Analysis of visual inspection data for a sample of highway bridges in the UK

John Bennetts; Paul J Vardanega; Graham T. Webb; Steve Denton; Neil Loudon

doi:10.1680/jfoen.21.00005

Analysis of visual inspection data for a sample of highway bridges in the UK

John Bennetts
, Paul J Vardanega
, Graham T. Webb
, Steve Denton
, Neil Loudon

Research output: Contribution to journal › Article (Academic Journal) › peer-review

4 Citations (Scopus)

263 Downloads (Pure)

Abstract

The UK has a large stock of highway bridges that is ageing and deteriorating. This paper presents the results of a programme of work to understand the reliability of the visual inspection data that is used to inform the management of Highways England’s structures. This paper presents a data set comprising evidence collected from presence at the principal inspection or testing of 200 bridges randomly sampled from Highways England’s bridge network, coupled with asset management data for Highways England’s entire bridge stock. Recommendations are made for future improvements in visual inspection practice and use of such data in future asset management efforts.

Original language	English
Pages (from-to)	79–88
Number of pages	10
Journal	Proceedings of the ICE - Forensic Engineering
Volume	176
Issue number	3
Early online date	12 Apr 2022
DOIs	https://doi.org/10.1680/jfoen.21.00005
Publication status	Published - 1 Jul 2023

Bibliographical note

Funding Information:
The first author thanks Professor Colin Taylor for his supervision of his EngD studies. The opinions expressed in this paper are those of the authors and do not necessarily represent those of the sponsoring organisations. The authors acknowledge the financial support of Highways England for this research. The first author acknowledges the support of the Engineering and Physical Sciences Research Council (grant EP/G037353/1, Industrial Doctorate Centre: Systems). Data availability statement: New experimental data collected during this study are owned by Highways England.

Publisher Copyright:
© 2023 Emerald Publishing Limited. All rights reserved.

Keywords

Bridge Condition
Bridge Management
Visual Inspection

Access to Document

10.1680/jfoen.21.00005

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This is the accepted author manuscript (AAM). The final published version (version of record) is available online via ICE Publishing at https://doi.org/10.1680/jfoen.21.00005. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 1.54 MBLicence: CC BY

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4 Citations
1 Conference Contribution (Conference Proceeding)

A review of recent research on visual inspection processes for bridges and the potential uses of AI
Vardanega, P. J., Tryfonas, T., Gavriel, G., Nepomuceno, D., Pregnolato, M. & Bennetts, J., 12 Jul 2024, Bridge Maintenance, Safety, Management, Digitalization and Sustainability: Proceedings of the 12th International Conference on Bridge Maintenance, Safety and Management, 24-28 June 2024, Copenhagen, Denmark. Jensen, J. S., Frangopol, D. M. & Schmidt, J. W. (eds.). 1st ed. Abingdon, Oxon: CRC Press/Balkema, Taylor & Francis Group, p. 3573-3580 8 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

Open Access
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4 Citations (Scopus)

143 Downloads (Pure)

The Management of Bridges
Bennetts, J. (Author), Vardanega, P. (Supervisor), Taylor, C. (Supervisor) & Denton, S. R. (Supervisor), 25 Jun 2019
Student thesis: Doctoral Thesis › Engineering Doctorate (EngD)

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Cite this

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Analysis of visual inspection data for a sample of highway bridges in the UK

Abstract

Bibliographical note

Keywords

Access to Document

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Research output

A review of recent research on visual inspection processes for bridges and the potential uses of AI

Student theses

The Management of Bridges

Cite this