期刊
PROBABILISTIC ENGINEERING MECHANICS
卷 58, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.probengmech.2019.103003
关键词
Fatigue crack; Updating; Inspection; Maintenance; Delay; Multi-objective; Optimization; Cost; Uncertainty
资金
- National Science Foundation (NSF), USA [CMMI-1537926]
- U.S. Department of Transportation Region 3 University Transportation Center [CIAM-UTC-REG6]
- U.S. Federal Highway Administration (FHWA) [DTFH61-07-H-00040]
- U.S. Office of Naval Research (ONR) [N00014-08-1-0188, N00014-12-1-0023, N00014-16-1-2299]
- National Aeronautics and Space Administration (NASA), USA [NNX10AJ20G]
- Regional Development Research Program by Ministry of Land, Infrastructure and Transport of Korean government [19RDRP-B076564-06]
Optimum inspection and maintenance planning is essential for the successful management of deteriorating structures. The reliability and accuracy of inspection and maintenance planning can be significantly improved by integrating new information obtained from inspections. For this reason, the inspection and maintenance planning should include an updating process after each inspection. This paper presents such a probabilistic approach for optimum inspection and maintenance planning. The proposed approach includes two multi-objective optimization (MOOP) processes before and after damage detection for effective updating. The first MOOP before damage detection is performed to determine the optimum inspection times by minimizing both the expected damage detection delay and expected total inspection cost. The fatigue crack detected at the inspection time scheduled from the first MOOP is used to update the probabilistic fatigue crack propagation. The updated crack propagation is applied to formulate the second MOOP, which determines the optimum times for maintenance with the objectives of minimizing both the expected maintenance delay and expected total inspection cost. The decision making process is applied to select the best Pareto solution from the Pareto optimal solutions of the first and second MOOPs. The proposed approach is applied to a fatigue critical detail of an existing steel bridge.
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