Hollow Bridge (2022) in the USA and the I-35W Bridge (2007) highlight the magnitude of both direct reconstruction expenses and broader economic fallout (Schooling et al., 2023). The emergency replacement of the I-35W Bridge alone exceeded $234m, excluding associated economic losses (Minnesota Legislative Reference Library, 2022). Preventive strategies, therefore, not only enhance public safety but also contribute to long-term financial sustainability (Elseknidy et al., 2025).

Bridges face threats from both environmental and human-induced factors. Natural hazards including floods, seismic activity and landslides combine with anthropogenic risks such as design flaws, overloading and deferred maintenance to compromise bridge integrity (Roy and Matsagar, 2023; Galvão et al., 2021). High-profile failures such as the Morandi Bridge collapse in Italy (2018) and the Randklev railway bridge collapse in Norway (2023) underscore the importance of timely interventions. Investigations into these incidents revealed long-standing structural vulnerabilities that had not been adequately addressed (Cusumano et al., 2022; Johnson, 2023a). The Randklev collapse, for example, was triggered by extreme flooding that undermined the foundation of a key support pillar (Johnson, 2023a, 2023b). These catastrophic events highlight the compounded risks of ageing infrastructure and climate variability, emphasising the need for rigorous inspection regimes and forward-looking infrastructure planning (Vickers, 2025).

Climate change is significantly escalating the risks to bridge infrastructure by increasing the frequency and severity of extreme weather events. Flooding, scour and prolonged heatwaves are particularly critical, as highlighted in the UK Government’s Climate Change Risk Assessment (UK Government, 2022). Historical data show a concerning rise in flood-related railway bridge collapses, underscoring the vulnerability of ageing infrastructure to evolving climatic stressors (Kosič et al., 2023). Moreover, global climate models project even more intense and frequent events in the coming decades, which will further heighten the risks facing critical infrastructure (Nasr et al., 2021). These projections necessitate the urgent integration of climate-resilient strategies into bridge management to ensure long-term safety, reliability and adaptability. In developing countries, the challenges are compounded by limited financial resources that hinder regular maintenance and timely upgrades, thereby accelerating structural deterioration and increasing the likelihood of failures (Kopiika et al., 2025a). Resource constraints also limit access to advanced monitoring technologies and the development of a skilled workforce, further undermining infrastructure sustainability (Muhaimin et al., 2021). In addition, harsh climate conditions, such as intense monsoons, high humidity or temperature fluctuations, exacerbate material degradation, while weak regulatory frameworks and insufficient disaster preparedness create further vulnerabilities (Wang et al., 2024).

In high-income nations, while financial and technical capacities are generally more robust, the challenges remain substantial. Much of the bridge infrastructure in Europe and North America was constructed several decades ago and now requires extensive rehabilitation or replacement (Xu et al., 2021). Concurrently, climate change is intensifying the rate of material fatigue and damage, necessitating investment in more resilient and adaptive structural designs (Feng et al., 2024). Administrative hurdles, including regulatory complexity and bureaucratic delays, can also impede timely intervention, even when funding is available. The intersection of technical, financial, environmental and institutional challenges underscores the urgent need for holistic solutions that integrate resilience, efficiency and sustainability (Mahammedi et al., 2022; Qazi and Al-Mhdawi, 2023).

The problem is not limited to the UK. Global infrastructure reports indicate that more than 3,000 bridges in the UK are officially classified as substandard, while over 35,000 small bridges in the USA require urgent remediation (Sky News, 2022). The challenges vary between countries, historical bridges in the UK demand careful retrofitting that respects heritage value, whereas rapidly industrialising countries face pressures from fast-paced construction, technological adoption and regulatory development (Wilkie and Dyer, 2022). A global response, grounded in shared knowledge and innovation in materials, engineering methods and management practices, is essential for improving bridge resilience (Muhaimin et al., 2021). Recent research on sustainable construction materials such as geopolymer concrete (GPC) illustrates this potential. GPC, which offers reduced carbon emissions and enhanced durability compared to conventional Portland cement, has emerged as a promising alternative for bridge applications. Rubberised geopolymer concrete (Ru-GPC) in particular shows promise for components exposed to harsh environments, offering improved mechanical performance and lifecycle cost savings (Ahmed et al., 2022; Qaidi et al., 2022).

Despite the extensive literature on bridge risk factors and maintenance strategies, limited research offers a comprehensive and comparative view of management challenges in both the UK and other global contexts. Much of the existing work is geographically constrained or technically focused, lacking an integrative approach that accounts for sustainability, policy and resilience. This paper addresses that research gap by providing a comparative analysis of bridge management strategies within the UK and internationally, while exploring the role of innovative materials such as GPC in enabling more sustainable and resilient infrastructure solutions.

This study provides a novel and integrated perspective on bridge infrastructure management by comparing the challenges and practices in the UK with those in other global regions. Unlike previous studies that focus predominantly on specific technical issues or single-country case studies (Frangopol and Liu, 2019; Muhaimin et al., 2021), this research takes a holistic view that encompasses structural, environmental, policy and financial dimensions. It also introduces the emerging role of sustainable materials GPC as a viable solution for enhancing durability and reducing lifecycle costs (Ahmed et al., 2022; Qaidi et al., 2022). The incorporation of GPC into strategic planning for bridge maintenance and design offers new insights into sustainable infrastructure management. This integrated and forward-looking approach distinguishes the paper and contributes actionable knowledge for improving bridge resilience under constrained resources and evolving climate conditions (Liu et al., 2022).

This research aims to develop a comprehensive understanding of bridge management challenges, comparing UK-specific issues with those encountered globally and identifying strategies to enhance sustainability and resilience in bridge infrastructure. The following objectives guide this study:

  • to systematically review and analyse existing literature on bridge management challenges at both global and UK-specific levels;

  • to identify and categorise natural and human-induced factors affecting bridge asset management;

  • to compare the UK’s challenges with those in other countries, identifying context-specific drivers;

  • to provide recommendations for improving resilience, resource allocation and policy direction; and

  • to identify underexplored research areas, particularly relating to sustainable materials and funding mechanisms.

This research adopted a systematic literature review for data collection and analysis, as it provides a comprehensive and structured approach to identifying, evaluating and synthesising relevant studies on the topic. This method is widely used for identifying key risks and challenges in engineering and construction management research (see, e.g. Al-Mhdawi et al., 2022; Al-Mhdawi et al., 2024; Mahammedi et al., 2024; Al-Mhdawi et al., 2025; Mohamed et al., 2025, among others). The investigative procedures used in this study (see Figure 1), inspired by the methodology outlined by Mahammedi et al. (2020), follow a systematic and structured approach to analysing bridge management challenges, with a particular focus on the UK while incorporating global insights. The methodology consists of five key stages:

Figure 1.
A six-step research process is displayed in a flowchart starting with defining research strategy and ending with findings and recommendations.The flowchart illustrates a structured six-step research process. Step 1 is to define research strategy and selection criteria, including questions, inclusion and exclusion criteria, and databases. Step 2 involves searching academic databases such as Scopus, Web of Science, and ScienceDirect. Step 3 focuses on article identification and screening, including reviewing titles, abstracts, and full texts, and removing duplicates. Step 4 is content analysis, where article characteristics are extracted and challenges and strategies evaluated. Step 5 involves synthesis and interpretation, comparing findings, identifying themes, and highlighting research gaps. Step 6 concludes with findings and recommendations, proposing policy actions, best practices, and future research directions.

Flow chart diagram of the research process

Source: Authors’ own work

Figure 1.
A six-step research process is displayed in a flowchart starting with defining research strategy and ending with findings and recommendations.The flowchart illustrates a structured six-step research process. Step 1 is to define research strategy and selection criteria, including questions, inclusion and exclusion criteria, and databases. Step 2 involves searching academic databases such as Scopus, Web of Science, and ScienceDirect. Step 3 focuses on article identification and screening, including reviewing titles, abstracts, and full texts, and removing duplicates. Step 4 is content analysis, where article characteristics are extracted and challenges and strategies evaluated. Step 5 involves synthesis and interpretation, comparing findings, identifying themes, and highlighting research gaps. Step 6 concludes with findings and recommendations, proposing policy actions, best practices, and future research directions.

Flow chart diagram of the research process

Source: Authors’ own work

Close modal
  1. defining the research strategy and establishing selection criteria to ensure a comprehensive and focused review of relevant literature;

  2. identifying and selecting articles pertinent to the systematic review, emphasising their applicability to bridge management challenges in the UK and worldwide;

  3. conducting a detailed analysis and discussion of the selected articles, examining key dimensions such as geographical and temporal distribution, as well as the influence of natural and human-made factors on bridge infrastructure;

  4. identifying existing research gaps and proposing forward-looking recommendations to address these deficiencies, thereby strengthening bridge management strategies and informing policy decisions; and

  5. synthesising the findings and presenting conclusive insights that underscore the study’s contributions to the field, offering a comprehensive understanding of bridge management challenges from both UK and global perspectives while shaping future research directions.

The search strategy was designed to ensure a systematic, comprehensive and replicable identification of relevant literature on bridge management. Key academic databases were selected based on their relevance to engineering, infrastructure and transportation research, including Scopus, Web of Science, ScienceDirect and the American Society of Civil Engineers digital library. These platforms were prioritised for their extensive coverage of peer-reviewed journal articles and conference proceedings, as well as their advanced search functionalities. A structured keyword strategy was developed, organising terms into three thematic categories (see Table 1). Boolean operators were used to refine the search: within each category, keywords were connected using “OR” to broaden results, while categories were linked using “AND” to ensure comprehensive inclusion. For example, a typical search string in Scopus included: (“Bridge” OR “Structure” OR “Assets”) AND (“Management” OR “Maintenance” OR “Assessment” OR “Operation”) AND (“Challenges” OR “Difficulties” OR “Problems” OR “Limitations” OR “Failure”). Search syntax was adapted to each database and only studies published in English from 2000 onward were considered, focusing on bridge management challenges in the UK and globally.

Table 1.

Systematic review keywords

Category 1Category 2Category 3
BridgeManagementChallenges
StructureMaintenanceDifficulties
AssetAssessmentProblems
OperationLimitations
Failure
Source(s): Authors’ own work

To ensure quality and relevance, inclusion criteria limited the review to peer-reviewed journal articles and conference papers, excluding non-academic sources such as editorials, opinion pieces and book reviews, as well as articles not available in full text or unrelated to bridge management. The screening process involved two stages: title and abstract review followed by full-text evaluation. Once eligible studies were confirmed, they were subjected to a structured content review based on four analytical categories outlined in Table 2. This approach enabled a comprehensive examination of both natural and human-induced factors influencing bridge management, establishing a robust foundation for the subsequent analysis.

Table 2.

Categories used in the analysis

CategoryDescription
Generic article informationBasic bibliographic and contextual information about the article (e.g. year of publication, country of contributing authors)
Natural factorsWhich natural factors are mentioned within the article?
Natural disasters, e.g. earthquakes and landslides
Hydraulic actions, e.g. scour and flooding
Materials deterioration, e.g. corrosion
Ageing
Human factorsWhich human factors are mentioned within the article? Environmental and structural challenges:
  • Climate change

  • Blast loading

  • Error in design or maintenance

  • Lack of maintenance

Operational and resource constraints:
  • Funding and skills shortage

  • Limited information on assets

Load-related and usage pressures:
  • Increased loading

Similarities to UK challengesFor articles with contribution from UK authors, how do the challenges mentioned within the article compare to the challenges identified within the literature review.
For articles without contribution from UK authors, how do the challenges mentioned within the article compare to the challenges identified within the literature review and articles with UK authors?
Source(s): Authors’ own work

The search through the selected database yielded a total of 1,088 potentially relevant articles. Following a systematic selection process, 976 articles were excluded based on predefined criteria, resulting in a refined set of 112 articles for further analysis, as shown in Figure 2, which provides a comprehensive overview of the article selection process and illustrates the quantitative and qualitative steps undertaken to narrow down the initial pool to the final set for in-depth review.

Figure 2.
A flowchart detailing the identification, screening, and inclusion of studies, showing the number of records at each stage, along with exclusions and articles included in the review.The flowchart illustrates the process of identifying studies via databases and registers. It begins with identifying 1,088 records from databases. All records are screened, maintaining the same count, and reports sought for retrieval total 120. The flowchart includes an exclusion of 968 records not considered scientific papers. After assessing eligibility, 120 reports move forward, with 8 articles excluded after full-text screening. Ultimately, 112 articles are included in the review. The layout uses directional arrows to depict the flow from identification through to inclusion, with distinct labelled sections for Identification, Screening, and Included. Rectangles contain numerical data relevant to each step, providing a clear overview of the study selection process.

Selection process of articles

Source: Authors’ own work

Figure 2.
A flowchart detailing the identification, screening, and inclusion of studies, showing the number of records at each stage, along with exclusions and articles included in the review.The flowchart illustrates the process of identifying studies via databases and registers. It begins with identifying 1,088 records from databases. All records are screened, maintaining the same count, and reports sought for retrieval total 120. The flowchart includes an exclusion of 968 records not considered scientific papers. After assessing eligibility, 120 reports move forward, with 8 articles excluded after full-text screening. Ultimately, 112 articles are included in the review. The layout uses directional arrows to depict the flow from identification through to inclusion, with distinct labelled sections for Identification, Screening, and Included. Rectangles contain numerical data relevant to each step, providing a clear overview of the study selection process.

Selection process of articles

Source: Authors’ own work

Close modal

The details of the articles retrieved through the PRISMA search are summarised in  Appendix 1. The data reveals that the USA (n = 33), China (n = 29), Italy (n = 16) and the UK (n = 11) were the top four contributing countries during the analysed period. Since 2014, the number of published articles has shown a general upward trend, except for 2019, which experienced a slight decline. Furthermore, as of March 2024, only three articles had been published, which explains the observed drop for that year.

This section examines the key challenges and influencing factors identified in the literature review that affect asset management in the UK. Through systematically analysing these challenges, the discussion highlights recurring issues and their broader implications for infrastructure sustainability and resilience.  Appendix 2 provides a detailed summary of these challenges, outlining the specific factors encountered by UK asset owners. Each row in the table represents a distinct case or instance, while the columns categorise challenges such as “Aging Infrastructure”, “Lack of Maintenance”, “Climate Change” and others. A checkmark (✓) indicates the presence of a particular challenge in the corresponding case. This structured representation not only enhances the understanding of the frequency and distribution of these challenges but also aids in identifying patterns, emerging trends and critical areas that require targeted interventions.

The USA contributed the highest number of articles (31), followed by China (29), Italy (16), the UK (11) and India (8), as illustrated in Figure 3. Collectively, these five countries accounted for 68% of the total publications over the past ten years.

