A probabilistic computational framework for bridge network optimal maintenance scheduling

被引：90

作者：

Bocchini, Paolo ^{[1
]}

Frangopol, Dan M. ^{[1
]}

机构：

[1] Lehigh Univ, ATLSS Engn Res Ctr, Dept Civil & Environm Engn, Bethlehem, PA 18015 USA

来源：

RELIABILITY ENGINEERING & SYSTEM SAFETY | 2011年 / 96卷 / 02期

基金：

美国国家科学基金会;

关键词：

Bridge network; Transportation network; Life-cycle; Time-dependent reliability; Maintenance optimization; LIFE-CYCLE MAINTENANCE; GENETIC ALGORITHM; RELIABILITY; MANAGEMENT; PROFILES; MODELS; DAMAGE; COST;

D O I：

10.1016/j.ress.2010.09.001

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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.

引用

页码：332 / 349

页数：18

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