基于遗传算法的泵站混凝土热学参数反演分析  

Back Analysis of Concrete Thermal Parameters in Pump Station Based on Genetic Algorithms

作　　者：马跃峰[1] 肖志乔 朱岳明[1] 

机构地区：[1]河海大学水利水电工程学院,江苏南京210098 [2]上海市水利工程设计研究院,上海200063

出　　处：《水电能源科学》2005年第6期31-33,共3页Water Resources and Power

基　　金：水利部科技创新重点项目资助(SCXC2003-10);河海大学院士学科发展基金资助(HHUYS003)

摘　　要：根据施工现场实测资料,在温度场三维有限元仿真计算的基础上,运用遗传算法对泵站混凝土的热学参数进行反演分析。反演结果表明,计算值与实测值较接近,误差较小;反演结果可靠,且反演收敛速度快,效率高。The selection of concrete thermal parameters is key component in the calculation of concrete temperature and thermal stresses.There are many influencing factors about the thermal parameters,and these factors are generally uncertain.Based on the actual data measured in the field and the 3-D finite element method of concrete temperature simulation,the present paper uses genetic algorithms in back analysis of the concrete thermal parameters for pump station,good result is achieved.As one kind of optimization methods,the genetic algorithms are simple and universal,and also have the characteristic of good adaptability.The resultshows the high efficiency of genetic algorithms in the back analysis of concrete thermal parameters.

关 键 词：泵站 混凝土 热学参数 反演分析 遗传算法 

分 类 号：TV315[水利工程—水工结构工程]