水文地质工程地质2001，Vol.28Issue(2)：14-17,4.
土体渗流固结参数识别方法
Estimation of soil parameters under consolidation based genetic algorithm
摘要
Abstract
According to the data of pore water pressure monitored in the field under consolidation, the non-linear estimation procedure of soil parameters was researched based on the genetic algorithm in the paper. It was successfully overcome that there were some problems of the local minima and non-convergence in the classic Gauss-Newton minimization and the least square method because the genetic algorithm is global convergent, to usually achieve computational efficiency, and to have some level of robustness against entrapment in local minima. The premature convergence problem in the GA was also avoided through adjusting to fitting function. The tenmination criteria of iteration was firstly proposed according to the observing precision of the equipment. The computational results fact that the non-linear inversion procedure proposed is global convergent, to have faster computational efficiency, and stronger stability.关键词
遗传算法/参数识别/全局优化/孔隙水压力/固结系数分类
建筑与水利引用本文复制引用
李守巨,刘迎曦,王登刚..土体渗流固结参数识别方法[J].水文地质工程地质,2001,28(2):14-17,4.
