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.
出处
《水电能源科学》
北大核心
2010年第3期115-117,56,共4页
Water Resources and Power
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
particle swarm optimization
concrete
humidity field
diffusion characteristic parameters
inverse analysis
作者简介
杨谈蜀（1967-），男，讲师。研究方向为建筑结构，E-mail：yangtanshu@126．com
