Bridge managers need to generate a complete overview of required interventions, possession windows and likely costs 10–20 years ahead of execution. These, even if approximate, help ensure stable train schedules. With the increasing amount of available data and the increasing desire to exploit digitalisation to improve decision making, bridge managers are perfectly poised to make or improve these estimates by moving on from current qualitative methods. This paper proposes a way in the current climate to use digitalisation and existing data to generate approximate overviews of required interventions 10–20 years ahead of time, including estimates of component-level bridge interventions, possession windows, likely costs and the increases in failure risks if interventions are postponed. A demonstration is done on 41 bridges of a 25 km railway network in Switzerland. It is argued that the algorithm generates a more complete and consistent overview of component-level interventions, possession windows and costs compared with current qualitative methods. Additionally, the algorithm generates a solid basis for the initiation of detailed investigations of the bridges by engineering offices – that is, the investigations that result in the information required for scheduling an intervention, as well as estimating the type of intervention and track possession that are required.
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September 2024
Research Article|
September 13 2024
Automated early estimation of bridge interventions, possession windows and costs Available to Purchase
Hamed Mehranfar, MSc
;
Hamed Mehranfar, MSc
Research Assistant
Institute of Construction and Infrastructure Management, ETH Zürich, Zurich, Switzerland (corresponding author: mehranfar@ibi.baug.ethz.ch)
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Bryan T Adey, PhD
;
Bryan T Adey, PhD
Professor and Head of the Infrastructure Management Group
Institute of Construction and Infrastructure Management, ETH Zürich, Zurich, Switzerland
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Saviz Moghtadernejad, PhD
;
Saviz Moghtadernejad, PhD
Research Associate
Construction Research Centre, National Research Council, Ottawa, Canada
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Steven Chuo, MSc
Steven Chuo, MSc
Research Assistant
Institute of Construction and Infrastructure Management, ETH Zürich, Zurich, Switzerland
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Publisher: Emerald Publishing
Received:
August 17 2023
Accepted:
November 14 2023
Online ISSN: 2053-0250
Print ISSN: 2053-0242
Emerald Publishing Limited: All rights reserved
2024
Infrastructure Asset Management (2024) 11 (3): 128–144.
Article history
Received:
August 17 2023
Accepted:
November 14 2023
Citation
Mehranfar H, Adey BT, Moghtadernejad S, Chuo S (2024), "Automated early estimation of bridge interventions, possession windows and costs". Infrastructure Asset Management, Vol. 11 No. 3 pp. 128–144, doi: https://doi.org/10.1680/jinam.23.00038
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