异质介质中平流主导问题的 MsFEM:通过不符变体实现稳定

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Computer Methods in Applied Mechanics and Engineering Pub Date : 2024-11-12 DOI:10.1016/j.cma.2024.117496
Rutger A. Biezemans , Claude Le Bris , Frédéric Legoll , Alexei Lozinski
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引用次数: 0

摘要

我们通过多尺度有限元方法(Multiscale Finite Element Method,MsFEM)研究了具有高度振荡系数和可能主导平流项的平流扩散方程的数值近似。多尺度有限元法是一种经典的有限元方法,它在问题相关的基集上执行 Galerkin 近似,而基集本身是在离线阶段预先计算的。这里采用的是局部解决扩散和平流项的基函数。还提出了具有额外气泡函数和可能的弱元素间连续性的变体。通过一些理论论证和一组全面的数值实验,可以研究和比较这些方法的稳定性和准确性。结果表明,所构建的最佳方法适用于以扩散和平流为主的情况,并且不依赖于必须适当调整的辅助稳定参数。
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MsFEM for advection-dominated problems in heterogeneous media: Stabilization via nonconforming variants
We study the numerical approximation of advection–diffusion equations with highly oscillatory coefficients and possibly dominant advection terms by means of the Multiscale Finite Element Method (MsFEM). The latter method is a now classical, finite element type method that performs a Galerkin approximation on a problem-dependent basis set, itself precomputed in an offline stage. The approach is implemented here using basis functions that locally resolve both the diffusion and the advection terms. Variants with additional bubble functions and possibly weak inter-element continuity are proposed. Some theoretical arguments and a comprehensive set of numerical experiments allow to investigate and compare the stability and the accuracy of the approaches. The best approach constructed is shown to be adequate for both the diffusion- and advection-dominated regimes, and does not rely on an auxiliary stabilization parameter that would have to be properly adjusted.
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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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