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基于粒子群算法的劣化桥面铺装多目标组合维护策略优化研究
引用本文:彭建新,邵旭东,张建仁.基于粒子群算法的劣化桥面铺装多目标组合维护策略优化研究[J].工程力学,2011(2):205-211.
作者姓名:彭建新  邵旭东  张建仁
作者单位:长沙理工大学省部共建教育部重点实验室;湖南大学桥梁工程研究所;
基金项目:国家自然科学基金项目(51008037); 湖南省科技计划项目(2010FJ3172); 长沙理工大学桥隧重点学科创新基金项目(qs04-2010)
摘    要:发展了维护导致的间接维护成本改进模型,基于改进的桥面铺装劣化模型推导了在组合维护策略下其状态指标评估公式,建立了多目标组合维护优化模型.使用自适应粒子群优化算法,根据寿命期内维护成本现值最小化和状态指标最大化的原则,满足性能要求和预算限制约束下,优化出寿命期内成本和性能都满足要求的维护策略.以劣化水泥混凝土桥面铺装为数...

关 键 词:劣化桥面铺装  状态指标  粒子群算法  组合维护策略  多目标优化  寿命周期成本分析方法

PARTICLE SWARM ALGORITHM-BASED MULTI-OBJECTIVE COMBINATIVE OPTIMIZATION OF MAINTENANCE SCENARIOS FOR DETERIORATING WEARING SURFACES
PENG Jian-xin,SHAO Xu-dong,ZHANG Jian-ren.PARTICLE SWARM ALGORITHM-BASED MULTI-OBJECTIVE COMBINATIVE OPTIMIZATION OF MAINTENANCE SCENARIOS FOR DETERIORATING WEARING SURFACES[J].Engineering Mechanics,2011(2):205-211.
Authors:PENG Jian-xin  SHAO Xu-dong  ZHANG Jian-ren
Affiliation:PENG Jian-xin1,2,SHAO Xu-dong2,ZHANG Jian-ren1(1.Key Lab of Department of Education and Hunan Province,Changsha University of Science & Technology,Changsha,Hunan 410114,China,2.Institute of Bridge Engineering,Hunan University,Hunan 410082,China)
Abstract:Improved indirect maintenance cost models induced by maintenance action were developed.Based on a modified deterioration model of deteriorating wearing surfaces,a series of computational formulas under combinative maintenance scenario are derived to construct a multi-objective combinative maintenance planning model.The adaptive particle swarm optimization is used to optimize the optimal maintenance scenario by minimization of life-cycle maintenance cost and maximization of the structural performance satisfy...
Keywords:deteriorating wearing surfaces  condition index  particle swarm algorithm  combinative maintenance scenario  multi-objective optimization  life-cycle cost analysis method  
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