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

作　　者：李守巨 邵龙潭 王吉喆 刘迎曦 

机构地区：[1]State Key Laboratory of Structural Analysis for Industrial Equipment(Dalian University of Technology) [2]The Second Affiliated Hospital of Dalian Medical University

出　　处：《Journal of Central South University》2012年第6期1764-1770,共7页中南大学学报（英文版）

基　　金：Project(2007CB714006) supported by the National Basic Research Program of China; Project(90815023) supported by the National Natural Science Foundation of China

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.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.

关 键 词：parameter estimation real-coded genetic algorithm tri-dimensional compression test gradient-based optimization 

分 类 号：TU411[建筑科学—岩土工程]