Analysis of Arch Bridge Condition Data to Identify Network-Wide Controls and Trends
Author(s): |
Kristopher Campbell
Myra Lydon Nicola-Ann Stevens Su Taylor |
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Medium: | journal article |
Language(s): | English |
Published in: | Infrastructures, 9 April 2024, n. 4, v. 9 |
Page(s): | 70 |
DOI: | 10.3390/infrastructures9040070 |
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. |
Copyright: | © 2024 the Authors. Licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
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data sheet - Reference-ID
10776404 - Published on:
29/04/2024 - Last updated on:
05/06/2024