The optimal maintenance strategy in bms considering probability of measuring error

Jin Hyuk Lee, Kyunghwa Cha, Sang Mi Ahn, Jung Sik Kong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationLife-Cycle of Engineering Systems
Subtitle of host publicationEmphasis on Sustainable Civil Infrastructure - 5th International Symposium on Life-Cycle Engineering, IALCCE 2016
PublisherCRC Press/Balkema
Pages1713-1715
Number of pages3
ISBN (Print)9781138028470
Publication statusPublished - 2017 Jan 1
Event5th International Symposium on Life-Cycle Engineering, IALCCE 2016 - Delft, Netherlands
Duration: 2016 Oct 162016 Oct 20

Other

Other5th International Symposium on Life-Cycle Engineering, IALCCE 2016
CountryNetherlands
CityDelft
Period16/10/1616/10/20

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Safety, Risk, Reliability and Quality

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  • Cite this

    Lee, J. H., Cha, K., Ahn, S. M., & Kong, J. S. (2017). The optimal maintenance strategy in bms considering probability of measuring error. In Life-Cycle of Engineering Systems: Emphasis on Sustainable Civil Infrastructure - 5th International Symposium on Life-Cycle Engineering, IALCCE 2016 (pp. 1713-1715). CRC Press/Balkema.