Figure 3.
A bar chart shows the number of articles published by country, with the United States leading and Australia at the lowest.The horizontal bar chart compares the number of research articles published across countries. The United States has the highest with 33 articles, followed by Italy with 29, and India with 16. Portugal and South Korea each have 4, while Japan has 3. Switzerland, Serbia, France, and Brazil each contributed 2 articles. Romania, Mexico, Hong Kong, and Australia have the lowest contribution with 1 article each. The chart highlights the dominance of the United States and Italy in research output compared to relatively fewer contributions from other countries.

Number of articles per country

Source: Authors’ own work

Figure 3.
A bar chart shows the number of articles published by country, with the United States leading and Australia at the lowest.The horizontal bar chart compares the number of research articles published across countries. The United States has the highest with 33 articles, followed by Italy with 29, and India with 16. Portugal and South Korea each have 4, while Japan has 3. Switzerland, Serbia, France, and Brazil each contributed 2 articles. Romania, Mexico, Hong Kong, and Australia have the lowest contribution with 1 article each. The chart highlights the dominance of the United States and Italy in research output compared to relatively fewer contributions from other countries.

Number of articles per country

Source: Authors’ own work

Close modal

It is widely agreed that transportation infrastructure including bridges is the core infrastructure required for economic growth as it supports manufacturing and production activities (Frangopol and Liu, 2019). The higher volume of research output from countries such as the USA, China, Italy, the UK and India may be attributed to a combination of factors, including their advanced infrastructure systems, large populations, substantial research funding and well-established academic institutions. According to The World Bank data (2022), the economies of these countries fall within the top ten most prominent globally (USA = 1st, China = 2nd, Italy = 10th, UK = 6th and India = 5th). Their economic development gives them the resources and capacity to invest in research. This same reason could be a limiting factor as to why only 27 out of 195 countries globally have contributed to research in this field in the past 10 years. Of those 27 countries, 59% have only contributed one or two articles. Less economically developed countries may struggle to contribute to the cost of research in this area. It may be prudent for future researchers to explore the asset management challenges these less economically developed countries face and compare them with the economic powerhouses identified above.

Figure 4 shows the line chart comparing the number of articles from the rest of the world with those created by or contributed to by the UK between 2014 and 2024. The global article count (blue line) shows a steady rise from 2014, peaking around 2023 before experiencing a sharp decline in 2024. In contrast, UK-related articles (orange line) remain minimal until 2016, after which they gradually increase, reaching a peak in 2023 before also dropping in 2024. The overall trend suggests increasing global research output until 2023, with the UK playing a relatively small but growing role. However, the significant drop in 2024 for both categories may indicate external disruptions such as policy changes, funding reductions, or global events affecting publication rates.

Figure 4.
A line graph displays two data sets from 2012 to 2024: articles from the rest of the world and articles created by or with UK contributions.The image shows a line graph charting two categories of articles from 2012 to 2024. The horizontal axis represents the years from 2012 to 2026, while the vertical axis quantifies the number of articles, with increments likely at five. The blue line indicates the number of articles from the rest of the world, rising significantly over the years, peaking around 2022, then sharply declining in 2024. The orange line represents articles created by or with contributions from the UK, starting lower in the range and showing a gradual increase, reaching a peak in 2022 before declining in 2024. The graph includes grid lines for reference, enhancing readability of the data trends.

Articles per year

Source: Authors’ own work

Figure 4.
A line graph displays two data sets from 2012 to 2024: articles from the rest of the world and articles created by or with UK contributions.The image shows a line graph charting two categories of articles from 2012 to 2024. The horizontal axis represents the years from 2012 to 2026, while the vertical axis quantifies the number of articles, with increments likely at five. The blue line indicates the number of articles from the rest of the world, rising significantly over the years, peaking around 2022, then sharply declining in 2024. The orange line represents articles created by or with contributions from the UK, starting lower in the range and showing a gradual increase, reaching a peak in 2022 before declining in 2024. The graph includes grid lines for reference, enhancing readability of the data trends.

Articles per year

Source: Authors’ own work

Close modal

Figure 5 summarises key bridge management challenges, with hydraulic actions (e.g. scour and flooding) scoring the highest at 6, indicating their critical impact, particularly in the UK, where heavy rainfall and riverine environments are common. Natural disasters (e.g. earthquakes and landslides) and ageing infrastructure both score 3, reflecting their significance but lesser frequency or urgency compared to hydraulic issues. Notably, materials deterioration (e.g. corrosion) scores 0, which is unexpected given its global recognition as a major challenge, suggesting a potential data gap or contextual anomaly. Figure 5 emphasises the need to prioritise hydraulic actions while also addressing natural disasters and ageing, though the absence of material degradation as a concern warrants further investigation.

Figure 5.
A bar chart shows the number of articles on different natural factors affecting structures, including hydraulic actions, natural disasters, materials deterioration, and ageing.The image portrays a bar chart illustrating the number of articles associated with various natural factors impacting structures. The vertical axis represents the number of articles, ranging from zero to seven, while the horizontal axis lists four categories: Natural Disasters, Hydraulic Actions, Materials Deterioration, and Ageing. The bars indicate varying article quantities, with the bar for Hydraulic Actions being the tallest, followed by Natural Disasters then Materials Deterioration and Ageing, which have similar, shorter bars. This layout allows easy comparison of the data across the different categories, with clear delineation between each factor.

Natural factors affecting bridge asset management in the UK

Source: Authors’ own work

Figure 5.
A bar chart shows the number of articles on different natural factors affecting structures, including hydraulic actions, natural disasters, materials deterioration, and ageing.The image portrays a bar chart illustrating the number of articles associated with various natural factors impacting structures. The vertical axis represents the number of articles, ranging from zero to seven, while the horizontal axis lists four categories: Natural Disasters, Hydraulic Actions, Materials Deterioration, and Ageing. The bars indicate varying article quantities, with the bar for Hydraulic Actions being the tallest, followed by Natural Disasters then Materials Deterioration and Ageing, which have similar, shorter bars. This layout allows easy comparison of the data across the different categories, with clear delineation between each factor.

Natural factors affecting bridge asset management in the UK

Source: Authors’ own work

Close modal

Figure 6 presents an analysis of articles created by all other countries excluding the UK, highlighting natural factors affecting bridge asset management globally. Natural disasters (e.g. earthquakes and landslides) score the highest at 36, reflecting their catastrophic impact, particularly in disaster-prone regions. Hydraulic actions (e.g. scour and flooding) follow with a score of 30, emphasising the widespread challenge of water-related issues, a leading cause of bridge failures worldwide. Materials deterioration (e.g. corrosion) scores 20, indicating its significance as a persistent but more manageable issue, while ageing scores the lowest at 13, suggesting it is a gradual challenge often addressed through maintenance programmes. The data underscores the need to prioritise mitigating high-impact natural disasters and hydraulic actions while continuing to address material degradation and ageing infrastructure.

Figure 6.
A bar chart illustrates the number of articles related to different natural factors, including Natural Disasters, Hydraulic Actions, Materials Deterioration, and Ageing.The image displays a vertical bar chart showing the number of articles associated with various natural factors. The horizontal axis lists four categories: Natural Disasters (including earthquakes and landslides), Hydraulic Actions (such as scour and flooding), Materials Deterioration (like corrosion), and Ageing. The vertical axis quantifies the number of articles, ranging from zero to forty. The tallest bar, representing Natural Disasters, reaches just above thirty articles, while the bars for Hydraulic Actions and Materials Deterioration are shorter, with ageing representing the least number of articles. Each bar is filled in a solid orange colour, and the data flows from left to right across the categories.

Natural factors affecting bridge asset management in the rest of the world

Source: Authors’ own work

Figure 6.
A bar chart illustrates the number of articles related to different natural factors, including Natural Disasters, Hydraulic Actions, Materials Deterioration, and Ageing.The image displays a vertical bar chart showing the number of articles associated with various natural factors. The horizontal axis lists four categories: Natural Disasters (including earthquakes and landslides), Hydraulic Actions (such as scour and flooding), Materials Deterioration (like corrosion), and Ageing. The vertical axis quantifies the number of articles, ranging from zero to forty. The tallest bar, representing Natural Disasters, reaches just above thirty articles, while the bars for Hydraulic Actions and Materials Deterioration are shorter, with ageing representing the least number of articles. Each bar is filled in a solid orange colour, and the data flows from left to right across the categories.

Natural factors affecting bridge asset management in the rest of the world

Source: Authors’ own work

Close modal

The next sections examine key natural factors that influence bridge asset management. While grouped under the broad category of natural factors, natural disasters, hydraulic actions, material deterioration and ageing each present distinct challenges with varying impacts on infrastructure. To provide a more focused analysis, they are discussed separately in the following subsections.

3.2.1 Natural disasters.

The review highlights a notable disparity in research attention given to natural factors affecting bridge asset management in the UK compared to the rest of the world. In the UK, only three articles were identified on this topic, suggesting that it has not been a major focus of study. This may be attributed to the moderate climate of the country, which experiences fewer extreme weather events (Collings, 2025). In addition, the UK has well-established bridge maintenance and inspection protocols, which likely mitigate natural challenges and reduce the urgency for extensive research (Chen, 2017). However, some natural factors still pose risks to UK bridges. Flooding and heavy rainfall can weaken foundations and increase the likelihood of structural failures (Xiong et al., 2023). Furthermore, coastal erosion remains a concern for bridges near the sea, as exposure to saltwater and strong winds can accelerate corrosion and structural degradation (Xu et al., 2022).

Conversely, research on natural factors affecting bridge asset management globally is significantly more extensive, with 36 articles discussing these issues. This discrepancy highlights the greater diversity and severity of natural threats faced by bridges worldwide (Wilkie and Dyer, 2022). Countries that experience extreme weather conditions, such as earthquakes and heavy snowfall, require extensive research to mitigate these risks (Naser, 2021). Seismic activity is a critical concern in regions like Japan, California (USA) and Turkey, where earthquakes can lead to catastrophic bridge failures (Zhang et al., 2024). Coastal regions, particularly in Southeast Asia and the Caribbean, frequently endure hurricanes and typhoons, bringing strong winds and flooding that threaten bridge stability (Xu et al., 2022). In addition, desert regions experience extreme temperature fluctuations, causing material expansion and contraction, which increases the risk of cracking and long-term deterioration (Granata et al., 2023). In mountainous regions such as the Himalayas and the Andes, landslides and soil erosion pose significant threats to bridge foundations and overall structural integrity (Chatterjee et al., 2024).

3.2.2 Hydraulic actions.

The results of this systematic review, shows that hydraulic actions are the UK’s most researched natural factor. Dawson et al. (2018) explained that by 2080, 1 in 20 bridges in the UK will be at high risk of catastrophic failure due to an increased scour risk brought on by climate change. The systematic review also highlighted that this natural factor is the second most researched globally, suggesting it is a worldwide issue. This is further supported by previous studies which have highlighted scour as a global concern (Maroni et al., 2022; Scozzese et al., 2023; Kosič et al., 2023). Despite efforts to reduce the effects of climate change, these challenges continue to impact infrastructure globally. To address these challenges, several mitigation strategies can be implemented in the UK’s bridge management. Adopting advanced hydrological modelling and risk assessment tools, such as HEC-RAS, will help predict flood events and assess scour risks more accurately. Strengthening bridge foundations with scour protection methods like rock armouring, sheet piling, or gravel infiltration barriers can reduce vulnerability to hydraulic forces (Ahamed et al., 2021). Regular inspections and real-time monitoring systems such as geotechnical sensors, drones and advanced data acquisition tools will enhance long-term resilience. Emerging techniques like Digital Image Correlation, Artificial Intelligence, Deep Learning and InSAR imaging enable rapid, automated inspections and damage detection, even in hard-to-access locations, significantly improving the effectiveness of maintenance strategies (Kopiika and Blikharskyy, 2024; Rakoczy et al., 2024; Kopiika et al., 2025b). Managing sediment and debris accumulation through automated systems and debris screens will prevent blockages and further erosion (Wilson et al., 2014). Collaborative efforts between engineers, hydrologists and local authorities will improve the overall management of hydraulic actions, while developing emergency protocols for post-flood damage assessment and rapid repairs will ensure bridges are restored to service quickly. Implementing these strategies will mitigate the impacts of hydraulic actions, ensuring safer and more resilient infrastructure (Tubaldi et al., 2022).

3.2.3 Materials deterioration.

Material deterioration, particularly corrosion, is widely recognised as a major challenge in bridge management worldwide (Crespi et al., 2022). However, an unexpected finding from this systematic review is that in the UK, material deterioration is not identified as a significant issue, suggesting either a data gap or a contextual anomaly. This contrasts sharply with the global perspective, where material deterioration is acknowledged as a persistent but manageable challenge (Mondoro et al., 2017; Frangopol and Liu, 2019). The limit of UK-specific studies on corrosion may indicate a strong focus on preventive maintenance, protective coatings or advanced material technologies that mitigate its impact (Saylan and Seçer, 2024). Alternatively, it could point to an underrepresentation of long-term degradation challenges in UK bridge management research. Globally, corrosion remains a pressing issue, particularly in regions with extreme weather conditions, high humidity and exposure to saltwater (Menga et al., 2023). The discrepancy between UK and global findings underscores the need for further investigation into the true extent of material deterioration in UK bridges and whether current strategies are effectively mitigating long-term risks.

3.2.4 Ageing.

The results of a systematic review suggest that ageing infrastructure, including bridges, remains an under-researched topic. In the UK, it ranks second last among researched natural factors and last globally. A deeper analysis in Figure 7 shows that the number of academic articles produced on ageing structures has remained stagnant, averaging just over one article per year, despite the rising average age of structures. This lack of research is concerning as the challenge of maintaining ageing bridges in the UK becomes increasingly urgent (Wu et al., 2021). A significant number of bridges are reaching the end of their service life a phenomenon often referred to as the “asset time bomb” (Medina et al., 2023). In the UK alone, thousands of bridges are classified as substandard, with many unable to support the weight of modern vehicles (Georgantzia and Kashani, 2025). Recent report by Topham (2022) indicates that over 3,211 bridges require significant maintenance or weight restrictions, posing risks to transport networks and economic efficiency. Meanwhile, infrastructure investment remains sluggish, with the UK’s net stock of market sector infrastructure reaching £350.2bn in 2023 an increase of just 0.3% from the previous year. In addition, an estimated £700bn infrastructure spending shortfall looms by 2040, with £1.6tn worth of capital projects currently unfunded [Office for National Statistics (ONS), 2024].

Figure 7.
A line chart displays the number of articles containing ageing infrastructure as a natural factor from 2014 to 2024, with fluctuations between 0 and 3 and a linear trend near 1.2.The chart tracks the number of articles containing ageing infrastructure as a natural factor from 2014 to 2024. The values fluctuate between 0 and 3, with peaks at 2015, 2017 to 2018, 2020 to 2022, and a maximum of 3 in 2022. Dips to 0 occur in 2016, 2019, and 2023. The dotted linear trendline stays consistent at around 1.2, indicating no significant long-term growth in research attention despite the variations across years.

