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Elastoplastic analysis of mises metal by return-mapping algorithm for extended subloading surface model

Authors: Anjiki, Takuya; Masanori, Oka; Hashiguchi, Koichi;

Elastoplastic analysis of mises metal by return-mapping algorithm for extended subloading surface model

Abstract

The extended subloading surface model is capable of representing not only monotonic but also cyclic loading behaviors accurately. The various return-mapping methods have been adopted to for the elastoplastic deformation analysis in FEM incorporating the subloading surface model. However, the past algorithms based on the expansion of the subloading surface is inapplicable to the cyclic loading behaviors. Then, the rigorous complete integration algorithm for Mises metal is adopted in this study. Additionally, it is implemented into the FEM software ABAQUS through the user-subroutine UMAT. The numerical calculations are performed for the forward and inverse loading processes by use of the proposed and the past implicit algorithms. A more accurate elastoplastic deformation analyses can be conducted by the proposed algorithm. Thus, it may be stated that the accurate numerical solution can be attained by adopting the proposed return-mapping algorithm for the general loading process.

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Spain
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Keywords

Finite element method, Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Mètodes en elements finits, Elements finits, Mètode dels, Finite Element Method, Return-mapping, Subloading Surface Model, Consistent Tangent Modulus Tensor, Metal, Coupled problems (Complex systems) -- Numerical solutions, :Matemàtiques i estadística::Anàlisi numèrica::Mètodes en elements finits [Àrees temàtiques de la UPC]

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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