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    Convexity of Yield Surface with Directional Distortional Hardening Rules

    Source: Journal of Engineering Mechanics:;2010:;Volume ( 136 ):;issue: 004
    Author:
    Jiri Plesek
    ,
    Heidi P. Feigenbaum
    ,
    Yannis F. Dafalias
    DOI: 10.1061/(ASCE)EM.1943-7889.0000077
    Publisher: American Society of Civil Engineers
    Abstract: The present paper examines the convexity of the yield surface in the directional distortional hardening models by Feigenbaum and Dafalias. In these models anisotropy develops through kinematic and directional distortional hardening, supplemented by the classical isotropic hardening, and the associative flow rule is used. However, the issue of convexity, which naturally arises due to the distortion of the yield surface, was not fully addressed. The present paper derives the necessary and sufficient conditions to ensure convexity of the yield surface for the simpler Feigenbaum and Dafalias models, but it is not as straightforward to derive corresponding conditions for convexity of the Feigenbaum and Dafalias model version which contains an evolving fourth-order tensor. In this case convexity will be addressed first in general and then at the limit state for which simple restrictions on the material constants to ensure convexity are derived. Numerical examples will show that some of the yield surfaces simulated in the original Feigenbaum and Dafalias publication will not stay convex if loaded beyond what was done in these publications. Therefore the material constants for these cases are recalibrated based on the derived relations for satisfaction of the convexity requirement, and the fitting of the yield surfaces is repeated with the new set of constants and compared with the previous case.
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      Convexity of Yield Surface with Directional Distortional Hardening Rules

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    contributor authorJiri Plesek
    contributor authorHeidi P. Feigenbaum
    contributor authorYannis F. Dafalias
    date accessioned2017-05-08T21:43:13Z
    date available2017-05-08T21:43:13Z
    date copyrightApril 2010
    date issued2010
    identifier other%28asce%29em%2E1943-7889%2E0000087.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/60527
    description abstractThe present paper examines the convexity of the yield surface in the directional distortional hardening models by Feigenbaum and Dafalias. In these models anisotropy develops through kinematic and directional distortional hardening, supplemented by the classical isotropic hardening, and the associative flow rule is used. However, the issue of convexity, which naturally arises due to the distortion of the yield surface, was not fully addressed. The present paper derives the necessary and sufficient conditions to ensure convexity of the yield surface for the simpler Feigenbaum and Dafalias models, but it is not as straightforward to derive corresponding conditions for convexity of the Feigenbaum and Dafalias model version which contains an evolving fourth-order tensor. In this case convexity will be addressed first in general and then at the limit state for which simple restrictions on the material constants to ensure convexity are derived. Numerical examples will show that some of the yield surfaces simulated in the original Feigenbaum and Dafalias publication will not stay convex if loaded beyond what was done in these publications. Therefore the material constants for these cases are recalibrated based on the derived relations for satisfaction of the convexity requirement, and the fitting of the yield surfaces is repeated with the new set of constants and compared with the previous case.
    publisherAmerican Society of Civil Engineers
    titleConvexity of Yield Surface with Directional Distortional Hardening Rules
    typeJournal Paper
    journal volume136
    journal issue4
    journal titleJournal of Engineering Mechanics
    identifier doi10.1061/(ASCE)EM.1943-7889.0000077
    treeJournal of Engineering Mechanics:;2010:;Volume ( 136 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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