Number of articles discussing ageing infrastructure as a natural factor per year

Source: Authors’ own work

Figure 7.
A line chart displays the number of articles containing ageing infrastructure as a natural factor from 2014 to 2024, with fluctuations between 0 and 3 and a linear trend near 1.2.The chart tracks the number of articles containing ageing infrastructure as a natural factor from 2014 to 2024. The values fluctuate between 0 and 3, with peaks at 2015, 2017 to 2018, 2020 to 2022, and a maximum of 3 in 2022. Dips to 0 occur in 2016, 2019, and 2023. The dotted linear trendline stays consistent at around 1.2, indicating no significant long-term growth in research attention despite the variations across years.

Number of articles discussing ageing infrastructure as a natural factor per year

Source: Authors’ own work

Close modal

The human factors impacting bridge asset management in the UK, extracted from a systematic review, are presented in Figure 8. The data reflect the frequency of these factors affecting bridges, providing insight into key concerns and gaps. Climate change (five articles) emerges as the most significant challenge, highlighting the need for resilience against environmental impacts such as flooding and temperature fluctuations. Although climate change is classified here as a human-induced factor due to its anthropogenic causes, its effects also contribute to natural deterioration processes such as material degradation, ageing and increased flood risk underscoring the interconnected nature of these challenges. Increased loading (two articles) indicates that rising traffic demands may be placing excessive stress on bridge structures. Limited information on assets (one article) suggests gaps in data management that could hinder proactive maintenance. Interestingly, factors like lack of maintenance, design errors, funding and skills shortage and blast loading were not reported as major concerns, implying either effective current management practices or potential underreporting.

Figure 8.
A bar chart shows causes affecting infrastructure, with climate change at 5 articles, increased loading at 2, and limited information on asset at 1, while other causes show zero.The chart highlights the frequency of different causes discussed in relation to infrastructure. Climate change is the most reported cause with 5 articles, followed by increased loading with 2 articles, and limited information on asset with 1 article. Lack of maintenance, error in design or maintenance, funding and skills shortage, and blast loading show no reported articles. This indicates that climate change is perceived as the primary contributing factor to infrastructure concerns, while other issues receive little or no coverage.

Human-made factors affecting bridge asset management in the UK

Source: Authors’ own work

Figure 8.
A bar chart shows causes affecting infrastructure, with climate change at 5 articles, increased loading at 2, and limited information on asset at 1, while other causes show zero.The chart highlights the frequency of different causes discussed in relation to infrastructure. Climate change is the most reported cause with 5 articles, followed by increased loading with 2 articles, and limited information on asset with 1 article. Lack of maintenance, error in design or maintenance, funding and skills shortage, and blast loading show no reported articles. This indicates that climate change is perceived as the primary contributing factor to infrastructure concerns, while other issues receive little or no coverage.

Human-made factors affecting bridge asset management in the UK

Source: Authors’ own work

Close modal

Figure 9 presents human factors impacting bridge asset management in the rest of the world, extracted from a systematic review. The data highlights the frequency of these factors, offering insight into global bridge management challenges. Increased loading (11 articles) is the most significant issue, suggesting that rising traffic demands and heavier vehicles are putting substantial stress on bridge structures worldwide. Climate change and lack of maintenance (six articles) also pose major concerns, emphasising the impact of extreme weather conditions and insufficient upkeep on bridge durability. Errors in design or maintenance (four articles) and funding and skills shortage (three articles) indicate that structural flaws and external forces are contributing to bridge vulnerabilities. Interestingly, limited information on assets was not reported as a concern, implying that asset tracking and data management may be more developed globally compared to the UK. Blast loading (one article) appears to be a minor but notable factor. However, the ongoing rise in global conflicts and terrorist threats highlights its growing relevance. As such, blast impacts on bridge infrastructure should be considered an emerging risk, warranting further investigation in future studies (Kopiika et al., 2025c).

Figure 9.
A bar chart shows causes affecting infrastructure, with increased loading highest at 11 articles, climate change and lack of maintenance at 6 each, error in design or maintenance at 4, funding and skills shortage at 3, blast loading at 1, and limited information on asset at 0.The chart presents the frequency of causes associated with infrastructure issues. Increased loading dominates with 11 articles, making it the most frequently cited factor. Climate change and lack of maintenance are equal at 6 each. Error in design or maintenance follows with 4 articles, while funding and skills shortage accounts for 3. Blast loading is mentioned once, and limited information on asset is not reported at all. The data highlights increased loading as the most significant concern, with climate change and lack of maintenance also considered critical, while blast loading and information gaps are far less discussed.

Human-made factors affecting bridge asset management in the rest of the world

Source: Authors’ own work

Figure 9.
A bar chart shows causes affecting infrastructure, with increased loading highest at 11 articles, climate change and lack of maintenance at 6 each, error in design or maintenance at 4, funding and skills shortage at 3, blast loading at 1, and limited information on asset at 0.The chart presents the frequency of causes associated with infrastructure issues. Increased loading dominates with 11 articles, making it the most frequently cited factor. Climate change and lack of maintenance are equal at 6 each. Error in design or maintenance follows with 4 articles, while funding and skills shortage accounts for 3. Blast loading is mentioned once, and limited information on asset is not reported at all. The data highlights increased loading as the most significant concern, with climate change and lack of maintenance also considered critical, while blast loading and information gaps are far less discussed.

Human-made factors affecting bridge asset management in the rest of the world

Source: Authors’ own work

Close modal

3.3.1 Environmental and structural challenges.

Bridge management challenges vary between the UK and the rest of the world, highlighting differing priorities and vulnerabilities. The results of the systematic review showed that climate change, while human-induced, significantly influences deterioration patterns, ageing and natural hazards, thereby affecting structural performance globally, an observation also supported by recent findings from Kopiika et al. (2025a). Climate change refers to the long-term shifts in temperature and weather patterns due to human activity, including fossil fuel consumption and deforestation (Shivanna, 2022). It was the UK’s most researched human-made factor and the rest of the world’s second most. While climate change and human contribution to it are widely reported, the consequences of changing temperature and weather patterns pose the greatest risks to infrastructure rather than climate change itself. These consequences include an increased risk of scour and flooding, which can accelerate material degradation, undermine bridge foundations and shorten the lifespan of critical structures (Kosič et al., 2023). The impact of scour and flooding was identified as the UK’s most researched natural factor and the second most in the rest of the world, reinforcing the correlation between climate change and structural vulnerabilities.

Interestingly, while the UK focuses on climate resilience, other global regions face additional challenges such as lack of maintenance and errors in design or maintenance, highlighting broader structural and operational deficiencies (Barrelas et al., 2021). Many countries struggle with inadequate funding, skill shortages and outdated infrastructure, which increase the risk of structural failures (Muhaimin et al., 2021; Georgantzia and Kashani, 2025). In contrast, the UK’s regulatory frameworks and maintenance strategies may have mitigated these issues, as factors such as blast loading, design errors and maintenance deficiencies were not identified as major concerns. However, on a global scale, blast loading remains a minor but existing risk, particularly in regions with security threats or exposure to extreme external forces.

Given the inevitability of climate change, research and engineering efforts should be directed towards protecting structures from its consequences. This includes the implementation of adaptive design strategies, predictive maintenance technologies and sustainable infrastructure investments (Mahammedi et al., 2025). In the UK, this means strengthening flood-resistant foundations, improving drainage systems and deploying real-time monitoring technologies to assess vulnerabilities. Globally, more significant efforts are required to address fundamental maintenance and design challenges, ensuring long-term bridge performance and safety. Without proactive measures, the increasing frequency and intensity of climate-driven challenges will continue to pose a serious threat to bridge infrastructure worldwide.

3.3.2 Load-related and usage pressures.

Studies have shown that as vehicle weight and traffic volume increase, the structural integrity of bridges is progressively compromised (Mendoza-Lugo et al., 2019). For instance, Pittala et al. (2023) highlighted a significant increase in average vehicle weight, which contributes to accelerated wear and tear on bridge structures. Furthermore, a study by Chen et al. (2021) reports a growing population and urbanisation trends, both of which drive higher traffic volumes, leading to increased loading on transportation networks. This, in turn, exacerbates the deterioration of bridges, particularly those that were not originally designed to withstand modern vehicle loads. In addition, Yang and Frangopol (2020) emphasised that the growth in traffic loading, driven by socio-economic development, significantly impacts bridge condition, accelerating the need for maintenance and repairs. A study published in Infrastructures developed a stochastic traffic load model using Weigh-In-Motion measurements, finding that annual increases in traffic load significantly impact fatigue damage in steel bridges (Shi et al., 2023). Research in the Journal of Risk and Uncertainty in Engineering Systems highlighted that heavy-duty vehicles contribute to accelerated wear and tear of bridges, emphasising the need for appropriate load limits to mitigate deterioration (Kim et al., 2022). These studies collectively demonstrate that increased traffic loads, particularly from heavy-duty vehicles, significantly contribute to bridge degradation, providing stronger empirical support for the argument in the manuscript.

3.3.3 Operational and resource constraints.

Despite the recognition of skills shortages as a critical challenge in infrastructure and bridge management, there is a limited academic focus on this issue. Industry reports and operational-level solutions address the problem, but scholarly research lags, hindering the development of evidence-based solutions. This disconnect restricts efforts to understand the long-term impact of skills shortages on asset management and safety, preventing targeted educational initiatives. Given the increasing pressures on the infrastructure sector, further research is essential to develop strategies for addressing skills shortages and ensuring long-term sustainability in bridge management. Similarly, while funding and skills shortages were identified as factors affecting bridge asset management in the UK during a review of previous literature, they were not included in the systematic review. Global studies have cited a lack of maintenance due to limited cost and resourcing as a constraint (Dorin et al., 2017; Qi et al., 2020; Yang and Frangopol, 2020), but the number of articles on this subject remains relatively low compared to other factors. The exact reasons why the UK has not fully explored funding and skills shortages are unclear, but factors such as the complexity of infrastructure funding and the large number of asset owners in the UK likely contribute to this gap. The multitude of factors affecting the deterioration of structures further complicates the identification of funding streams, making it a challenging area for researchers to address comprehensively.

This research provides a comprehensive analysis of bridge management challenges, contributing to the academic discourse on infrastructure resilience. By identifying key factors such as hydraulic actions, ageing infrastructure and climate change, the study offers valuable insights into the complexities of bridge management, especially in the UK. Theoretically, it enhances existing frameworks on asset management by integrating a comparative analysis of the distinct challenges faced by the UK and other global regions. The global comparison not only deepens the understanding of regional variations but also introduces a novel lens through which best practices in infrastructure management can be evaluated and adapted to local contexts (Mitoulis et al., 2022; Pregnolato, 2019).

The study emphasises the significance of natural and human-made factors, such as increased loading, skills shortages and funding constraints, in shaping bridge management strategies. This theoretical foundation underscores the interplay between technical challenges, resource allocation and long-term sustainability. The methodological approach, rooted in a systematic literature review, serves as a replicable framework for examining infrastructure management challenges in other sectors, thus extending its applicability beyond bridge management (Muhaimin et al., 2021). The identification of underexplored challenges, such as ageing infrastructure and the complexities of funding and skills shortages, paves the way for future research to develop more comprehensive and adaptive models for infrastructure resilience.

For policymakers and infrastructure managers, the findings of this study provide actionable recommendations for improving bridge asset management. The identification of hydraulic actions and ageing infrastructure as critical challenges in the UK underscores the urgent need for targeted investments in maintenance and upgrades. Policymakers can leverage these insights to prioritise funding allocations and ensure resources are directed towards the most pressing infrastructure vulnerabilities (Johnson, 2023a, 2023b). In addition, the study highlights the importance of adopting advanced monitoring technologies, such as LiDAR and Ground Penetrating Radar (GPR), to enhance the detection and mitigation of risks associated with climate-induced scour and flooding. The integration of these technologies, infrastructure managers can better address challenges posed by climate change and ageing infrastructure, fostering long-term resilience (Pregnolato, 2019).

On a global scale, the research advocates for enhanced international collaboration to address shared infrastructure challenges, such as the impact of climate change on bridge performance. By promoting the exchange of knowledge and technological advancements, countries with vulnerable infrastructure, like the UK, can benefit from best practices developed in regions facing similar risks (Roy and Matsagar, 2023). Such collaborations can also foster innovation in funding models and workforce development, which are essential for tackling the resource constraints that often impede effective bridge management (Hampton and Curtis, 2022).

The social Implications of these findings are profound. Poorly maintained infrastructure not only affects economic productivity but also directly impacts the quality of life of citizens. For example, incidents such as the prolonged closure of Hammersmith Bridge in London have led to increased travel time, disruption of local businesses and restricted community access, which highlights the social costs of neglecting bridge management (Johnson, 2023a). These disruptions also amplify the economic burden, as more time and resources are spent on addressing the fallout from infrastructure failures. The social consequences are further compounded by increased safety risks, as seen in the collapse of the I-35W bridge in Minneapolis, which resulted in fatalities and injuries (Schooling et al., 2023).

The study emphasises the urgent need for robust, adaptive strategies to mitigate these risks. As bridges deteriorate and the number of ageing structures increases, the potential for failure grows, leading to more frequent social disruptions. This underscores the importance of investing in resilient infrastructure that ensures continued access to transportation networks, which are critical for social connectivity, emergency response and economic activity (RAC Foundation, 2017). Enhancing infrastructure resilience can also support broader societal goals, such as promoting sustainability and reducing the vulnerability of communities to climate-induced disruptions (Kosič et al., 2023). For instance, improving bridge management practices that prioritise climate resilience can help reduce the negative impacts of flooding and scour, which disproportionately affect vulnerable communities.

This research presents a systematic review of the challenges in bridge asset management, analysing 112 articles from a pool of 1,088, with a particular focus on the UK within a global context. The study identifies key factors influencing bridge maintenance and resilience, including ageing infrastructure, climate change, funding constraints and skills shortages. The findings highlight the urgent need for adaptive management strategies, especially as increasing traffic loads and environmental risks place growing demands on bridge networks. A comparative analysis reveals that while the UK faces distinct challenges such as hydraulic risks and ageing bridges many of these issues are globally shared, highlighting the need for collaborative approaches to bridge management.

Despite extensive research, several critical gaps persist in infrastructure management. Ageing assets demand greater attention as they pose increasing challenges for asset managers worldwide. In addition, funding constraints and skills shortages require in-depth studies to quantify their impact on bridge safety and longevity. In the UK, these issues remain underexplored, further complicating infrastructure management efforts. While climate change has been widely studied for immediate threats like flooding and scour, long-term adaptation strategies and resilience measures warrant deeper investigation.

