Predicting the failure of timber bridges by using current inspection reports
Article
Lokuge, Weena, Wilson, Matthew, Tran, Huu and Setunge, Sujeeva. 2017. "Predicting the failure of timber bridges by using current inspection reports." Engineering for Public Works.
| Article Title | Predicting the failure of timber bridges by using current inspection reports |
|---|---|
| Article Category | Article |
| Authors | Lokuge, Weena (Author), Wilson, Matthew (Author), Tran, Huu (Author) and Setunge, Sujeeva (Author) |
| Journal Title | Engineering for Public Works |
| Number of Pages | 5 |
| Year | 2017 |
| Place of Publication | Queensland, Australia |
| Web Address (URL) | https://issuu.com/ipweaqld/docs/epw_september_2017 |
| Abstract | There is a large timber bridge stock in service within Australia and currently over 300 timber bridges on Queensland state controlled roads. Majority of these timber bridges are in the latter half of their service life and require constant maintenance as the timber components deteriorate over time. Detailed level 2 inspections are performed as part of the bridge management systems used by road authorities. This paper discusses a simple method to use an inspection report to predict the chance of the failure of the bridge in a given number of years. Although the Markov process adopted in this research was based on inspection reports for several timber bridges for three time periods, it can further be refined using a data base of inspections for many time periods and environmental conditions. The proposed method is demonstrated using an inspection report for a hypothetical timber bridge. |
| Keywords | Timber bridge, deterioration modelling, inspection report |
| ANZSRC Field of Research 2020 | 400508. Infrastructure engineering and asset management |
| Public Notes | No evidence of copyright restrictions preventing deposit of Accepted Version. |
| Byline Affiliations | School of Civil Engineering and Surveying |
| Royal Melbourne Institute of Technology (RMIT) | |
| Institution of Origin | University of Southern Queensland |
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