切割有限元法

IF 11.3 1区 数学 Q1 MATHEMATICS
Erik Burman, Peter Hansbo, Mats G. Larson, Sara Zahedi
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引用次数: 0

摘要

切削有限元法(CutFEM)将标准有限元法扩展到非拟合网格,可以在不要求网格符合的情况下精确地求解域边界和界面。这种方法保留了标准方法的关键属性和准确性,同时解决了复杂几何形状和移动界面带来的挑战。近年来,CutFEM因其在复杂几何区域中离散偏微分方程的能力而受到广泛关注。本文对CutFEM的核心概念和关键发展进行了全面的回顾,从常见模型问题的表述和基本分析结果的介绍开始,包括对所得代数系统的误差估计和条件数估计。同时还探讨了保证数值鲁棒性的切割单元稳定化技术。最后,讨论了涉及拉格朗日乘子的方法的扩展及其在时变问题上的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cut finite element methods

Cut finite element methods (CutFEM) extend the standard finite element method to unfitted meshes, enabling the accurate resolution of domain boundaries and interfaces without requiring the mesh to conform to them. This approach preserves the key properties and accuracy of the standard method while addressing challenges posed by complex geometries and moving interfaces.

In recent years, CutFEM has gained significant attention for its ability to discretize partial differential equations in domains with intricate geometries. This paper provides a comprehensive review of the core concepts and key developments in CutFEM, beginning with its formulation for common model problems and the presentation of fundamental analytical results, including error estimates and condition number estimates for the resulting algebraic systems. Stabilization techniques for cut elements, which ensure numerical robustness, are also explored. Finally, extensions to methods involving Lagrange multipliers and applications to time-dependent problems are discussed.

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来源期刊
Acta Numerica
Acta Numerica MATHEMATICS-
CiteScore
26.00
自引率
0.70%
发文量
7
期刊介绍: Acta Numerica stands as the preeminent mathematics journal, ranking highest in both Impact Factor and MCQ metrics. This annual journal features a collection of review articles that showcase survey papers authored by prominent researchers in numerical analysis, scientific computing, and computational mathematics. These papers deliver comprehensive overviews of recent advances, offering state-of-the-art techniques and analyses. Encompassing the entirety of numerical analysis, the articles are crafted in an accessible style, catering to researchers at all levels and serving as valuable teaching aids for advanced instruction. The broad subject areas covered include computational methods in linear algebra, optimization, ordinary and partial differential equations, approximation theory, stochastic analysis, nonlinear dynamical systems, as well as the application of computational techniques in science and engineering. Acta Numerica also delves into the mathematical theory underpinning numerical methods, making it a versatile and authoritative resource in the field of mathematics.
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