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    Calibration of Soil Model Parameters Using Particle Swarm Optimization

    Source: International Journal of Geomechanics:;2012:;Volume ( 012 ):;issue: 003
    Author:
    J. Sadoghi Yazdi
    ,
    F. Kalantary
    ,
    H. Sadoghi Yazdi
    DOI: 10.1061/(ASCE)GM.1943-5622.0000142
    Publisher: American Society of Civil Engineers
    Abstract: 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 (
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      Calibration of Soil Model Parameters Using Particle Swarm Optimization

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    https://yetl.yabesh.ir/yetl1/handle/yetl/61541
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    • International Journal of Geomechanics

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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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