基于粒子群算法的混凝土湿度场特征参数反演  

Inverse Analysis of Characteristic Parameters for Concrete Humidity Field Based on Particle Swarm Optimization

作　　者：杨谈蜀[1] 胡磊[1] 郭磊[2] 

机构地区：[1]洛阳理工学院土木工程系,河南洛阳471023 [2]华北水利水电学院土木系,河南郑州450011

出　　处：《水电能源科学》2010年第3期115-117,56,共4页Water Resources and Power

摘　　要：基于室内试验实测的湿度值,结合粒子群算法与三维有限元仿真计算程序反演了混凝土试块湿度场,获得了表征混凝土湿度消耗与扩散性能的特征参数,并对比了反演计算值与实测值,两者变化规律吻合,数值最大误差仅3.5%。实例结果表明,该方法精度较高、合理可靠、适用性强,值得推广。Based on the measured humidity value in indoor test, this paper carries out the inverse analysis of concrete humidity field parameters with the combination of particle swarm optimization with 3D FEM simulation program. Parameters represented for the concrete humidity consumption and diffusion characteristics are obtained. The calculation results coincides with the measured value and the maximum error is only about 3.50//oo. The example results show that the proposed method has high precision, reliable and well-adapted, which is worth to be spread.

关 键 词：粒子群优化算法 混凝土 湿度场 扩散特征参数 反演分析 

分 类 号：TV315[水利工程—水工结构工程] TP301.6[自动化与计算机技术—计算机系统结构]