Incorporating defect specific condition indicators in a bridge life cycle analysis

Calvert, Gareth; Neves, Luis; Andrews, John; Hamer, Matthew

Abstract

Bridges are critical assets for the safe, reliable and functional operation of transportation networks. Infrastructure asset managers are responsible for ensuring that these bridges adhere to rigorous safety standards using the finite resources available to transportation agencies. To facilitate strategy development and to present decisions to stakeholders, a life cycle analysis is commonly performed. Many bridge owners use stochastic models that are calibrated using condition records from visual examinations, however, condition records typically report bridge condition on a single condition scale. In this study, defect specific condition scales are utilised to implement multiple defect specific condition indicators in the modelling of deterioration. These additional indicators enable the modelling of the interactions between defects during deterioration. Moreover, the indicators are used in the modelling of different defect specific maintenance interventions providing the scope to quantitatively assess the effects of strategies that favour early intervention. A multiple defect deterioration model is presented as a dynamic Bayesian network, which is calibrated using records for metallic girders from railway bridges in the United Kingdom. A Petri net model is then used to perform a life cycle analysis, which incorporates a novel dynamic conditional approach for Petri net modelling to utilise the multiple condition indicators.

Citation

Calvert, G., Neves, L., Andrews, J., & Hamer, M. (2021). Incorporating defect specific condition indicators in a bridge life cycle analysis. Engineering Structures, 246, Article 113003. https://doi.org/10.1016/j.engstruct.2021.113003

• Journal Article Type: Article
• Acceptance Date: Aug 9, 2021
• Online Publication Date: Aug 25, 2021
• Publication Date: Nov 1, 2021
• Deposit Date: Aug 17, 2021
• Publicly Available Date: Aug 26, 2022
• Journal: Engineering Structures
• Print ISSN: 0141-0296
• Electronic ISSN: 1873-7323
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 246
• Article Number: 113003
• DOI: https://doi.org/10.1016/j.engstruct.2021.113003
• Keywords: Civil and Structural Engineering
• Public URL: https://nottingham-repository.worktribe.com/output/6054899
• Publisher URL: https://www-sciencedirect-com.nottingham.idm.oclc.org/science/article/pii/S0141029621011457?via%3Dihub
• Additional Information: This article is maintained by: Elsevier; Article Title: Incorporating defect specific condition indicators in a bridge life cycle analysis; Journal Title: Engineering Structures; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.engstruct.2021.113003; Content Type: article; Copyright: © 2021 The Author(s). Published by Elsevier Ltd.