Analysis of Arch Bridge Condition Data to Identify Network-Wide Controls and Trends-Reference-Cited by-同舟云学术

Analysis of Arch Bridge Condition Data to Identify Network-Wide Controls and Trends

Published:2024-04-04 Issue:4 Volume:9 Page:70
ISSN:2412-3811
Container-title:Infrastructures
language:en
Short-container-title:Infrastructures

Author:

Campbell Kristopher¹^ORCID,Lydon Myra²^ORCID,Stevens Nicola-Ann³^ORCID,Taylor Su³

Affiliation:

1. Department for Infrastructure, Belfast BT2 8GB, UK

2. Civil Engineering, College of Science & Engineering, University of Galway, University Road, H91 TK33 Galway, Ireland

3. School of Natural and Built Environment, Queen’s University, Belfast BT7 1NN, UK

Abstract

This paper outlines an initial analysis of 20 years of data held on an electronic bridge management database for approximately 3500 arch bridges across Northern Ireland (NI) by the Department for Infrastructure. Arch bridges represent the largest group of bridge types, making up nearly 56% of the total bridge stock in NI. This initial analysis aims to identify trends that might help inform maintenance decisions in the future. Consideration of the Bridge Condition Indicator (BCI) average value for the overall arch bridge stock indicates the potential for regional variations in the overall condition and the potential for human bias in inspections. The paper presents the most prevalent structural elements and associated defects recorded in the inspections of arch bridges. This indicated a link to scour and undermining for the worst-conditioned arch bridges. An Analysis of Variance (ANOVA) analysis identified function, number of spans, and deck width as significant factors during the various deterioration stages in a bridge’s lifecycle.

Funder

Royal Academy of Engineering

Publisher

MDPI AG

Link

https://www.mdpi.com/2412-3811/9/4/70/pdf

Reference11 articles.

1. Stevens, N.-A., Lydon, M., Campbell, K., Neeson, T., Marshall, A.H., and Taylor, S. (2020). Civil Engineering Research in Ireland Conference Proceedings, Civil Engineering Research Association of Ireland. Available online: https://sword.cit.ie/ceri/2020/3/2.

2. Ciria (2022, February 13). C656—Masonry Arch Bridges: Condition Appraisal and Remedial Treatment. Available online: www.ciria.org.

3. Human factors affecting visual inspection of fatigue cracking in steel bridges Human factors affecting visual inspection of fatigue cracking in steel bridges;Campbell;Struct. Infrastruct. Eng.,2021

4. Framework for Mitigating Human Bias in Selection of Explanatory Variables for Bridge Deterioration Modeling;Chang;J. Infrastruct. Syst.,2017

5. Orbán, Z. (2004, January 17–19). Assessment, Reliability and Maintenance of Masonry Arch Railway Bridges in Europe. Proceedings of the ARCH’ 2004, 4th International Conference on Arch Bridges, Barcelona, Spain.