International Journal of Geomechanics, ( ISI ), Volume (12), No (3), Year (2012-5) , Pages (229-238)

Title : ( Calibration of Soil Model Parameters Using Particle Swarm Optimization )

Authors: J. Sadoghi Yazdi , F. Kalantary , Hadi Sadoghi Yazdi ,

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In this paper, a neuro-fuzzy model in conjunction with particle swarm optimization (PSO) are used for calibration of soil parameters used within a linear elastic-hardening plastic constitutive model with the Drucker-Prager yield criterion. The neuro-fuzzy system is used to provide a nonlinear regression between the deviatoric stress and axial strain (σd−ε) obtained from a consolidated drained triaxial test on samples of poorly graded sand. The soil model parameters are determined in an iterative optimization loop with PSO and an adaptive network based on a fuzzy inference system such that the equations of the linear elastic model and (where appropriate) the hardening Drucker-Prager yield criterion are simultaneously satisfied. It is shown that the model parameters can be determined with relatively high accuracy in spite of the limited insight gained by a single set of data. To verify the robustness of the technique, a second set of data obtained under different confining pressures is then used in a separate run. The outcome shows a close match with the same order of accuracy.


, Neuro-fuzzy inference system, Particle swarm optimization, Drucker-Prager yield criterion, Soil parameters
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author = {J. Sadoghi Yazdi and F. Kalantary and Sadoghi Yazdi, Hadi},
title = {Calibration of Soil Model Parameters Using Particle Swarm Optimization},
journal = {International Journal of Geomechanics},
year = {2012},
volume = {12},
number = {3},
month = {May},
issn = {1532-3641},
pages = {229--238},
numpages = {9},
keywords = {Neuro-fuzzy inference system; Particle swarm optimization; Drucker-Prager yield criterion; Soil parameters},


%0 Journal Article
%T Calibration of Soil Model Parameters Using Particle Swarm Optimization
%A J. Sadoghi Yazdi
%A F. Kalantary
%A Sadoghi Yazdi, Hadi
%J International Journal of Geomechanics
%@ 1532-3641
%D 2012