Release Time:2019-03-09  Hits:

Indexed by: Journal Article

Date of Publication: 2012-06-01

Journal: JOURNAL OF CENTRAL SOUTH UNIVERSITY

Included Journals: SCIE

Volume: 19

Issue: 6

Page Number: 1764-1770

ISSN: 2095-2899

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

Abstract: 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.