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An adaptive least-squares mixed finite element method for elasto-plasticity

机译:弹性弹塑性的自适应最小二乘混合有限元方法

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摘要

A least-squares mixed finite element method for the incremental formulation of elasto-plasticity using a plastic flow rule of von Mises type with isotropic hardening is presented. This approach is based on the use of the stress tensor, in addition to the displacement field, as independent process variables. The nonlinear least-squares functional is shown to constitute an a posteriori error estimator on which an adaptive refinement strategy may be based. For the finite element implementation under plane strain conditions, quadratic (i.e., next-to-lowest-order) Raviart-Thomas elements are used for the stress approximation, while the displacement is represented by standard quadratic conforming elements. Computational results for a benchmark problem of elasto-plasticity under plane strain conditions are presented in order to illustrate the effectiveness of the least-squares approach.
机译:提出了一种最小二乘混合有限元方法,利用冯·米塞斯(von Mises)型塑性流动规则并具有各向同性的硬化作用来增量公式化弹塑性。除了位移场之外,该方法还基于应力张量的使用作为独立的过程变量。非线性最小二乘函数被显示为构成后验误差估计器,自适应细化策略可基于该后验误差估计器。对于在平面应变条件下的有限元实现,将二次(即次低阶)Raviart-Thomas单元用于应力近似,而位移则由标准二次形单元表示。为了说明最小二乘方法的有效性,提出了在平面应变条件下的弹塑性基准问题的计算结果。

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