基于改进微粒群算法的带有软水管的混凝土热学参数反分析  

Back analysis of concrete thermal parameters with soft pipe based on improved particle swarm optimization

作　　者：芦琴[1] 李亚敏[2] 

机构地区：[1]杨凌职业技术学院水利工程学院,陕西杨凌712100 [2]河南建筑职业技术学院土木工程学院,河南郑州450007

出　　处：《河北大学学报（自然科学版）》2012年第4期353-357,共5页Journal of Hebei University(Natural Science Edition)

基　　金：国家"863"计划项目(2002AA62Z3191)

摘　　要：埋设冷却水管是常用的混凝土温控措施之一,塑料质水管由于铺设快捷、接头方便、价格便宜而得到广泛应用,但其在温控防裂分析计算中热分析参数很难确定.根据曹娥江大闸施工现场实测的温度值,利用改进微粒群算法对大闸混凝土温度场进行反演计算,并将计算值和实测值进行对比,分析计算结果的合理性,得到反映混凝土热学性能的参数.反演结果表明,微粒群算法作为一种优化算法,具有收敛速度快、效果好等特点.Burying cooling pipes is one of common used measures of concrete temperature control, plastic pipes are widely used for laying rapidly, jointing conveniently, cheap, but the thermal analysis parameters is difficult to determine in the calculate of crack prevention analysis. Based on the actual measured temperature of Cao＇e River Gate, using improved particle swarm optimization, this article did back analysis about the gate concrete temperature field and compared the calculate numerical with the actual measured numerical, analyzed the result rationality, at last the parameter reflect concrete thermal performance was gotten. Back analysis results show that as one of optimization methods, particle swarm optimization is simple and highly efficient.

关 键 词：粒子群算法 温控 反演分析 

分 类 号：TV315[水利工程—水工结构工程]