Stabilization-free virtual element method for 2D elastoplastic problems

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Bing-Bing Xu, Yi-Fan Wang, Peter Wriggers
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引用次数: 0

Abstract

In this paper, a novel first- and second-order stabilization-free virtual element method is proposed for two-dimensional elastoplastic problems. In contrast to traditional virtual element methods, the improved method does not require any stabilization, making the solution of nonlinear problems more reliable. The main idea is to modify the virtual element space to allow the computation of the higher-order L 2 $$ {L}_2 $$ projection operator, ensuring that the strain and stress represent the element energy accurately. Considering the flexibility of the stabilization-free virtual element method, the elastoplastic mechanical problems can be solved by radial return methods known from the traditional finite element framework. J 2 $$ {J}_2 $$ plasticity with hardening is considered for modeling the nonlinear response. Several numerical examples are provided to illustrate the capability and accuracy of the stabilization-free virtual element method.

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二维弹塑性问题的无稳定虚拟元素法
本文针对二维弹塑性问题提出了一种新型一阶和二阶无稳定虚拟元素方法。与传统的虚拟元素方法相比,改进后的方法不需要任何稳定,从而使非线性问题的求解更加可靠。其主要思想是修改虚拟元素空间,允许计算高阶投影算子,确保应变和应力准确地表示元素能量。考虑到无稳定虚拟元素方法的灵活性,弹塑性机械问题可以用传统有限元框架中已知的径向回归方法来解决。本文提供了几个数值示例,以说明无稳定虚拟元素方法的能力和准确性。
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来源期刊
CiteScore
5.70
自引率
6.90%
发文量
276
审稿时长
5.3 months
期刊介绍: The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems. The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.
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