To address the identified challenges, practical interdisciplinary collaborations are crucial. These collaborations should actively integrate expertise from structural engineering, environmental science and socio-economics to foster comprehensive, multidimensional solutions. For instance, joint research projects could be initiated between engineering and environmental science departments to design climate-resilient infrastructure, while socio-economists could assess the broader socio-economic impacts of infrastructure management decisions. Comparative studies involving both high- and low-income countries will provide a broader understanding of the unique regional challenges, leading to solutions applicable globally. Strengthened international cooperation can facilitate the exchange of best practices, especially in implementing sustainability measures and building resilience. In terms of technological advancements, investment in state-of-the-art monitoring tools like LiDAR, Ground Penetrating Radar (GPR), and drones should be prioritised for early detection of vulnerabilities, particularly in ageing infrastructures and those exposed to climate risks. Policymakers need to align resource allocation with infrastructure vulnerabilities, embedding sustainability and resilience principles into regulatory frameworks to guide future development. Furthermore, adaptive management strategies, including predictive modelling and lifecycle assessment tools, must be integrated to proactively address evolving challenges. Finally, academia and industry should collaborate more closely to establish innovative funding mechanisms that incentivise infrastructure investment and attract skilled professionals, thus addressing the ongoing skills shortage. Through these practical implementation mechanisms, interdisciplinary collaboration can directly address the challenges facing bridge management and infrastructure resilience.

