期刊
RELIABILITY ENGINEERING & SYSTEM SAFETY
卷 96, 期 2, 页码 332-349出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.ress.2010.09.001
关键词
Bridge network; Transportation network; Life-cycle; Time-dependent reliability; Maintenance optimization
资金
- National Science Foundation [CMS-0639428]
- Commonwealth of Pennsylvania, Department of Community and Economic Development, through the Pennsylvania Infrastructure Technology Alliance (PITA)
- U.S. Federal Highway Administration [DTFH61-07-H-00040]
- U.S. Office of Naval Research [N-00014-08-0188]
This paper presents a probabilistic computational framework for the Pareto optimization of the preventive maintenance applications to bridges of a highway transportation network. The bridge characteristics are represented by their uncertain reliability index profiles. The in/out of service states of the bridges are simulated taking into account their correlation structure. Multi-objective Genetic Algorithms have been chosen as numerical tool for the solution of the optimization problem. The design variables of the optimization are the preventive maintenance schedules of all the bridges of the network. The two conflicting objectives are the minimization of the total present maintenance cost and the maximization of the network performance indicator. The final result is the Pareto front of optimal solutions among which the managers should chose, depending on engineering and economical factors. A numerical example illustrates the application of the proposed approach. (C) 2010 Elsevier Ltd. All rights reserved.
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