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contributor authorJ. Sadoghi Yazdi
contributor authorF. Kalantary
contributor authorH. Sadoghi Yazdi
date accessioned2017-05-08T21:45:23Z
date available2017-05-08T21:45:23Z
date copyrightJune 2012
date issued2012
identifier other%28asce%29gm%2E1943-5622%2E0000154.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/61541
description abstractIn 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 (
publisherAmerican Society of Civil Engineers
titleCalibration of Soil Model Parameters Using Particle Swarm Optimization
typeJournal Paper
journal volume12
journal issue3
journal titleInternational Journal of Geomechanics
identifier doi10.1061/(ASCE)GM.1943-5622.0000142
treeInternational Journal of Geomechanics:;2012:;Volume ( 012 ):;issue: 003
contenttypeFulltext


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