Ahamed
,
T.
,
Duan
,
J.G.
and
Jo
,
H.
(
2021
), “
Flood-fragility analysis of instream bridges–consideration of flow hydraulics, geotechnical uncertainties, and variable scour depth
”,
Structure and Infrastructure Engineering
, Vol.
17
No.
11
, pp.
1494
-
1507
, doi: .
Ahmed
,
H.U.
,
Mahmood
,
L.J.
,
Muhammad
,
M.A.
,
Faraj
,
R.H.
,
Qaidi
,
S.M.
,
Sor
,
N.H.
,
Mohammed
,
A.S.
and
Mohammed
,
A.A.
(
2022
), “
Geopolymer concrete as a cleaner construction material: an overview on materials and structural performances
”,
Cleaner Materials
, Vol.
5
, p.
100111
, doi: .
Al-Mhdawi
,
M.K.S.
,
O’Connor
,
A.
and
Qazi
,
A.
(
2024
), “
Structural equation modeling and fuzzy set theory: advancing risk assessment in oil and gas construction projects
”,
Environmental Impact Assessment Review
, Vol.
109
, p.
107622
, doi: .
Al-Mhdawi
,
M.K.S.
,
Brito
,
M.P.
,
Abdul Nabi
,
M.
,
El-Adaway
,
I.H.
and
Onggo
,
B.S.
(
2022
), “
Capturing the impact of COVID-19 on construction projects in developing countries: a case study of Iraq
”,
Journal of Management in Engineering
, Vol.
38
No.
1
, p.
5021015
, doi: .
Al-Mhdawi
,
M.K.S.
,
O’connor
,
A.
,
Qazi
,
A.
,
Rahimian
,
F.
and
Dacre
,
N.
(
2025
), “
Review of studies on risk factors in critical infrastructure projects from 2011 to 2023
”,
Smart and Sustainable Built Environment
, Vol.
14
No.
2
, pp.
342
-
376
, doi: .
Barrelas
,
J.
,
Ren
,
Q.
and
Pereira
,
C.
(
2021
), “
Implications of climate change in the implementation of maintenance planning and use of building inspection systems
”,
Journal of Building Engineering
, Vol.
40
, p.
102777
, doi: .
Chatterjee
,
A.
,
Mitra
,
I.
and
De
,
M.
(
2024
), “From vulnerability to resilience: the role of community participation in landslide risk mitigation in the Himalayan region”, In
Landslides in the Himalayan Region: Risk Assessment and Mitigation Strategy for Sustainable Management
,
Springer Nature Singapore
,
Singapore
, pp.
465
-
497
, doi: .
Chen
,
H.P.
(
2017
), “
Monitoring-based reliability analysis of aging concrete structures by Bayesian updating
”,
Journal of Aerospace Engineering
, Vol.
30
No.
2
, p.
B4015004
, doi: .
Chen
,
L.
,
Qian
,
J.
,
Tu
,
B.
,
Frangopol
,
D.M.
and
Dong
,
Y.
(
2021
), “
Performance-based risk assessment of reinforced concrete bridge piers subjected to vehicle collision
”,
Engineering Structures
, Vol.
229
, p.
111640
, doi: .
Collings
,
D.
(
2025
), “
Investigating climate change effects on bridges and tunnels
”,
Proceedings of the Institution of Civil Engineers - Bridge Engineering
, Vol.
178
No.
3
, pp.
220
-
228
, doi: .
Crespi
,
P.
,
Zucca
,
M.
,
Valente
,
M.
and
Longarini
,
N.
(
2022
), “
Influence of corrosion effects on the seismic capacity of existing RC bridges
”,
Engineering Failure Analysis
, Vol.
140
, p.
106546
, doi: .
Cusumano
,
N.
,
Siemiatycki
,
M.
and
Vecchi
,
V.
(
2022
), “
The politicization of public–private partnerships following a mega-project disaster: the case of the Morandi bridge collapse
”,
Journal of Economic Policy Reform
, Vol.
25
No.
2
, pp.
173
-
189
, doi: .
Dawson
,
R.J.
,
Thompson
,
D.
,
Johns
,
D.
,
Wood
,
R.
,
Darch
,
G.
,
Chapman
,
L.
,
Hughes
,
P.N.
,
Watson
,
G.V.R.
,
Paulson
,
K.
,
Bell
,
S.
,
Gosling
,
S.N.
,
Powrie
,
W.
and
Hall
,
J.W.
(
2018
), “
A systems framework for national assessment of climate risks to infrastructure
”,
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
, Vol.
376
No.
2121
, p.
20170298
, doi: .
Dorin
,
R.
,
Feier
,
A.
,
Petzek
,
E.
and
Bancila
,
R.
(
2017
), “
Refurbishment of existing steel structures – an actual problem
”,
Periodica Polytechnica Civil Engineering
, Vol.
61
No.
3
, pp.
621
-
631
, doi: .
Elseknidy
,
M.
,
Al-Mhdawi
,
M.K.S.
,
Qazi
,
A.
,
Ojiako
,
U.
,
Mahammedi
,
C.
and
Rahimian
,
F.P.
(
2025
), “
Developing a sustainability-driven risk management framework for green building projects: a literature review
”,
Journal of Cleaner Production
, Vol.
519
, p.
145891
, doi: .
Feng
,
D.C.
,
Ding
,
J.Y.
,
Xie
,
S.C.
,
Li
,
Y.
,
Akiyama
,
M.
,
Lu
,
Y.
,
Beer
,
M.
and
Li
,
J.
(
2024
), “
Climate change impacts on the risk assessment of concrete civil infrastructures
”,
ASCE OPEN: Multidisciplinary Journal of Civil Engineering
, Vol.
2
No.
1
, p.
03124001
, doi: .
Fonseca-Sarmiento
,
C.
,
Zeerak
,
R.
,
Jiang
,
H.
and
Zhao
,
J.
(
2022
), “
The impacts of deferred maintenance in Minnesota (No. MN 2022-08)
”,
Minnesota Department of Transportation, Office of Research and Innovation
.
Frangopol
,
D.M.
and
Liu
,
M.
(
2019
), “Maintenance and management of civil infrastructure based on condition, safety, optimization, and life-cycle cost”,
Structures and Infrastructure Systems
,
Routledge
, pp.
96
-
108
.
Galvão
,
N.
,
Matos
,
J.C.
and
Oliveira
,
D.V.
(
2021
), “
Human error–induced risk in reinforced concrete bridge engineering
”,
Journal of Performance of Constructed Facilities
, Vol.
35
No.
4
, p.
4021026
, doi: .
Georgantzia
,
E.
and
Kashani
,
M.M.
(
2025
), “
On the use of aluminium alloys in sustainable design, construction and rehabilitation of bridges
”,
Proceedings of the Institution of Civil Engineers - Bridge Engineering
, Vol.
178
No.
3
, pp.
229
-
241
, doi: .
Granata
,
M.F.
,
La Mendola
,
L.
,
Messina
,
D.
and
Recupero
,
A.
(
2023
), “
Assessment and strengthening of reinforced concrete bridges with half‐joint deterioration
”,
Structural Concrete
, Vol.
24
No.
1
, pp.
269
-
287
, doi: .
Hadlos
,
A.
,
Opdyke
,
A.
,
Hadigheh
,
S.A.
and
Gato
,
C.
(
2024
), “
Pathways of multi-hazard post-disaster housing reconstruction among Ivatan indigenous households
”,
Journal of Building Engineering
, Vol.
91
, p.
109636
, doi: .
Hampton
,
S.
and
Curtis
,
J.
(
2022
), “
A bridge over troubled water? Flood insurance and the governance of climate change adaptation
”,
Geoforum
, Vol.
136
, pp.
80
-
91
, doi: .
Johnson
,
T.
(
2023a
), “
Norwegian steel truss rail bridge collapses as Storm Hans wreaks havoc for nation
”,
New Civil Engineer, 16 August
,
available at:
Link to Norwegian steel truss rail bridge collapses as Storm Hans wreaks havoc for nationLink to the cited article. (
accessed
25 February 2025).
Johnson
,
T.
(
2023b
), “
TfL renews call for long-term capital funding deal from government as it faces £475M shortfall in 2024-25
”,
New Civil Engineer, 10 July
,
available at:
Link to TfL renews call for long-term capital funding deal from government as it faces £475M shortfall in 2024-25Link to the cited article. (
accessed
5 February 2024).
Kim
,
S.
,
Ge
,
B.
and
Frangopol
,
D.M.
(
2022
), “
Probabilistic optimum bridge system maintenance management considering correlations of deteriorating components and service life extensions
”,
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
, Vol.
8
No.
3
, p.
4022023
, doi: .
Kopiika
,
N.
and
Blikharskyy
,
Y.
(
2024
), “
Digital image correlation for assessment of bridges’ technical state and remaining resource
”,
Structural Control and Health Monitoring
, Vol.
2024
No.
1
, p.
1763285
, doi: .
Kopiika
,
N.
,
Robery
,
P.
,
Ninić
,
J.
and
Mitoulis
,
S.A.
(
2025
a), “
Quantifying structural deterioration for sustainable development: the importance of climate adaptation of existing critical infrastructure
”, doi: .
Kopiika
,
N.
,
Di Bari
,
R.
,
Argyroudis
,
S.
,
Ninic
,
J.
and
Mitoulis
,
S.A.
(
2025
c), “
Sustainability and resilience-driven prioritisation for restoring critical infrastructure after major disasters and conflict
”,
Transportation Research Part D: Transport and Environment
, Vol.
139
, p.
104592
.
Kopiika
,
N.
,
Karavias
,
A.
,
Krassakis
,
P.
,
Ye
,
Z.
,
Ninic
,
J.
,
Shakhovska
,
N.
,
Argyroudis
,
S.
and
Mitoulis
,
S.A.
(
2025
b), “
Rapid post-disaster infrastructure damage characterisation using remote sensing and deep learning technologies: a tiered approach
”,
Automation in Construction
, Vol.
170
, p.
105955
, doi: .
Kosič
,
M.
,
Prendergast
,
L.J.
and
Anžlin
,
A.
(
2023
), “
Analysis of the response of a roadway bridge under extreme flooding-related events: Scour and debris-loading
”,
Engineering Structures
, Vol.
279
, p.
115607
, doi: .
Liu
,
Y.
,
Pang
,
B.
,
Wang
,
Y.
,
Shi
,
C.
,
Zhang
,
B.
,
Guo
,
X.
,
Zhou
,
S.
and
Wang
,
J.
(
2022
), “
Life-cycle maintenance strategy of bridges considering reliability, environment, cost and failure probability CO2 emission reduction: a bridge study with climate scenarios
”,
Journal of Cleaner Production
, Vol.
379
, p.
134740
, doi: .
Mahammedi
,
C.
,
Butt
,
T.E.
and
Al-Mhdawi
,
M.K.S.
(
2025
), “Emerging technologies in health and safety management: current perspectives and future prospects”,
Research Companion to Innovation in Construction
,
Edward Elgar Publishing
, pp.
300
-
321
.
Mahammedi
,
C.
,
Mahdjoubi
,
L.
,
Booth
,
C.
,
Bowman
,
R.
and
Butt
,
T.E.
(
2022
), “
Criteria for preliminary risk assessment of brownfield site: an international survey of experts
”,
Environmental Management
, Vol.
70
No.
4
, pp.
681
-
696
, doi: .
Mahammedi
,
C.
,
Mahdjoubi
,
L.
,
Booth
,
C.
,
Butt
,
T.E.
and
Al-Mhdawi
,
M.K.S.
(
2024
), “
The design and validation of a decision support system (DSS) for the preliminary risk assessment of brownfield sites (PRABS)
”,
Smart and Sustainable Built Environment
, doi: .
Mahammedi
,
C.
,
Mahdjoubi
,
L.
,
Booth
,
C.A.
,
Akram
,
H.
and
Butt
,
T.E.
(
2020
), “
A systematic review of risk assessment tools for contaminated sites–current perspectives and future prospects
”,
Environmental Research
, Vol.
191
, p.
110180
.
Maroni
,
A.
,
Tubaldi
,
E.
,
McDonald
,
H.
and
Zonta
,
D.
(
2022
), “
A monitoring-based classification system for risk management of bridge scour
”,
Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction
, Vol.
175
No.
2
, pp.
92
-
102
, doi: .
Medina
,
P.A.
,
González
,
F.J.L.
and
Todisco
,
L.
(
2023
), “
Probability-based damage thresholds for bridges’ inspection-based deterioration curves
”,
Engineering Structures
, Vol.
294
, p.
116668
, doi: .
Mendoza-Lugo
,
M.A.
,
Delgado-Hernández
,
D.J.
and
Morales-Nápoles
,
O.
(
2019
), “
Reliability analysis of reinforced concrete vehicle bridges columns using non-parametric Bayesian networks
”,
Engineering Structures
, Vol.
188
, pp.
178
-
187
, doi: .
Menga
,
A.
,
Kanstad
,
T.
,
Cantero
,
D.
,
Bathen
,
L.
,
Hornbostel
,
K.
and
Klausen
,
A.
(
2023
), “
Corrosion‐induced damages and failures of posttensioned bridges: a literature review
”,
Structural Concrete
, Vol.
24
No.
1
, pp.
84
-
99
, doi: .
Minnesota Legislative Reference Library
(
2022
), “
Minneapolis interstate 35W bridge collapse
”,
available at:
Link to Minneapolis interstate 35W bridge collapseLink to the cited article. (
accessed
20 February 2025).
Mitoulis
,
S.A.
,
Domaneschi
,
M.
,
Cimellaro
,
G.P.
and
Casas
,
J.R.
(
2022
), “
Bridge and transport network resilience–a perspective
”,
Proceedings of the Institution of Civil Engineers - Bridge Engineering
, Vol.
175
No.
3
, pp.
138
-
149
.
Mohamed
,
M.
,
Al-Mhdawi
,
M.K.S.
,
Ojiako
,
U.
,
Dacre
,
N.
,
Qazi
,
A.
and
Rahimian
,
F.P.
(
2025
), “
Generative AI in construction risk management: a bibliometric analysis of the associated benefits and risks
”,
Urbanization, Sustainability and Society
, Vol.
2
No.
1
, pp.
196
-
228
.
Mohammadi
,
A.
,
Igwe
,
C.
,
Amador-Jimenez
,
L.
and
Nasiri
,
F.
(
2022
), “
Applying lean construction principles in road maintenance planning and scheduling
”,
International Journal of Construction Management
, Vol.
22
No.
12
, pp.
2364
-
2374
, doi: .
Mondoro
,
A.
and
Frangopol
,
D.M.
(
2018
), “
Risk-based cost-benefit analysis for the retrofit of bridges exposed to extreme hydrologic events considering multiple failure modes
”,
Engineering Structures
, Vol.
159
, pp.
310
-
319
, doi: .
Mondoro
,
A.
,
Frangopol
,
D.M.
and
Soliman
,
M.
(
2017
), “
Optimal risk-based management of coastal bridges vulnerable to hurricanes
”,
Journal of Infrastructure Systems
, Vol.
23
No.
3
, p.
4016046
, doi: .
Muhaimin
,
A.M.M.
,
Zhang
,
L.
,
Dhakal
,
S.
,
Lv
,
X.
,
Pradhananga
,
N.
,
Kalasapudi
,
V.S.
and
Azizinamini
,
A.
(
2021
), “
Identification and analysis of factors affecting the future of bridge design, construction, and operation
”,
Journal of Management in Engineering
, Vol.
37
No.
5
, p.
4021049
, doi: .
Naser
,
M.Z.
(
2021
), “
Can past failures help identify vulnerable bridges to extreme events? A biomimetically machine learning approach
”,
Engineering with Computers
, Vol.
37
No.
2
, pp.
1099
-
1131
, doi: .
Nasr
,
A.
,
Björnsson
,
I.
,
Honfi
,
D.
,
Larsson Ivanov
,
O.
,
Johansson
,
J.
and
Kjellström
,
E.
(
2021
), “
A review of the potential impacts of climate change on the safety and performance of bridges
”,
Sustainable and Resilient Infrastructure
, Vol.
6
Nos
3-4
, pp.
192
-
212
, doi: .
Office for National Statistics (ONS)
(
2024
), “
Infrastructure in the UK, investment and net stocks: July 2024
”,
available at:
Link to Infrastructure in the UK, investment and net stocks: July 2024Link to the cited article. (
accessed
10 February 2025).
Pittala
,
R.K.
,
Diwakar
,
G.
,
Harshavardhan
,
V.L.N.
,
Charan
,
T.B.S.S.
,
Alisha
,
M.A.
and
Naik
,
K.K.
(
2023
), “
Forecasting remaining usable life of vehicle bearings for enhanced production and reduced maintenance costs
”,
International Journal of Vehicle Structures and Systems
, Vol.
15
No.
6
, pp.
852
-
855
, doi: .
Poli
,
F.
,
Brighenti
,
F.
,
Bado
,
M.F.
and
Zonta
,
D.
(
2024
), “
Bridge structural reliability for maintenance prioritization
”,
Structural Engineering International
, Vol.
34
No.
4
, pp.
586
-
595
, doi: .
Pregnolato
,
M.
(
2019
), “
Bridge safety is not for granted – a novel approach to bridge management
