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مجله بین المللی پلاستیسیته
جزئیات رویداد
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  • a finite strain kinematic hardening constitutive model based on hencky strain: general framework, solution algorithm and application to shape memory alloys

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    • تاریخ ارائه: 1390/01/01
    • تاریخ انتشار در تی پی بین: 1390/01/01
    • تعداد بازدید: 823
    • تعداد پرسش و پاسخ ها: 0
    • شماره تماس دبیرخانه رویداد: -
     the logarithmic or hencky strain measure is a favored measure of strain due to its remarkable properties in large deformation problems. compared with other strain measures, e.g., the commonly used green–lagrange measure, logarithmic strain is a more physical measure of strain. in this paper, we present a hencky-based phenomenological finite strain kinematic hardening, non-associated constitutive model, developed within the framework of irreversible thermodynamics with internal variables. the derivation is based on the multiplicative decomposition of the deformation gradient into elastic and inelastic parts, and on the use of the isotropic property of the helmholtz strain energy function. we also use the fact that the corotational rate of the eulerian hencky strain associated with the so-called logarithmic spin is equal to the strain rate tensor (symmetric part of the velocity gradient tensor). satisfying the second law of thermodynamics in the clausius–duhem inequality form, we derive a thermodynamically-consistent constitutive model in a lagrangian form. in comparison with the available finite strain models in which the unsymmetric mandel stress appears in the equations, the proposed constitutive model includes only symmetric variables. introducing a logarithmic mapping, we also present an appropriate form of the proposed constitutive equations in the time-discrete frame. we then apply the developed constitutive model to shape memory alloys and propose a well-defined, non-singular definition for model variables. in addition, we present a nucleation-completion condition in constructing the solution algorithm. we finally solve several boundary value problems to demonstrate the proposed model features as well as the numerical counterpart capabilities.

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