基于遗传算法的混凝土热学参数反分析及其应用  

Back Analysis of Concrete Thermal Parameters and Its Application Based on Genetic Algorithms

作　　者：王振红[1] 朱岳明[1] 陈樊建[1] 于书萍[2] 

机构地区：[1]河海大学水利水电工程学院,江苏南京210098 [2]水利部河北水利水电勘测设计研究院,天津300250

出　　处：《湖南科技大学学报（自然科学版）》2007年第2期57-61,共5页Journal of Hunan University of Science And Technology：Natural Science Edition

基　　金：国家自然科学基金资助项目(50579080);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：根据曹娥江大闸施工现场实测的温度值,利用遗传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.通过这些参数,利用三维有限元仿真计算程序对施工现场混凝土温度场进行反馈计算,确定温控防裂措施,指导后续闸墩施工.反演结果表明,遗传算法作为一种优化算法,具有收敛速度快、效果好等特点.图7,表1,参11.According to the measured temperature of concrete of Caoejiang sluice during construction period,the genetic algorithms was carry out the back analysis of parameters of concrete thermal field, the calculation temperature was compared with the measured temperature and the reasonable of result for the parameters of concrete was analysied. Using these parameters, the feedback study of concrete temperature during construction was carried out by the 3-D FEM, and then the methods of temperature control and crack prevention were accepted to direct the following construction. As one kind of optimization methods, the genetic algorithms are simple and universal. The result shows that the genetic algorithm is high efficiency. 7figs., 1tab., 8refs.

关 键 词：遗传算法 温控 反演分析 反馈 温度场 

分 类 号：TV331[水利工程—水工结构工程]