Abstract
For the bridge maintenance strategy and planning must be required to predict future performance based on the current performance, it is possible more rational decision-making through the higher accuracy of the prediction model. While performing a detailed inspection of the entire bridge can reduce a significant part of the uncertainty, it is impossible to reduce the uncertainty of inspection result and it is always evaluated by probability. In this study, to solve this problem, a Bayesian update method is applied to the optimal maintenance strategy in Bridge Management System (BMS) considering probability of measuring error. Also, examples of application are presented, showing the effects of inspection and updating on the optimization of the bridge maintenance strategies. In this study, application possibility and availability of domestic bridge management system are evaluated by referring to the proposed method in the existing trends.
| Original language | English |
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| Title of host publication | Life-Cycle of Engineering Systems |
| Subtitle of host publication | Emphasis on Sustainable Civil Infrastructure - 5th International Symposium on Life-Cycle Engineering, IALCCE 2016 |
| Editors | Jaap Bakker, Dan M. Frangopol, Klaas van Breugel |
| Publisher | CRC Press/Balkema |
| Pages | 1713-1715 |
| Number of pages | 3 |
| ISBN (Print) | 9781138028470 |
| Publication status | Published - 2017 |
| Event | 5th International Symposium on Life-Cycle Engineering, IALCCE 2016 - Delft, Netherlands Duration: 2016 Oct 16 → 2016 Oct 20 |
Publication series
| Name | Life-Cycle of Engineering Systems: Emphasis on Sustainable Civil Infrastructure - 5th International Symposium on Life-Cycle Engineering, IALCCE 2016 |
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Other
| Other | 5th International Symposium on Life-Cycle Engineering, IALCCE 2016 |
|---|---|
| Country/Territory | Netherlands |
| City | Delft |
| Period | 16/10/16 → 16/10/20 |
Bibliographical note
Publisher Copyright:© 2017 Taylor & Francis Group, London.
ASJC Scopus subject areas
- Civil and Structural Engineering
- Safety, Risk, Reliability and Quality