Second order three-dimensional serendipity virtual elements for hyperelasticity: Static and dynamic analysis

IF 7.3 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Bing-Bing Xu , Lourenco Beirao da Veiga , Yongjie Jessica Zhang , Peter Wriggers
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引用次数: 0

Abstract

In this work, a three-dimensional (3D) second-order serendipity virtual element method (S-VEM) is developed for the static and dynamic analysis of hyperelastic materials. The VEM framework is based on the projection of unknown basis functions onto polynomial spaces, allowing for flexible discretization with arbitrary polyhedral meshes. While most existing VEM formulations for 3D mechanical problems are discretized using first-order formulations, higher-order schemes offer improved precision, especially for nonlinear problems. However, conventional second-order VEM formulations introduce additional degrees of freedom (DOFs), such as body and surface moments, which complicate the implementation and reduce computation efficiency. To address this challenge, we propose a novel 3D second-order serendipity VEM that avoids any extra moment-related DOFs. This is the first application of a serendipity VEM to 3D static and dynamic problems in hyperelasticity. Furthermore, by integrating advanced mesh generation techniques, the proposed method enables hybrid simulations that combine second-order serendipity VEM and FEM to efficiently handle complex geometries.
超弹性的二阶三维偶然性虚元:静态和动态分析
在这项工作中,开发了一种用于超弹性材料静动力分析的三维(3D)二阶偶然性虚拟元法(S-VEM)。VEM框架基于未知基函数在多项式空间上的投影,允许任意多面体网格的灵活离散化。虽然大多数现有的三维机械问题的VEM公式是使用一阶公式离散化的,但高阶格式提供了更高的精度,特别是对于非线性问题。然而,传统的二阶VEM公式引入了额外的自由度(DOFs),如体矩和面矩,这使得实现变得复杂,降低了计算效率。为了解决这一挑战,我们提出了一种新颖的3D二阶偶发性VEM,它避免了任何额外的与力矩相关的自由度。这是意外VEM在超弹性三维静态和动态问题中的首次应用。此外,通过集成先进的网格生成技术,该方法使二阶偶然性VEM和FEM相结合的混合模拟能够有效地处理复杂的几何形状。
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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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