Self-stabilized virtual element modeling of 2D mixed-mode cohesive crack propagation in isotropic elastic solids

IF 7.3 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Computer Methods in Applied Mechanics and Engineering Pub Date : 2025-03-10 DOI:10.1016/j.cma.2025.117880
Y. Chen , D. Sun , Q. Li , U. Perego
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Abstract

A comprehensive strategy for the simulation of mixed-mode cohesive crack propagation in a mesh of originally self-stabilized Virtual Elements (VEs) is proposed. Exploiting the VEs substantial insensitivity to mesh distortion, the propagating cohesive crack is accommodated within existing self-stabilized first-order quadrilateral VEs by simply adding new edges separated by a cohesive interface. The added edges make however the VE unstable and a new procedure for the stabilization of initially stable VE is developed. The method is formulated within a recently proposed Hu–Washizu variational framework, allowing for a higher order, independent modeling of stresses. In this way, a more accurate estimate of the stress at the tip of the cohesive process zone can be achieved allowing for a more accurate assessment of crack propagation conditions and direction. The proposed method is validated by application to several benchmark problems.
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各向同性弹性固体中二维混模内聚裂纹扩展的自稳定虚拟元建模
提出了一种基于自稳定虚拟元(VEs)网格的混合模式内聚裂纹扩展模拟综合策略。利用ve对网格变形的不敏感性,通过简单地添加由内聚界面分隔的新边,将扩展的内聚裂纹容纳在现有的自稳定一阶四边形ve中。然而,增加的边使初始稳定的方程变得不稳定,并提出了初始稳定方程的稳定化方法。该方法是在最近提出的Hu-Washizu变分框架内制定的,允许高阶,独立的应力建模。通过这种方式,可以更准确地估计黏聚过程区尖端的应力,从而更准确地评估裂纹扩展条件和方向。通过若干基准问题的应用验证了该方法的有效性。
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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
期刊介绍: Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.
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