”,
Engineering Structures
, Vol.
196
, p.
2
, doi: .
Qaidi
,
S.M.
,
Mohammed
,
A.S.
,
Ahmed
,
H.U.
,
Faraj
,
R.H.
,
Emad
,
W.
,
Tayeh
,
B.A.
,
Althoey
,
F.
,
Zaid
,
O.
and
Sor
,
N.H.
(
2022
), “
Rubberized geopolymer composites: a comprehensive review
”,
Ceramics International
, Vol.
48
No.
17
, pp.
24234
-
24259
, doi: .
Qazi
,
A.
and
Al-Mhdawi
,
M.K.S.
(
2023
), “
Exploring dependencies among global environmental, socioeconomic, and technological risks
”,
Environmental Impact Assessment Review
, Vol.
98
, p.
106912
, doi: .
Qi
,
X.J.
,
Tang
,
L.
,
Kang
,
W.X.
and
Qin
,
J.J.
(
2020
), “
Multi-objective decision-making method for bridge deck maintenance scheme for highway
”,
Journal of Northeastern University (Natural Science)
, Vol.
41
No.
7
, p.
1033
, doi: .
RAC Foundation
(
2017
), “
More than 3,000 GB road bridges are substandard
”,
March 10, 2017
.
Rakoczy
,
A.M.
,
Ribeiro
,
D.
,
Hoskere
,
V.
,
Narazaki
,
Y.
,
Olaszek
,
P.
,
Karwowski
,
W.
,
Cabral
,
R.
,
Guo
,
Y.
,
Futai
,
M.M.
,
Milillo
,
P.
and
Santos
,
R.
(
2024
), “
Technologies and platforms for remote and autonomous bridge inspection – review
”,
Structural Engineering International
, Vol.
35
No.
3
, pp.
1
-
23
, doi: .
Roy
,
T.
and
Matsagar
,
V.
(
2023
), “
Multi-hazard analysis and design of structures: status and research trends
”,
Structure and Infrastructure Engineering
, Vol.
19
No.
6
, pp.
845
-
874
, doi: .
Sasidharan
,
M.
,
Parlikad
,
A.K.
and
Schooling
,
J.
(
2022
), “
Risk-informed asset management to tackle scouring on bridges across transport networks
”,
Structure and Infrastructure Engineering
, Vol.
18
No.
9
, pp.
1300
-
1316
, doi: .
Saylan
,
A.A.
and
Seçer
,
M.
(
2024
), “
Structural frequency-based maintenance management method for steel truss bridges under atmospheric corrosion
”,
Structure and Infrastructure Engineering
, pp.
1
-
16
, doi: .
Schooling
,
J.
,
Geddes
,
R.
,
Frawley
,
D.D.
,
Mair
,
R.J.
,
O’Rourke
,
T.D.
,
Powrie
,
W.
,
Soga
,
K.
and
Threlfall
,
R.
(
2023
),
The Role of Funding, Financing and Emerging Technologies in Delivering and Managing Infrastructure for the 21st Century
,
University of Cambridge
,
Cambridge
, doi: .
Scozzese
,
F.
,
Tubaldi
,
E.
and
Dall’Asta
,
A.
(
2023
), “
Damage metrics for masonry bridges under scour scenarios
”,
Engineering Structures
, Vol.
296
, p.
116914
, doi: .
Shi
,
J.
,
Song
,
L.
,
Cui
,
C.
and
Yu
,
Z.
(
2023
), “
Fatigue reliability assessment of RC beams in heavy-haul railways based on point estimate method
”,
Materials
, Vol.
16
No.
22
, p.
7098
, doi: .
Shivanna
,
K.R.
(
2022
), “
Climate change and its impact on biodiversity and human welfare
”,
Proceedings of the Indian National Science Academy
, Vol.
88
No.
2
, pp.
160
-
171
, doi: .
Sky News
(
2022
), “
Britain’s substandard bridges: where are they and why are their numbers on the rise?
”,
25/03
,
available at:
Link to Britain’s substandard bridges: where are they and why are their numbers on the rise?Link to the cited article. (
accessed
8 December 2023).
Topham
,
G.
(
2022
), “
More than 3,200 UK bridges need repair, local authorities say
”,
The Guardian, 25 March
,
available at:
Link to More than 3,200 UK bridges need repair, local authorities sayLink to the cited article. (
accessed
20 February 2025).
Torti
,
M.
,
Sacconi
,
S.
,
Venanzi
,
I.
and
Ubertini
,
F.
(
2022
), “
Monitoring-informed life-cycle cost analysis of deteriorating RC bridges under repeated earthquake loading
”,
Journal of Structural Engineering
, Vol.
148
No.
9
, p.
4022145
, doi: .
Tubaldi
,
E.
,
White
,
C.J.
,
Patelli
,
E.
,
Mitoulis
,
S.A.
,
de Almeida
,
G.
,
Brown
,
J.
,
Cranston
,
M.
,
Hardman
,
M.
,
Koursari
,
E.
,
Lamb
,
R.
,
McDonald
,
H.
,
Mathews
,
R.
,
Newell
,
R.
,
Pizarro
,
A.
,
Roca
,
M.
and
Zonta
,
D.
(
2022
), “
Invited perspectives: challenges and future directions in improving bridge flood resilience
”,
Natural Hazards and Earth System Sciences
, Vol.
22
No.
3
, pp.
795
-
812
, doi: .
UK Government
(
2022
), “
UK climate change risk assessment 2022
”,
available at:
Link to UK climate change risk assessment 2022Link to the cited article. (
accessed
6 February 2024).
Vickers
,
N.
(
2025
), “
Hammersmith bridge 'could stay closed until 2035
”,
BBC News, January 2025
,
available at:
Link to Hammersmith bridge 'could stay closed until 2035Link to the cited article. (
accessed
20 February 2025).
Wang
,
H.
,
Bin-Bin
,
W.
,
Cui
,
P.
,
Yao-Ming
,
M.
,
Wang
,
Y.
,
Jian-Sheng
,
H.
,
Wang
,
Y.
,
Ya-Mei
,
L.
,
Li-Jun
,
S.
,
Wang
,
J.
and
Guo-Tao
,
Z.
(
2024
), “
Disaster effects of climate change in high-Mountain Asia: state of art and scientific challenges
”,
Advances in Climate Change Research
, Vol.
15
No.
3
, pp.
367
-
389
, doi: .
Wilkie
,
S.
and
Dyer
,
T.
(
2022
), “
Design and durability of early 20th century concrete bridges in Scotland: a review of historic test data
”,
International Journal of Architectural Heritage
, Vol.
16
No.
8
, pp.
1131
-
1151
, doi: .
Wilson
,
G.
,
Wilson
,
T.M.
,
Deligne
,
N.I.
and
Cole
,
J.W.
(
2014
), “
Volcanic hazard impacts to critical infrastructure: a review
”,
Journal of Volcanology and Geothermal Research
, Vol.
286
, pp.
148
-
182
, doi: .
Wu
,
C.
,
Wu
,
P.
,
Wang
,
J.
,
Jiang
,
R.
,
Chen
,
M.
and
Wang
,
X.
(
2021
), “
Critical review of data-driven decision-making in bridge operation and maintenance
”,
Structure and Infrastructure Engineering
, Vol.
18
No.
1
, pp.
47
-
70
, doi: .
Xiong
,
W.
,
Cai
,
C.S.
,
Zhang
,
R.
,
Shi
,
H.
and
Xu
,
C.
(
2023
), “
Review of hydraulic bridge failures: historical statistic analysis, failure modes, and prediction methods
”,
Journal of Bridge Engineering
, Vol.
28
No.
4
, p.
3123001
, doi: .
Xu
,
J.G.
,
Cai
,
Z.K.
and
Feng
,
D.C.
(
2021
), “
Life-cycle seismic performance assessment of aging RC bridges considering multi-failure modes of bridge columns
”,
Engineering Structures
, Vol.
244
, p.
112818
, doi: .
Xu
,
Y.
,
Xu
,
G.
,
Xue
,
S.
,
Wang
,
J.
and
Li
,
Y.
(
2022
), “
Failure mechanism and vulnerability assessment of coastal box-girder bridge with laminated rubber bearings under extreme waves
”,
Ocean Engineering
, Vol.
266
, p.
112834
, doi: .
Yang
,
D.Y.
and
Frangopol
,
D.M.
(
2020
), “
Life-cycle management of deteriorating bridge networks with network-level risk bounds and system reliability analysis
”,
Structural Safety
, Vol.
83
, p.
101911
, doi: .
Zhang
,
R.
,
Sheng
,
X.
and
Fan
,
W.
(
2024
), “
Probabilistic assessment of seismic earth pressure against backfills with a nonlinear failure criterion
”,
Soil Dynamics and Earthquake Engineering
, Vol.
177
, p.
108341
, doi: .
Afsar Dizaj
,
E.
,
Salami
,
M.R.
and
Kashani
,
M.M.
(
2022
), “
Seismic vulnerability assessment of ageing reinforced concrete structures under real mainshock-aftershock ground motions
”,
Structure and Infrastructure Engineering
, Vol.
18
No.
12
, pp.
1674
-
1690
, doi: .
Akiyama
,
M.
,
Frangopol
,
D.M.
and
Ishibashi
,
H.
(
2020
), “
Toward life-cycle reliability-, risk- and resilience-based design and assessment of bridges and bridge networks under independent and interacting hazards: Emphasis on earthquake, tsunami and corrosion
”,
Structure and Infrastructure Engineering
, Vol.
16
No.
1
, pp.
26
-
50
, doi: .
Alves
,
V.
,
Cury
,
A.
,
Roitman
,
N.
,
Magluta
,
C.
and
Cremona
,
C.
(
2015
), “
Structural modification assessment using supervised learning methods applied to vibration data
”,
Engineering Structures
, Vol.
99
, pp.
439
-
448
, doi: .
Argyroudis
,
S.A.
and
Mitoulis
,
S.A.
(
2021
), “
Vulnerability of bridges to individual and multiple hazards—floods and earthquakes
”,
Reliability Engineering and System Safety
, Vol.
210
, p.
107564
, doi: .
Argyroudis
,
S.A.
,
Mitoulis
,
S.A.
,
Chatzi
,
E.
,
Baker
,
J.W.
,
Brilakis
,
I.
,
Gkoumas
,
K.
,
Vousdoukas
,
M.
,
Hynes
,
W.
,
Carluccio
,
S.
,
Keou
,
O.
and
Frangopol
,
D.M.
(
2022
), “
Digital technologies can enhance climate resilience of critical infrastructure
”,
Climate Risk Management
, Vol.
35
, p.
100387
.
Aşıkoğlu
,
A.
and
Avşar
,
Ö.
(
2023
), “
Investigation of drift-based damage limit states for historical masonry structures
”,
International Journal of Architectural Heritage
, Vol.
17
No.
9
, pp.
1571
-
1589
, doi: .
Avşar
,
Ö.
,
Atak
,
B.
and
Caner
,
A.
(
2017
), “
In-depth investigation of seismic vulnerability of an aging river bridge exposed to scour
”,
Journal of Performance of Constructed Facilities
, Vol.
31
No.
5
, p.
4017044
, doi: .
Balomenos
,
G.P.
,
Kameshwar
,
S.
and
Padgett
,
J.E.
(
2020
), “
Parameterized fragility models for multi-bridge classes subjected to hurricane loads
”,
Engineering Structures
, Vol.
208
, p.
110213
, doi: .
Barone
,
G.
,
Frangopol
,
D.M.
and
Soliman
,
M.
(
2014
), “
Optimization of life-cycle maintenance of deteriorating bridges with respect to expected annual system failure rate and expected cumulative cost
”,
Journal of Structural Engineering
, Vol.
140
No.
2
, p.
4013043
, doi: .
Ellenberg
,
A.
,
Kontsos
,
A.
,
Moon
,
F.
and
Bartoli
,
I.
(
2016
), “
Bridge deck delamination identification from unmanned aerial vehicle infrared imagery
”,
Automation in Construction
, Vol.
72
, pp.
155
-
165
, doi: .
Fan
,
B.H.
,
Wang
,
S.G.
,
Chen
,
B.C.
,
Chao
,
P.F.
and
Sun
,
Q.
(
2023
), “
Robustness-based condition evaluation framework for through tied-arch bridge
”,
Journal of Performance of Constructed Facilities
, Vol.
37
No.
2
, p.
6023001
, doi: .
Flint
,
M.M.
,
Fringer
,
O.
,
Billington
,
S.L.
,
Freyberg
,
D.
and
Diffenbaugh
,
N.S.
(
2017
), “
Historical analysis of hydraulic bridge collapses in the continental United States
”,
Journal of Infrastructure Systems
, Vol.
23
No.
3
, p.
4017005
, doi: .
Fourie
,
J.
(
2006
), “
Economic infrastructure: a review of definitions, theory and empirics
”,
South African Journal of Economics
, Vol.
74
No.
3
, pp.
530
-
556
, doi: .
Franchin
,
P.
,
Baltzopoulos
,
G.
,
Biondini
,
F.
,
Callisto
,
L.
,
Capacci
,
L.
,
Carbonari
,
S.
,
Cardone
,
D.
,
Dall’Asta
,
A.
,
Flora
,
A.
,
Gorini
,
D.N.
and
Marchi
,
A.
(
2023
), “
Seismic reliability of Italian code‐conforming bridges
”,
Earthquake Engineering and Structural Dynamics
, Vol.
52
No.
14
, pp.
4442
-
4465
, doi: .
Frangopol
,
D.M.
,
Dong
,
Y.
and
Sabatino
,
S.
(
2019
), “Bridge life-cycle performance and cost: analysis, prediction, optimisation and decision-making”,
Structures and Infrastructure Systems
,
Routledge
, pp.
66
-
84
.
Gao
,
R.
and
He
,
J.
(
2022
), “
Seismic performance assessment of concrete bridges with traffic-induced fatigue damage
”,
Engineering Failure Analysis
, Vol.
134
, p.
106042
, doi: .
Gardner
,
M.
(
2023
), “
Toward a complete kinematic description of hydraulic plucking of fractured rock
”,
Journal of Hydraulic Engineering
, Vol.
149
No.
7
, p.
4023015
, doi: .
Ishibashi
,
H.
,
Akiyama
,
M.
,
Frangopol
,
D.M.
,
Koshimura
,
S.
,
Kojima
,
T.
and
Nanami
,
K.
(
2020
), “
Framework for estimating the risk and resilience of road networks with bridges and embankments under both seismic and tsunami hazards
”,
Structure and Infrastructure Engineering
, Vol.
17
No.
4
, pp.
494
-
514
, doi: .
Kagermanov
,
A.
and
Markovic
,
I.
(
2023
), “
An overview on finite element-modelling techniques for structural capacity assessment of corroded reinforced concrete structures
”,
Structure and Infrastructure Engineering
, Vol.
19
No.
11
, pp.
1585
-
1599
, doi: .
Kameshwar
,
S.
and
Padgett
,
J.E.
(
2018
), “
Parameterized fragility assessment of bridges subjected to pier scour and vehicular loads
”,
Journal of Bridge Engineering
, Vol.
23
No.
7
, p.
4018044
, doi: .
Karimaei Tabarestani
,
M.
,
Salamatian
,
A.
and
Panahi Azad
,
M.
(
2022
), “
Component and system-level reliability analysis of riprap layer around bridge pier in clear water condition
”,
ISH Journal of Hydraulic Engineering
, Vol.
28
No.
sup1
, pp.
131
-
140
, doi: .
Khan
,
M.A.
(
2015
), “Chapter 10 - alternative ABC methods and funding justification”, in
Khan
,
M.A.
(Ed.),
Accelerated Bridge Construction
,
Butterworth-Heinemann
,
Boston
, pp.
443
-
488
,
available at:
Link to Chapter 10 - alternative ABC methods and funding justificationLink to the cited article. (
accessed
19 October 2024).
Khandel
,
O.
and
Soliman
,
M.
(
2019
), “
Integrated framework for quantifying the effect of climate change on the risk of bridge failure due to floods and flood-induced scour
”,
Journal of Bridge Engineering
, Vol.
24
No.
9
, p.
4019090
, doi: .
Khandel
,
O.
and
Soliman
,
M.
(
2021
), “
Integrated framework for assessment of time-variant flood fragility of bridges using deep learning neural networks
”,
Journal of Infrastructure Systems
, Vol.
27
No.
1
, p.
4020045
, doi: .
Kurino
,
S.
,
Wei
,
W.
and
Igarashi
,
A.
(
2021
), “
Seismic fragility and uncertainty mitigation of cable restrainer retrofit for isolated highway bridges incorporated with deteriorated elastomeric bearings
”,
Engineering Structures
, Vol.
237
, p.
112190
, doi: .
Lee Kelly
,
A.
,
Atadero
,
R.A.
and
Mahmoud
,
H.N.
(
2019
), “
Life cycle cost analysis of deteriorated bridge expansion joints
”,
Practice Periodical on Structural Design and Construction
, Vol.
24
No.
1
, p.
4018033
, doi: .
Liang
,
T.C.
,
Wu
,
P.T.
and
Huang
,
H.S.
(
2021
), “
Design a bridge scour monitoring system by pressing the fiber Bragg grating with a rolling pulley mechanism
”,
Microsystem Technologies
, Vol.
27
No.
4
, pp.
1211
-
1216
, doi: .
Liu
,
L.
,
Frangopol
,
D.M.
,
Mondoro
,
A.
and
Yang
,
D.Y.
(
2018
), “
Sustainability-informed bridge ranking under scour based on transportation network performance and multiattribute utility
”,
Journal of Bridge Engineering
, Vol.
