2007
DOI: 10.1002/nme.2234
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On the modelling of non‐linear kinematic hardening at finite strains with application to springback—Comparison of time integration algorithms

Abstract: SUMMARYThe paper discusses the derivation and the numerical implementation of a finite strain material model for non-linear kinematic and isotropic hardening. The kinematic hardening component represents a continuum extension of the classical rheological model of Armstrong-Frederick kinematic hardening. In addition, a comparison between several numerical algorithms for the integration of the evolution equations is conducted. In particular, a new form of the exponential map that preserves the plastic volume and… Show more

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Cited by 146 publications
(142 citation statements)
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“…In a recent paper [8] we have introduced a new form of the exponential map algorithm which is characterized by the fact that it fulfills plastic incompressibility and preserves the symmetry of the internal variables.…”
Section: Algorithmic Implementationmentioning
confidence: 99%
“…In a recent paper [8] we have introduced a new form of the exponential map algorithm which is characterized by the fact that it fulfills plastic incompressibility and preserves the symmetry of the internal variables.…”
Section: Algorithmic Implementationmentioning
confidence: 99%
“…The model equations are completed by the usual Kuhn-Tucker conditions and are numerically implemented in the reference configuration (see [3]). …”
Section: Application To Finite Strain Hyperelastic-plasticitymentioning
confidence: 99%
“…Exploiting the dissipation inequality leads to the important result that all tensor-valued internal variables are symmetric. Thus, the integration of the evolution equations can be efficiently performed by means of a newly-developed form of the exponential map algorithm [9] based on an implicit time integration scheme. It automatically satisfies plastic incompressibility in every time step, and in addition, has the advantage of retaining the symmetry of the internal variables.…”
Section: Introductionmentioning
confidence: 99%