累积前景理论
桥(图论)
最佳维护
多目标优化
维护措施
偏爱
预防性维护
风险分析(工程)
桥梁维护
可靠性工程
期望效用假设
工程类
计算机科学
运筹学
经济
业务
微观经济学
数理经济学
内科学
机器学习
医学
甲板
结构工程
作者
Changqing Gong,Dan M. Frangopol
出处
期刊:Journal of Structural Engineering-asce
[American Society of Civil Engineers]
日期:2020-05-01
卷期号:146 (5)
被引量:30
标识
DOI:10.1061/(asce)st.1943-541x.0002570
摘要
This paper proposes a novel optimal condition-based life-cycle highway bridge maintenance framework incorporating decision makers' risk perceptions. The inspection and repair planning are formulated as a multiobjective optimization problem, i.e., simultaneously minimizing the expected maintenance cost and expected failure cost. Monte Carlo simulation is employed to calculate the distribution of maintenance and failure costs. To be consistent with bridge maintenance practices, both preventative and essential maintenance are considered, where the maintenance action is dependent on the load rating factor of individual bridge components. Utility theory and cumulative prospect theory are used to model decision makers' risk preference among the Pareto front solutions. The cost-benefit implications of the Pareto front in terms of maintenance and failure costs, in conjunction with the preference solutions provided by utility theory and cumulative prospect theory, assist in the selection of the optimal bridge maintenance solution. The developed framework is illustrated on an in-service highway bridge.
科研通智能强力驱动
Strongly Powered by AbleSci AI