Inverse procedure for determining model parameter of soils using real-coded genetic algorithm

被引：8
|
作者：
Li Shou-ju [1 ]
Shao Long-tan [1 ]
Wang Ji-zhe [2 ]
Liu Ying-xi [1 ]
机构：
[1] Dalian Univ Technol, State Key Lab Struct Anal Ind Equipment, Dalian 116024, Peoples R China
[2] Dalian Med Univ, Affiliated Hosp 2, Dalian 116027, Peoples R China
来源：
JOURNAL OF CENTRAL SOUTH UNIVERSITY | 2012年 / 19卷 / 06期
基金：
中国国家自然科学基金;
关键词：
parameter estimation; real-coded genetic algorithm; tri-dimensional compression test; gradient-based optimization; IDENTIFICATION PROBLEM;
D O I：
10.1007/s11771-012-1203-2
中图分类号：
TF [冶金工业];
学科分类号：
0806 ;
摘要：
The hybrid genetic algorithm is utilized to facilitate model parameter estimation. The tri-dimensional compression tests of soil are performed to supply experimental data for identifying nonlinear constitutive model of soil. In order to save computing time during parameter inversion, a new procedure to compute the calculated strains is presented by multi-linear simplification approach instead of finite element method (FEM). The real-coded hybrid genetic algorithm is developed by combining normal genetic algorithm with gradient-based optimization algorithm. The numerical and experimental results for conditioned soil are compared. The forecast strains based on identified nonlinear constitutive model of soil agree well with observed ones. The effectiveness and accuracy of proposed parameter estimation approach are validated.
引用
收藏
页码：1764 / 1770
页数：7
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