4.7 Article

Nonlocal implicit gradient-enhanced elasto-plasticity for the modelling of softening behaviour

Journal

INTERNATIONAL JOURNAL OF PLASTICITY
Volume 19, Issue 4, Pages 403-433

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/S0749-6419(01)00042-0

Keywords

ductility; elastic-plastic material; finite elements; numerical algorithms; gradient elasto-plasticity

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An improved gradient-enhanced approach for softening elasto-plasticity is proposed, which in essence is fully nonlocal, i.e. an equivalent integral nonlocal format exists. The method utilises a nonlocal field variable in its constitutive framework, but in contrast to the integral models computes this nonlocal field with a gradient formulation. This formulation is considered 'implicit' in the sense that it strictly incorporates the higher-order gradients of the local field variable indirectly, unlike the common (explicit) gradient approaches. Furthermore, this implicit gradient formulation constitutes an additional partial differential equation (PDE) of the Helmholtz type, which is solved in a coupled fashion with the standard equilibrium condition. Such an approach is particularly advantageous since it combines the long-range interactions of an integral (nonlocal) model with the computational efficiency of a gradient formulation. Although these implicit gradient approaches have been successfully applied within damage mechanics, e.g. for quasi-brittle materials, the first attempts were deficient for plasticity. On the basis of a thorough comparison of the gradient-enhancements for plasticity and damage this paper rephrases the problem, which leads to a formulation that overcomes most reported problems. The two-dimensional finite element implementation for geometrically linear plain strain problems is presented. One- and two-dimensional numerical examples demonstrate the ability of this method to numerically model irreversible deformations, accompanied by the intense localisation of deformation and softening up to complete failure. (C) 2002 Elsevier Science Ltd. All rights reserved.

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