23
No.
10
, p.
4018082
, doi: .
López
,
S.
,
Makoond
,
N.
,
Sánchez-Rodríguez
,
A.
,
Adam
,
J.M.
and
Riveiro
,
B.
(
2023
), “
Learning from failure propagation in steel truss bridges
”,
Engineering Failure Analysis
, Vol.
152
, p.
107488
, doi: .
Lv
,
C.
,
Yan
,
Q.
,
Li
,
L.
and
Li
,
S.
(
2023
), “
Field test and probabilistic vulnerability assessment of a reinforced concrete bridge pier subjected to blast loads
”,
Engineering Failure Analysis
, Vol.
143
, p.
106802
, doi: .
Mangalathu
,
S.
and
Jeon
,
J.S.
(
2020
), “
Regional seismic risk assessment of infrastructure systems through machine learning: active learning approach
”,
Journal of Structural Engineering
, Vol.
146
No.
12
, p.
4020269
, doi: .
Mata
,
J.
,
Santos
,
J.
and
Barateiro
,
J.
(
2021
), “Using emergent technologies on the structural health monitoring and control of critical infrastructures”,
Industry 4.0 for the Built Environment: Methodologies, Technologies and Skills
,
Springer
, pp.
541
-
567
.
Medina-Cetina
,
Z.
,
Yousefpour
,
N.
and
Briaud
,
J.L.
(
2020
), “
Probabilistic evaluation of unknown foundations for scour susceptible bridges
”,
Journal of Bridge Engineering
, Vol.
25
No.
10
, p.
4020074
, doi: .
Montalvo
,
C.
,
Cook
,
W.
and
Keeney
,
T.
(
2020
), “
Retrospective analysis of hydraulic bridge collapse
”,
Journal of Performance of Constructed Facilities
, Vol.
34
No.
1
, p.
4019111
, doi: .
Monteiro
,
R.
(
2016
), “
Sampling based numerical seismic assessment of continuous span RC bridges
”,
Engineering Structures
, Vol.
118
, pp.
407
-
420
, doi: .
Musson
,
R.M.W.
(
2003
), “
Fatalities in British earthquakes
”,
Astronomy and Geophysics
, Vol.
44
No.
1
, pp.
14
-
16
, doi: .
Nataraj
,
S.
,
Hogan
,
L.
,
Scott
,
A.
and
Ingham
,
J.
(
2022
), “
Simplified mechanics-based approach for the seismic assessment of corroded reinforced concrete structures
”,
Journal of Structural Engineering
, Vol.
148
No.
3
, p.
4021296
, doi: .
National Highways
(
2023
a), “
Road bridge database under highways England (22568926) (FOI/4975)
”,
available at:
Link to Road bridge database under highways England (22568926) (FOI/4975)Link to the cited article. (
accessed
2 January 2024).
National Highways
(
2023
b), “
Strategic road network initial report
”,
available at:
Link to Strategic road network initial reportLink to the cited article. (
accessed
2 January 2024).
Ni
,
P.
,
Yuan
,
Z.
,
Han
,
Q.
,
Du
,
X.
and
Fu
,
J.
(
2023
), “
Reliability assessment of civil structures with incomplete probability distribution information
”,
Probabilistic Engineering Mechanics
, Vol.
74
, p.
103541
, doi: .
Nie
,
Y.
,
Li
,
J.
,
Liu
,
G.
and
Zhou
,
P.
(
2023
), “
Cascading failure-based reliability assessment for post-seismic performance of highway bridge network
”,
Reliability Engineering and System Safety
, Vol.
238
, p.
109457
, doi: .
North Somerset Council
(
2020
), “
Highways development design guide
”,
available at:
Link to Highways development design guideLink to the cited article. (
accessed
29 January 2024).
Nuti
,
C.
,
Briseghella
,
B.
,
Chen
,
A.
,
Lavorato
,
D.
,
Iori
,
T.
and
Vanzi
,
I.
(
2020
), “
Relevant outcomes from the history of Polcevera Viaduct in Genova, from design to nowadays failure
”,
Journal of Civil Structural Health Monitoring
, Vol.
10
No.
1
, pp.
87
-
107
, doi: .
Omar
,
T.
and
Nehdi
,
M.L.
(
2018
), “
Condition assessment of reinforced concrete bridges: current practice and research challenges
”,
Infrastructures
, Vol.
3
No.
3
, p.
36
, doi: .
Omranian
,
E.
,
Abdelnaby
,
A.E.
and
Abdollahzadeh
,
G.
(
2018
), “
Seismic vulnerability assessment of RC skew bridges subjected to mainshock-aftershock sequences
”,
Soil Dynamics and Earthquake Engineering
, Vol.
114
, pp.
186
-
197
, doi: .
Oppong
,
K.
,
Saini
,
D.
and
Shafei
,
B.
(
2020
), “
Vulnerability assessment of bridge piers damaged in barge collision to subsequent hurricane events
”,
Journal of Bridge Engineering
, Vol.
25
No.
8
, p.
4020051
, doi: .
Pan
,
S.
,
Yan
,
H.
,
He
,
J.
and
He
,
Z.
(
2021
), “
Vulnerability and resilience of transportation systems: a recent literature review
”,
Physica A: Statistical Mechanics and Its Applications
, Vol.
581
, p.
126235
.
Pardal
,
J.M.
,
Gripp
,
I.
,
Tavares
,
S.S.M.
,
Cardoso
,
A.S.M.
,
Pereira
,
A.M.
,
da Cunha
,
R.C.
and
Barbosa
,
C.
(
2020
), “
Failure characterization of a structural welded component of an ancient bridge
”,
Engineering Failure Analysis
, Vol.
116
, p.
104751
, doi: .
Peng
,
H.D.
,
Liu
,
D.W.
,
Dai
,
B.
,
Zeng
,
S.S.
and
Chu
,
F.J.
(
2018
), “
Experimental research on load-shear performance of interface between new and old concrete with corroded planting bar
”,
Chinese Journal of Engineering
, Vol.
40
No.
1
, pp.
23
-
30
, doi: .
Pregnolato
,
M.
,
Giordano
,
P.F.
,
Prendergast
,
L.J.
,
Vardanega
,
P.J.
and
Limongelli
,
M.P.
(
2023
), “
Comparison of risk-based methods for bridge scour management
”,
Sustainable and Resilient Infrastructure
, Vol.
8
No.
5
, pp.
514
-
531
, doi: .
Prendergast
,
L.J.
,
Limongelli
,
M.P.
,
Ademovic
,
N.
,
Anžlin
,
A.
,
Gavin
,
K.
and
Zanini
,
M.
(
2018
), “
Structural health monitoring for performance assessment of bridges under flooding and seismic actions
”,
Structural Engineering International
, Vol.
28
No.
3
, pp.
296
-
307
, doi: .
Pugliese
,
F.
,
De Risi
,
R.
and
Di Sarno
,
L.
(
2022
), “
Reliability assessment of existing RC bridges with spatially-variable pitting corrosion subjected to increasing traffic demand
”,
Reliability Engineering and System Safety
, Vol.
218
, p.
108137
, doi: .
Ricci
,
P.
,
Di Domenico
,
M.
and
Verderame
,
G.M.
(
2023
), “
Behaviour factor and seismic safety of reinforced concrete structures designed according to Eurocodes
”,
Structures
, Vol.
55
, pp.
677
-
689
, doi: .
Sabatino
,
S.
,
Frangopol
,
D.M.
and
Dong
,
Y.
(
2015
), “
Sustainability-informed maintenance optimization of highway bridges considering multi-attribute utility and risk attitude
”,
Engineering Structures
, Vol.
102
, pp.
310
-
321
, doi: .
Saeidpour
,
A.
,
Chorzepa
,
M.G.
,
Christian
,
J.
and
Durham
,
S.
(
2018
), “
Parameterized fragility assessment of bridges subjected to hurricane events using metamodels and multiple environmental parameters
”,
Journal of Infrastructure Systems
, Vol.
24
No.
4
, p.
4018031
, doi: .
Salamak
,
M.
and
Fross
,
K.
(
2016
), “
Bridges in urban planning and architectural culture
”,
Procedia Engineering
, Vol.
161
, pp.
207
-
212
, doi: .
Salamatian
,
S.A.
and
Zarrati
,
A.R.
(
2021
), “
Reliability study on uncertainty parameters and flood duration on scouring around unprotected and protected bridge piers
”,
ISH Journal of Hydraulic Engineering
, Vol.
27
No.
sup1
, pp.
11
-
19
, doi: .
Saravanan
,
G.
and
Jeyasehar
,
C.A.
(
2024
), “
A study of durability parameters on fly ash based geopolymer concrete using electrical analyser
”,
Journal of Structural Engineering
, Vol.
45
No.
4
, pp.
359
-
366
,
available at:
Link to A study of durability parameters on fly ash based geopolymer concrete using electrical analyserLink to the cited article.
Shear
,
M.
,
Mazzei
,
P.
and
Bogel-Burroughs
,
N.
(
2024
), “
Coast guard ends search for 6 missing in bridge disaster
”,
The New York Times, 01/04
,
available at:
Link to Coast guard ends search for 6 missing in bridge disasterLink to the cited article. (
accessed
14 April 2024).
Shekhar
,
S.
and
Ghosh
,
J.
(
2021
), “
Improved component-level deterioration modeling and capacity estimation for seismic fragility assessment of highway bridges
”,
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
, Vol.
7
No.
4
, p.
4021053
, doi: .
Shekhar
,
S.
,
Ghosh
,
J.
and
Ghosh
,
S.
(
2020
), “
Impact of design code evolution on failure mechanism and seismic fragility of highway bridge piers
”,
Journal of Bridge Engineering
, Vol.
25
No.
2
, p.
4019140
, doi: .
Short
,
J.R.
(
2021
), “Hurricane Katrina, infrastructure deficit and the costs of climate change”,
Stress Testing the USA
,
Palgrave Macmillan
,
Cham
, doi: .
Sky News
(
2023
), “
16 construction workers killed in India as crane collapses while new bridge is built
”,
01/08
,
available at:
Link to 16 construction workers killed in India as crane collapses while new bridge is builtLink to the cited article. (
accessed
14 April 2024).
Sustrans
(
2023
), “
Why are cars getting bigger? A deep dive into how UK regulations are enabling car size growth
”,
available at:
Link to Why are cars getting bigger? A deep dive into how UK regulations are enabling car size growthLink to the cited article.
Tanasić
,
N.
and
Hajdin
,
R.
(
2018
), “
Management of bridges with shallow foundations exposed to local scour
”,
Structure and Infrastructure Engineering
, Vol.
14
No.
4
, pp.
468
-
476
, doi: .
Tang
,
M.
(
2015
), “
The art of arches
”,
Structure and Infrastructure Engineering
, Vol.
11
No.
4
, pp.
443
-
449
, doi: .
Tang
,
D.
and
Huang
,
M.
(
2024
), “
The sustainable development of bridges in China: collapse cause analysis, existing management dilemmas and potential solutions
”,
Buildings
, Vol.
14
No.
2
, p.
419
.
Tees Valley Audit and Assurance Services
(
2019
), “
Transporter bridge – whistleblowing
”,
available at:
Link to Transporter bridge – whistleblowingLink to the cited article. (
accessed
5 February 2024).
Thurlby
,
R.
(
2013
), “
Managing the asset time bomb: a system dynamics approach
”,
Proceedings of the Institution of Civil Engineers - Forensic Engineering
, Vol.
166
No.
3
, pp.
134
-
142
, doi: .
Thurlby
,
R.
and
Rimell
,
J.
(
2015
), “
Discussion: managing the asset time bomb: a systems dynamics approach
”,
Proceedings of the Institution of Civil Engineers - Forensic Engineering
, Vol.
168
No.
4
, pp.
181
-
182
, doi: .
Torrisi
,
G.
(
2009
), “
Public infrastructure: definition, classification and measurement issues
”,
Economics, Management, and Financial Markets
, Vol.
4
No.
3
, pp.
100
-
124
.
Turchetti
,
F.
,
Tubaldi
,
E.
,
Douglas
,
J.
,
Zanini
,
M.A.
and
Dall’Asta
,
A.
(
2023
), “
A risk-targeted approach for the seismic design of bridge piers
”,
Bulletin of Earthquake Engineering
, Vol.
21
No.
10
, pp.
4923
-
4950
, doi: .
Vatteri
,
A.P.
,
Balaji Rao
,
K.
and
Bharathan
,
A.M.
(
2016
), “
Time‐variant reliability analysis of RC bridge girders subjected to corrosion–shear limit state
”,
Structural Concrete
, Vol.
17
No.
2
, pp.
162
-
174
.
Wirkijowski
,
D.
and
Moon
,
F.L.
(
2020
), “
Identifying characteristics of bridges vulnerable to hydraulic hazards using bridge failure data
”,
Journal of Performance of Constructed Facilities
, Vol.
34
No.
6
, p.
4020109
, doi: .
Wu
,
T.R.
,
Wang
,
H.
,
Ko
,
Y.Y.
,
Chiou
,
J.S.
,
Hsieh
,
S.C.
,
Chen
,
C.H.
,
Lin
,
C.
,
Wang
,
C.Y.
and
Chuang
,
M.H.
(
2014
), “
Forensic diagnosis on flood-induced bridge failure. II: framework of quantitative assessment
”,
Journal of Performance of Constructed Facilities
, Vol.
28
No.
1
, pp.
85
-
95
, doi: .
Xu
,
B.
,
Wang
,
X.
,
Yang
,
C.S.W.
and
Li
,
Y.
(
2024
), “
Machine learning–aided rapid estimation of multilevel capacity of flexure-identified circular concrete bridge columns with corroded reinforcement
”,
Journal of Structural Engineering
, Vol.
150
No.
3
, p.
4024002
, doi: .
Xu
,
S.H.
,
Zhang
,
Z.X.
,
Li
,
R.
and
Wei
,
L.H.
(
2018
), “
A method for the seismic vulnerability assessment of corroded steel structures
”,
Engineering Mechanics
, Vol.
35
No.
12
, pp.
107
-
115
, doi: .
Yan
,
B.
,
Ma
,
X.
,
Yang
,
L.
,
Wang
,
H.
and
Wu
,
T.
(
2020
), “
A novel degradation-rate-volatility related effect Wiener process model with its extension to accelerated ageing data analysis
”,
Reliability Engineering and System Safety
, Vol.
204
, p.
107138
, doi: .
Ye
,
C.
,
Kuok
,
S.C.
,
Butler
,
L.J.
and
Middleton
,
C.R.
(
2022
), “
Implementing bridge model updating for operation and maintenance purposes: examination based on UK practitioners’ views
”,
Structure and Infrastructure Engineering
, Vol.
18
No.
12
, pp.
1638
-
1657
, doi: .
Ye
,
X.W.
,
Jin
,
T.
,
Que
,
W.M.
and
Ma
,
S.Y.
(
2023
), “
Computer vision and deep learning-based post-earthquake intelligent assessment of engineering structures: technological status and challenges
”,
Smart Structures and Systems: An International Journal
, Vol.
31
No.
4
, pp.
311
-
323
.
You
,
X.
and
Taylor
,
L.
(
2018
), “
The development of the railway network in Britain 1825-1911
”,
available at:
Link to The development of the railway network in Britain 1825-1911Link to the cited article.
Zanini
,
M.A.
,
Faleschini
,
F.
and
Pellegrino
,
C.
(
2017
), “
Bridge residual service-life prediction through Bayesian visual inspection and data updating
”,
Structure and Infrastructure Engineering
, Vol.
13
No.
7
, pp.
906
-
917
, doi: .
Zhang
,
C.
,
Chun
,
Q.
,
Lin
,
Y.
,
Han
,
Y.
and
Jia
,
X.
(
2021
), “
Quantitative assessment method of structural safety for complex timber structures with decay diseases
”,
Journal of Building Engineering
, Vol.
44
, p.
103355
, doi: .
Zhao
,
W.C.
and
Qian
,
J.
(
2019
), “
Performance of reinforced concrete pier columns subjected to lateral impact
”,
Chinese Journal of Engineering
, Vol.
41
No.
3
, pp.
408
-
415
, doi: .
Zhou
,
J.
,
Hu
,
C.
,
Zhang
,
J.
,
Li
,
T.
and
Yang
,
M.
(
2023
), “
Reliability assessment of existing concrete bridges under the passage of heavy trucks considering bending–shear interaction
”,
Structure and Infrastructure Engineering
, Vol.
19
No.
10
, pp.
1349
-
1365
, doi: .
Zhu
,
B.
and
Frangopol
,
D.M.
(
2016
), “
Time-dependent risk assessment of bridges based on cumulative-time failure probability
”,
Journal of Bridge Engineering
, Vol.
21
No.
12
, p.
6016009
, doi: .
Table A1.

