Numerical integration in the virtual element method with the scaled boundary cubature scheme

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY International Journal for Numerical Methods in Engineering Pub Date : 2024-07-04 DOI:10.1002/nme.7549
Eric B. Chin, Franco Dassi, Gianmarco Manzini, N. Sukumar
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Abstract

The virtual element method (VEM) is a stabilized Galerkin method on meshes that consist of arbitrary (convex and nonconvex) polygonal and polyhedral elements. A crucial ingredient in the implementation of low- and high-order VEM is the numerical integration of monomials and nonpolynomial functions over such elements. In this article, we apply the recently proposed scaled boundary cubature (SBC) scheme to compute the weak form integrals in various virtual element formulations over polygonal and polyhedral meshes. In doing so, we demonstrate the flexibility of the approach and the accuracy that it delivers on a broad suite of boundary-value problems in 2D and 3D over polytopes with affine faces as well as on elements with curved boundaries. In addition, the use of the SBC scheme is exemplified in an enriched Poisson formulation of the VEM in which weakly singular functions are required to be integrated. This study establishes the SBC method as a simple, accurate and efficient integration scheme for use in the VEM.

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虚拟元素法中的数值积分与比例边界立体方案
虚拟元素法(VEM)是在由任意(凸和非凸)多边形和多面体元素组成的网格上的一种稳定伽勒金方法。实施低阶和高阶 VEM 的一个关键要素是对这些元素上的单项式和非多项式函数进行数值积分。在本文中,我们应用最近提出的缩放边界立方(SBC)方案,在多边形和多面体网格上计算各种虚拟元素公式中的弱形式积分。在此过程中,我们展示了该方法的灵活性,以及它在具有仿射面的多面体上和具有弯曲边界的元素上处理各种二维和三维边界值问题时的精确性。此外,SBC 方案还在 VEM 的丰富泊松公式中得到了应用,其中需要对弱奇异函数进行积分。这项研究确定了 SBC 方法是用于 VEM 的一种简单、精确和高效的积分方案。
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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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