Anisotropic variational mesh adaptation for embedded finite element methods

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Computer Methods in Applied Mechanics and Engineering Pub Date : 2024-11-16 DOI:10.1016/j.cma.2024.117504
Saman Rahmani, Joan Baiges, Javier Principe
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Abstract

Embedded or immersed boundary methods (IBM) are powerful mesh-based techniques that permit to solve partial differential equations (PDEs) in complex geometries circumventing the need of generating a mesh that fits the domain boundary, which is indeed very difficult and has been the main bottleneck of the simulation pipeline for decades. Embedded methods exploit a simple background mesh that covers the domain and the difficulties are (1) the imposition of boundary conditions, (2) the ill-conditioning generated by poorly intersected elements and (3) the lack of resolution required in boundary layers. Whereas several methods are available in the literature to address the first two difficulties, the third one still deserves attention. Meshless methods, Chimera grids or adaptive h or p-refinement strategies have been proposed but none of them include alignment techniques.
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嵌入式有限元方法的各向异性变分网格调整
嵌入式或沉浸边界法(IBM)是一种强大的基于网格的技术,可用于求解复杂几何体中的偏微分方程(PDEs),避免了生成与域边界相匹配的网格这一难题,几十年来,这一直是模拟管道的主要瓶颈。嵌入式方法利用简单的背景网格来覆盖领域,其困难在于:(1) 强加边界条件;(2) 因元素相交不良而产生的条件不良;(3) 缺乏边界层所需的分辨率。虽然文献中有几种方法可以解决前两个难题,但第三个难题仍然值得关注。有人提出了无网格方法、Chimera 网格或自适应 h 或 p 细分策略,但都不包括对齐技术。
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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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