Predicting the probability of failure of timber bridges using fault tree analysis

Lokuge, Weena and Wilson, Matthew and Tran, Huu and Setunge, Sujeeva (2019) Predicting the probability of failure of timber bridges using fault tree analysis. Structure and Infrastructure Engineering. ISSN 1573-2479


The resilience of a community in an extreme event depends mainly on the robustness of the critical infrastructures. Road bridges are a critical link of the road network, which plays a focal role in Australia’s economy, prosperity, social well-being and quality of life. Timber bridges are a weaker link of the Australian road network and they often provide critical access to the rural communities. This research uses a number of bridge inspection reports to develop a method to predict the probability of failure of a timber bridge. The inspected condition states of the elements in the timber bridge are used to develop a Markov chain based model and Gamma process model to predict the deterioration of each element. The probability of condition state movement for each element thus calculated were used in fault tree analysis to estimate likelihood of failure of a bridge in a given time period. Although the developed method is based on limited data and it has several limitations, model can be further refined with the availability of more inspection reports. The method developed is demonstrated using an inspection report for a timber bridge, which was not used in the development of the models.

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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Published online: 2 February 2019. Permanent restricted access to ArticleFirst version, in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Current - Institute for Advanced Engineering and Space Sciences - Centre for Future Materials
Date Deposited: 11 Mar 2019 04:43
Last Modified: 12 Mar 2019 04:57
Uncontrolled Keywords: timber structures; rehabilitation; Markov process; bridge failure; inspection
Fields of Research : 09 Engineering > 0905 Civil Engineering > 090505 Infrastructure Engineering and Asset Management
09 Engineering > 0905 Civil Engineering > 090506 Structural Engineering
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
Identification Number or DOI: 10.1080/15732479.2019.1569069

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