Maintaining and modernising bridge structures is crucial to ensuring their structural integrity and public safety. This paper presents an innovative, semi-automated approach to transforming 3D point cloud data of bridges into precise, editable computer-aided design (CAD) drawings. The proposed methodology achieves high precision in mapping essential bridge components, accurately recognising and delineating key structural features such as supports and deck structures. Testing shows that the automatically generated CAD models achieve an Intersection over Union (IoU) metric of up to 91% for critical structural outlines, with an F1-measure indicating dimensional inaccuracies of about 8% and an 83% success rate in identifying pivotal elements. In addition, the approach demonstrates exceptional efficiency, generating an editable CAD drawing in DXF format in under 1 min. The proposed framework is also used for updating finite element (FE) models for bridges, enabling more advanced structural analysis and proactive maintenance protocols. This combination of automated CAD modelling with FE model refinement provides a novel methodology for streamlining the evaluation and preservation of bridge infrastructure, making a significant contribution to the field of structural engineering.
Skip Nav Destination
Article navigation
1 September 2025
Article Contents
Research Article|
October 27 2025
Digital reconstruction and geometrical model updating of large-scale bridge structures: a case study of Baijusi bridge Available to Purchase
Chunli Ying;
Chunli Ying
School of Architecture, Building and Civil Engineering,
Loughborough University
, Loughborough, UK
Search for other works by this author on:
Ashraf El-Hamalawi;
Ashraf El-Hamalawi
School of Architecture, Building and Civil Engineering,
Loughborough University
, Loughborough, UK
Search for other works by this author on:
Shanqin Chen;
Shanqin Chen
China Communications 2nd 6 Navigational Bureau 2nd Engineering Co., Ltd.
, Wuhan, China
Search for other works by this author on:
Daguang Han
School of Civil Engineering,
Southeast University
, Nanjing, China
Corresponding author Daguang Han (daguanghan@seu.edu.cn)
Search for other works by this author on:
Corresponding author Daguang Han (daguanghan@seu.edu.cn)
Publisher: Emerald Publishing
Received:
April 30 2024
Accepted:
September 04 2025
© 2025 Emerald Publishing Limited
2025
Emerald Publishing Limited
Licensed re-use rights only
Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction (2025) 178 (3): 167–177.
Article history
Received:
April 30 2024
Accepted:
September 04 2025
Citation
Ying C, El-Hamalawi A, Chen S, Han D (2025), "Digital reconstruction and geometrical model updating of large-scale bridge structures: a case study of Baijusi bridge". Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction, Vol. 178 No. 3 pp. 167–177, doi: https://doi.org/10.1680/jsmic.24.00012
Download citation file:
Suggested Reading
Building information modelling a key for construction industry recovery post-Covid-19
Proceedings of the Institution of Civil Engineers - Engineering Sustainability (June,2022)
Smart city UK: integrating BIM and IoT under digital built Britain strategy
Infrastructure Asset Management (August,2025)
Innovation realisation for digitalising Dutch small architecture practices: state of the art review
Proceedings of the Institution of Civil Engineers - Management, Procurement and Law (June,2022)
Briefing: Plexus: Priming Laboratory Experiments on Infrastructure and Urban Systems
Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction (June,2022)
3D deep-learning-enhanced void-growing approach in creating geometric digital twins of buildings
Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction (December,2022)
Related Chapters
Sustainability and Climate Change
Water Supply and Distribution Systems
Water Demand: Estimation, Forecasting and Management
Water Supply and Distribution Systems
Conclusion
BIM in Principle and in Practice
Recommended for you
These recommendations are informed by your reading behaviors and indicated interests.
