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    Modeling and Identification of Inelastic Systems Using the Endochronic Model

    Source: Journal of Applied Mechanics:;1998:;volume( 065 ):;issue: 002::page 513
    Author:
    Dar-Yun Chiang
    DOI: 10.1115/1.2789084
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: An effective modeling method is proposed for the endochronic model based on the concept of plastic equilibrium points, which reduces the number of parameters involved and greatly simplifies the modeling process for practical applications. A systematic, optimization-based parameter estimation procedure for the proposed class of endochronic models is also presented for identification studies. Validity of the proposed modeling technique in both modeling and identification of inelastic systems is demonstrated by biaxial tension-torsion applications using experimental results available in the literature.
    keyword(s): Modeling , Optimization , Parameter estimation , Tension , Equilibrium (Physics) AND Torsion ,
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      Modeling and Identification of Inelastic Systems Using the Endochronic Model

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    http://yetl.yabesh.ir/yetl1/handle/yetl/119955
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    contributor authorDar-Yun Chiang
    date accessioned2017-05-08T23:55:44Z
    date available2017-05-08T23:55:44Z
    date copyrightJune, 1998
    date issued1998
    identifier issn0021-8936
    identifier otherJAMCAV-26443#513_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/119955
    description abstractAn effective modeling method is proposed for the endochronic model based on the concept of plastic equilibrium points, which reduces the number of parameters involved and greatly simplifies the modeling process for practical applications. A systematic, optimization-based parameter estimation procedure for the proposed class of endochronic models is also presented for identification studies. Validity of the proposed modeling technique in both modeling and identification of inelastic systems is demonstrated by biaxial tension-torsion applications using experimental results available in the literature.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleModeling and Identification of Inelastic Systems Using the Endochronic Model
    typeJournal Paper
    journal volume65
    journal issue2
    journal titleJournal of Applied Mechanics
    identifier doi10.1115/1.2789084
    journal fristpage513
    journal lastpage518
    identifier eissn1528-9036
    keywordsModeling
    keywordsOptimization
    keywordsParameter estimation
    keywordsTension
    keywordsEquilibrium (Physics) AND Torsion
    treeJournal of Applied Mechanics:;1998:;volume( 065 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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