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论文类型：期刊论文

发表时间：2012-06-01

发表刊物：JOURNAL OF CENTRAL SOUTH UNIVERSITY

收录刊物：SCIE

卷号：19

期号：6

页面范围：1764-1770

ISSN号：2095-2899

关键字：parameter estimation; real-coded genetic algorithm; tri-dimensional compression test; gradient-based optimization

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.