Summary of the analysed articles

IDYearCountryArticle nameAuthor(s)
12024USAMachine Learning-Aided Rapid Estimation of Multilevel Capacity of Flexure-Identified Circular Concrete Bridge Columns with Corroded ReinforcementXu, B., Wang, X., Yang, C.-S.W. and Li, Y.
92024Singapore and ChinaProbabilistic assessment of seismic earth pressure against backfills with a nonlinear failure criterionZhang, R., Sheng, X. and Fan, W.
102024Hong Kong and FranceMixed Bayesian Network for reliability assessment of RC structures subjected to environmental actionsGuo, H., Dong, Y. and Bastidas-Arteaga, E.
22023USAToward a Complete Kinematic Description of Hydraulic Plucking of Fractured RockGardner, M.
32023ChinaComputer vision and deep learning-based post-earthquake intelligent assessment of engineering structures: Technological status and challengesJin, T., Ye, X.W., Que, W.M. and Ma, S.Y.
42023UK and ItalyA risk-targeted approach for the seismic design of bridge piersTurchetti, F., Tubaldi, E., Douglas, J., Zanini, M.A. and Dallâ Asta, A.
52023China and UKReliability assessment of civil structures with incomplete probability distribution informationNi, P., Yuan, Z., Han, Q., Du, X. and Fu, J.
62023Italy and UKDamage metrics for masonry bridges under scour scenariosScozzese, F., Tubaldi, E. and Dal’’Asta, A.
72023China and GermanyCascading failure-based reliability assessment for post-seismic performance of highway bridge networkNie, Y., Li, J., Liu, G. and Zhou, P.
82023Slovenia and UKAnalysis of the response of a roadway bridge under extreme flooding-related events: Scour and debris-loadingKosi, M., Prendergast, L.J. and Anlin, A.
112023ItalySeismic reliability of Italian code-conforming bridgesFranchin, P., Baltzopoulos, G., Biondini, F., Callisto, L., Capacci, L., Carbonari, S., Cardone, D., Dal’’Asta, A., Flora, A., Gorini, D.N., Marchi, A., Noto, F., Perrone, G. and Iervolino, I.
122023ItalyBehaviour factor and seismic safety of reinforced concrete structures designed according to EurocodesRicci, P., Di Domenico, M. and Verderame, G.M.
132023IndiaForecasting Remaining Usable Life of Vehicle Bearings for Enhanced Production and Reduced Maintenance CostsPittala, R.K., Diwakar, G., Harshavardhan, V.L.N., Charan, T.B.S.S., Alisha, M.A. and Naik, K.K.
142023ChinaRobustness-Based Condition Evaluation Framework for Through Tied-Arch BridgeFan, B.-H., Wang, S.-G., Chen, B.-C., Chao, P.-F. and Sun, Q.
152023ItalyAssessment and strengthening of reinforced concrete bridges with half-joint deteriorationGranata, M.F., La Mendola, L., Messina, D. and Recupero, A.
172023Italy and UKComparison of risk-based methods for bridge scour managementPregnolato, M., Giordano, P.F., Prendergast, L.J., Vardanega, P.J. and Limongelli, M.P.
192023Portugal and TurkeyInvestigation of Drift-based Damage Limit States for Historical Masonry StructuresAşıkoğlu, A. and Avşar, Ö.
202023ItalyBridge Structural Reliability for Maintenance PrioritisationPoli, F., Brighenti, F., Bado, M.F. and Zonta, D.
252023ChinaFatigue reliability analysis of RC beams in heavy-haul railways based on direct probability integral methodGao, T., Li, Z., Zhang, J., Song, L., Cui, C. and Yu, Z.
262023SwitzerlandAn overview on finite element-modelling techniques for structural capacity assessment of corroded reinforced concrete structuresKagermanov, A. and Markovic, I.
272023NorwayCorrosion-induced damages and failures of posttensioned bridges: a literature reviewMenga, A., Kanstad, T., Cantero, D., Bathen, L., Hornbostel, K. and Klausen, A.
302023ChinaField test and probabilistic vulnerability assessment of a reinforced concrete bridge pier subjected to blast loadsLv, C., Yan, Q., Li, L. and Li, S.
312023China and ItalySimulation-based seismic risk and robustness assessment of ageing bridge networksLu, T., Capacci, L., Anghileri, M., Bianchi, S., Luo, D. and Biondini, F.
322023ChinaReliability assessment of existing concrete bridges under the passage of heavy trucks considering bending shear interactionZhou, J., Hu, C., Zhang, J., Li, T. and Yang, M.
162022ChinaDevelopment of a modified low-cycle fatigue model for semi-rigid connections in precast concrete framesDu, B., Jiang, W., He, Z., Qi, Z. and Zhang, C.
182022ItalyMonitoring-Informed Life-Cycle Cost Analysis of Deteriorating RC Bridges under Repeated Earthquake LoadingTorti, M., Sacconi, S., Venanzi, I. and Ubertini, F.
212022South Korea, China and USAProbabilistic Optimum Bridge System Maintenance Management Considering Correlations of Deteriorating Components and Service Life ExtensionsKim, S., Ge, B. and Frangopol, D.M.
222022ChinaMulticategory damage detection and safety assessment of post-earthquake reinforced concrete structures using deep learningZou, D., Zhang, M., Bai, Z., Liu, T., Zhou, A., Wang, X., Cui, W. and Zhang, S.
232022ChinaLife-cycle maintenance strategy of bridges considering reliability, environment, cost, and failure probability CO2 emission reduction: A bridge study with climate scenariosLiu, Y., Pang, B., Wang, Y., Shi, C., Zhang, B., Guo, X., Zhou, S. and Wang, J.
242022ChinaSeismic performance assessment of concrete bridges with traffic-induced fatigue damageGao, R. and He, J.
282022HungaryReliability analysis-based investigation of the historical chenyi Chain Bridge deck systemKavesdi, B., Kollár, D., Dunai, L. and Horvajth, A.
292022UK and ItalyA monitoring-based classification system for risk management of bridge scourMaroni, A., Tubaldi, E., McDonald, H. and Zonta, D.
332022ChinaFailure mechanism and vulnerability assessment of coastal box-girder bridge with laminated rubber bearings under extreme wavesXu, Y., Xu, G., Xue, S., Wang, J. and Li, Y.
342022ItalyCritical issues in existing RC deck stiffened arch bridges under seismic actionsCrisci, G., Ceroni, F., Lignola, G.P. and Prota, A.
352022China and South KoreaSeismic Vulnerability Analysis of Long Span Prestressed Concrete Continuous Rigid Frame BridgeHua, L., Yongyan, L., Jianqiang, F., Bin, L. and Wenjuan, L.
362022IndiaAnalysis of bridge failures in India from 1977 to 2017Garg, R.K., Chandra, S. and Kumar, A.
372022IranComponent and system-level reliability analysis of riprap layer around bridge pier in clear water conditionKarimaei Tabarestani, M., Salamatian, A. and Panahi Azad, M.
402022UKRisk-informed asset management to tackle scouring on bridges across transport networksSasidharan, M., Parlikad, A.K. and Schooling, J.
432022New ZealandSimplified Mechanics-Based Approach for the Seismic Assessment of Corroded Reinforced Concrete StructuresNataraj, S., Hogan, L., Scott, A. and Ingham, J.
442022Iran and UKSeismic vulnerability assessment of ageing reinforced concrete structures under real mainshock-aftershock ground motionsAfsar Dizaj, E., and Salami, M.R. and Kashani, M.M.
452022UK and ItalyReliability assessment of existing RC bridges with spatially variable pitting corrosion subjected to increasing traffic demandPugliese, F., De Risi, R. and Sarno, L.D.
462022Portugal and SerbiaHuman error impact in structural safety of a reinforced concrete bridgeGalvao, N., Matos, J.C., and Oliveira, D.V. and Hajdin, R.
382021ChinaLife-cycle seismic performance assessment of aging RC bridges considering multi-failure modes of bridge columnsXu, J.-G., Cai, Z.-K. and Feng, D.-C.
392021IndiaImproved Component-Level Deterioration Modelling and Capacity Estimation for Seismic Fragility Assessment of Highway BridgesShekhar, S. and Ghosh, J.
412021PortugalHuman Error-Induced risk in Reinforced Concrete Bridge EngineeringGalvao, N., Matos, J.C., and Oliveira, D.V.
422021ChinaComparative assessment of seismic collapse risk for non-ductile and ductile bridges: a case study in ChinaHuang, C., Chen, L., He, L. and Zhuo, W.
472021ChinaQuantitative assessment method of structural safety for complex timber structures with decay diseasesZhang, C., Chun, Q., Lin, Y., Han, Y. and Jia, X.
482021ChinaSeismic resilience assessment of aging bridges with different failure modesHuang, C. and Huang, S.
492021China and USAPerformance-based risk assessment of reinforced concrete bridge piers subjected to vehicle collisionChen, L., Qian, J., Tu, B., Frangopol, D.M. and Dong, Y.
502021USACan past failures help identify vulnerable bridges to extreme events? A biomimetical machine learning approachNaser, M.Z.
512021USAIntegrating the Risk of Climate Change into Transportation Asset Management to Support Bridge Network-Level Decision-MakingChang, C.M., Ortega, O. and Weidner, J.
522021UKVulnerability of bridges to individual and multiple hazards- floods and earthquakesArgyroudis, S.A. and Mitoulis, S.A.
532021USAIntegrated Framework for Assessment of Time-Variant Flood Fragility of Bridges Using Deep Learning Neural NetworksKhandel, O. and Soliman, M.
542021USARisk-based life-cycle optimisation of deteriorating steel bridges: Investigation on the use of novel corrosion resistant steelHan, X., and Yang, D.Y. and Frangopol, D.M.
552021JapanSeismic fragility and uncertainty mitigation of cable restrainer retrofit for isolated highway bridges incorporated with deteriorated elastomeric bearingsKurino, S., Wei, W. and Igarashi, A.
562021Taiwan and ChinaDesign a bridge scour monitoring system by pressing the fibre Bragg grating with a rolling pulley mechanismLiang, T.-C., Wu, P.-T., Huang, H.-S. and Yang, C.-C.
632021USAFlood-fragility analysis of instream bridges consideration of flow hydraulics, geotechnical uncertainties, and variable scour depthAhamed, T., Duan, J.G. and Jo, H.
672021IranReliability study on uncertainty parameters and flood duration on scouring around unprotected and protected bridge piersSalamatian, S.A. and Zarrati, A.R.
572020Australia and USAProbabilistic evaluation of unknown foundations for scour susceptible bridgesMedina-Cetina, Z., Yousefpour, N. and Briaud, J.-L.
582020ItalyOn the collapse evaluation of existing RC bridges exposed to corrosion under horizontal loadsCrespi, P., Zucca, M. and Valente, M.
592020ChinaMulti-objective Decision-Making Method for Bridge Deck Maintenance Scheme for HighwayQi, X.-J., Tang, L., Kang, W.-X. and Qin, J.-J.
602020BrazilFailure characterisation of a structural welded component of an ancient bridgePardal, J.M., Gripp, I., Tavares, S.S.M., Cardoso, A.S.M., Pereira, A.M., Carneiro da Cunha, R.P. and Barbosa, C.
612020ChinaA novel degradation-rate-volatility related effect Wiener process model with its extension to accelerated ageing data analysisYan, B., Ma, X., Yang, L., Wang, H. and Wu, T.
622020USAVulnerability Assessment of Bridge Piers Damaged in Barge Collision to Subsequent Hurricane EventsOppong, K., Saini, D. and Shafei, B.
642020China and USANonlinear Dynamic Response and Assessment of Bridges under Barge Impact with Scour Depth EffectsGuo, X., Zhang, C. and Chen, Z.
652020USAIdentifying Characteristics of Bridges Vulnerable to Hydraulic Hazards Using Bridge Failure DataWirkijowski, D. and Moon, F.L.
662020India and South KoreaRegional seismic risk assessment of infrastructure systems through machine learning: Active learning approachMangalathu, S. and Jeon, J.-S.
682020Canada and USAParameterised fragility models for multi-bridge classes subjected to hurricane loadsBalomenos, G.P., Kameshwar, S. and Padgett, J.E.
692020USANetwork-Level Risk-Based Framework for Optimal Bridge Adaptation Management Considering Scour and Climate ChangeLiu, L., Yang, D.Y. and Frangopol, D.M.
702020USALife-cycle management of deteriorating bridge networks with network-level risk bounds and system reliability analysisYang, D.Y. and Frangopol, D.M.
712020Japan and USAToward life-cycle reliability-, risk- and resilience-based design and assessment of bridges and bridge networks under independent and interacting hazards: emphasis on earthquake, tsunami, and corrosionAkiyama, M., Frangopol, D.M. and Ishibashi, H.
722020JapanFramework for estimating the risk and resilience of road networks with bridges and embankments under both seismic and tsunami hazardsIshibashi, H., Akiyama, M., Frangopol, D.M. and Koshimura, S., Kojima, T. and Nanami, K.
732020USARetrospective Analysis of Hydraulic Bridge CollapseMontalvo, C., Cook, W. and Keeney, T.
742020TaiwanSeismic assessments for scoured bridges with pile foundationsHe, L.-G. and Hung, H.-H. and Chuang, C.-Y. and Huang, C.-W.
752020ItalyRelevant outcomes from the history of Polcevera Viaduct in Genova, from design to nowadays failureNuti, C., Briseghella, B., Chen, A., Lavorato, D., Iori, T. and Vanzi, I.
762020IndiaImpact of Design Code Evolution on Failure Mechanism and Seismic Fragility of Highway Bridge PiersShekhar, S., Ghosh, J. and Ghosh, S.
772019NorwayGeohazard assessment related to submarine instabilities in rnafjorden, NorwayCarlton, B., Vanneste, M., Forsberg, C.F., Knudsen, S., Lavholt, F., Kvalstad, T., Holm, S., Kjennbakken, H., Mazhar, M.A., Degago, S. and Haflidason, H.
782019USALife Cycle Cost Analysis of Deteriorated Bridge Expansion JointsLee Kelly, A., Atadero, R.A. and Mahmoud, H.N.
792019Sweden and NorwayPartial safety factors for the anchorage capacity of corroded reinforcement bars in concreteBlomfors, M., Larsson Ivanov, O., Honfa, D. and Engen, M.
802019ChinaPerformance of reinforced concrete pier columns subjected to lateral impactZhao, W.-C. and Qian, J.
812019USAIntegrated Framework for Quantifying the Effect of Climate Change on the Risk of Bridge Failure Due to Floods and Flood-Induced ScourKhandel, O. and Soliman, M.
822019NetherlandsReliability analysis of reinforced concrete vehicle bridges columns using non-parametric Bayesian networksMendoza-Lugo, M.A. and Delgado-Hernajndez, D.J. and Morales-Najpoles, O.
832019ChinaSeismic fragility analysis of deteriorating RC bridge columns with time-variant capacity indexCheng, H., Li, H.-N., Yang, Y.B. and Wang, D.-S.
842018CanadaCondition assessment of reinforced concrete bridges: Current practice and research challengesOmar, T. and Nehdi, M.L.
852018Slovenia, Italy and the NetherlandsStructural health monitoring for performance assessment of bridges under flooding and seismic actionsPrendergast, L.J., Limongelli, M.P., Ademovic, N., Analin, A., Gavin, K. and Zanini, M.
862018USARisk-based cost-benefit analysis for the retrofit of bridges exposed to extreme hydrologic events considering multiple failure modesMondoro, A. and Frangopol, D.M.
872018Serbia and SwitzerlandManagement of bridges with shallow foundations exposed to local scourTanasi, N. and Hajdin, R.
882018Iran and USASeismic vulnerability assessment of RC skew bridges subjected to mainshock-aftershock sequencesOmranian, E., Abdelnaby, A.E. and Abdollahzadeh, G.
892018USAParameterised fragility assessment of bridges subjected to hurricane events using metamodels and multiple environmental parametersSaeidpour, A., Chorzepa, M.G., Christian, J. and Durham, S.
902018USASustainability-Informed Bridge Ranking under Scour Based on Transportation Network Performance and Mult attribute UtilityLiu, L., Frangopol, D.M., Mondoro, A., and Yang, D.Y.
912018ChinaA method for the seismic vulnerability assessment of corroded steel structuresXu, S.-H., Zhang, Z.-X., Li, R. and Wei, L.-H.
922018USAParameterised Fragility Assessment of Bridges Subjected to Pier Scour and Vehicular LoadsKameshwar, S. and Padgett, J.E.
932018IndiaA study of durability parameters on fly ash based geopolymer concrete using electrical analyserSaravanan, G. and Jeyasehar, C.A.
1022018ChinaExperimental research on load-shear performance of interface between new and old concrete with corroded planting barPeng, H.-D., Liu, D.-W., Dai, B., Zeng, S.-S. and Chu, F.-J.
942017UKMonitoring-based reliability analysis of aging concrete structures by Bayesian updatingChen, H.-P.
962017TurkeyIn-Depth Investigation of Seismic Vulnerability of an Aging River Bridge Exposed to ScourAvsar, Ö., Atak, B. and Caner, A.
972017RomaniaRefurbishment of existing steel structures an actual problemDorin, R., Feier, A., Petzek, E. and Bancila, R.
982017USAOptimal risk-based management of coastal bridges vulnerable to hurricanesMondoro, A., Frangopol, D.M. and Soliman, M.
1002017USAHistorical analysis of hydraulic bridge collapses in the continental United StatesFlint, M.M., Fringer, O., Billington, S.L., Freyberg, D. and Diffenbaugh, N.S.
1012017USAIncorporating soil erodibility properties into scour risk-assessment tools using HYRISKBones, E.J., Garrow, L.A. and Sturm, T.W.
1032017TaiwanVulnerability evaluation of scoured bridges under floodsHung, C.-C. and Yau, W.-G.
952016USABridge deck delamination identification from unmanned aerial vehicle infrared imageryEllenberg, A., Kontsos, A., Moon, F. and Bartoli, I.
992016USATime-Dependent Risk Assessment of Bridges Based on Cumulative-Time Failure ProbabilityZhu, B. and Frangopol, D.M.
1062016IndiaBridges failures in extreme flood events by taking a case studyHussain, A. and Jan, S.
1082016IndiaTime-variant reliability analysis of RC bridge girders subjected to corrosion shear limit stateVatteri, A.P., Balaji Rao, K. and Bharathan, A.M.
1092016USAProbabilistic Time-Dependent Multihazard Life-Cycle Assessment and Resilience of Bridges Considering Climate ChangeDong, Y. and Frangopol, D.M.
1102016Italy and PortugalSampling based numerical seismic assessment of continuous span RC bridgesMonteiro, R.
1042015Brazil and FranceStructural modification assessment using supervised learning methods applied to vibration dataAlves, V., Cury, A., Roitman, N., Magluta, C. and Cremona, C.
1052015MexicoThe Mexican Coastal Current: A subsurface seasonal bridge that connects the tropical and subtropical Northeastern PacificGómez-Valdivia, F., Parés-Sierra, A. and Flores-Morales, A.L.,
1072015USASustainability-informed maintenance optimization of highway bridges considering multi-attribute utility and risk attitudeSabatino, S., Frangopol, D.M. and Dong, Y.
1112014USAOptimisation of life-cycle maintenance of deteriorating bridges with respect to expected annual system failure rate and expected cumulative costBarone, G., Frangopol, D.M. and Soliman, M.
1122014TaiwanForensic diagnosis on flood-induced bridge failure. II: Framework of quantitative assessmentWu, T.-R., Wang, H., Ko, Y.-Y., Chiou, J.-S., Hsieh, S.-C., Chen, C.-H., Lin, C., Wang, C.-Y. and Chuang, M.-H.
Source(s): Authors’ own work
Table A2.

Analysis of the selected articles

IDAgeing infrastructure (1)Lack of maintenance, e.g. due to resource or budget limitations (1)Climate change (1)Hydraulic actions, e.g. flooding or scour (1)Natural disasters, e.g. earthquakes, hurricanes or landslidesMaterial deteriorationIncreased loadingHuman error in design or maintenanceLimited asset infoFuning and skills shortageBlast loading
1X
2X
3X
4X
5X
6X
7X
8X
9X
10X
11X
12X
13X
14X
15X
16X
17X
18X
19X
20XXX
21X
22X
23X
24X
25X
26X
27X
28XX
29X
30X
31X
32X
33X
34X
35X
36XX
37X
38X
39X
40X
41X
42X
43XXX
44X
45XX
46X
47X
48XX
49X
50XX
51X
52XX
53X
54X
55X
56X
57X
58XX
59X
60X
61X
62XX
63X
64X
65X
66X
67X
68X
69XX
70XXXXX
71XX
72XX
73X
74XX
75X
76X
77X
78X
79X
80X
81XX
82XX
83X
84XXX
85XX
86XX
87X
88X
89X
90X
91X
92X
93X
94X
95X
96XX
97X
98X
99X
100X
101X
102X
103X
104XXX
105X
106XX
107XX
108X
109X
110X
111X
112X
Note(s):

Challenge faced by UK asset owners as identified within the literature review

Source(s): Authors’ own work
Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence maybe seen at Link to the terms of the CC BY 4.0 licenceLink to the terms of the CC BY 4.0 licence.

or Create an Account

Close Modal
Close Modal