对流扩散方程的约束能量最小化广义多尺度有限元法

IF 1.9 4区 数学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Lina Zhao, Eric Chung
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引用次数: 0

摘要

本文提出并分析了对流扩散方程的约束能量最小化广义多尺度有限元方法。为了定义多尺度基函数,我们首先通过求解由分析驱动的局部谱问题来构建辅助的多尺度空间。然后利用过采样域的约束能量最小化来构造多尺度空间。所得到的多尺度基函数即使在高对比度扩散系数和对流系数下也具有良好的衰减特性。此外,如果选择适当的过采样层数,我们可以证明收敛速度与粗网格尺寸成正比。我们的分析还表明,过采样域的大小对非均质系数的对比依赖性较弱。几个数值实验说明了我们的方法的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Constraint Energy Minimizing Generalized Multiscale Finite Element Method for Convection Diffusion Equation
In this paper we present and analyze a constraint energy minimizing generalized multiscale finite element method for convection diffusion equations. To define the multiscale basis functions, we first build an auxiliary multiscale space by solving local spectral problems motivated by analysis. Then a constraint energy minimization performed in the oversampling domains is exploited to construct the multiscale space. The resulting multiscale basis functions have a good decay property even for high contrast diffusion and convection coefficients. Furthermore, if the number of oversampling layers is chosen properly, we can prove that the convergence rate is proportional to the coarse meshsize. Our analysis also indicates that the size of the oversampling domain weakly depends on the contrast of the heterogeneous coefficients. Several numerical experiments are presented illustrating the performance of our method.
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来源期刊
Multiscale Modeling & Simulation
Multiscale Modeling & Simulation 数学-数学跨学科应用
CiteScore
2.80
自引率
6.20%
发文量
45
审稿时长
6-12 weeks
期刊介绍: Centered around multiscale phenomena, Multiscale Modeling and Simulation (MMS) is an interdisciplinary journal focusing on the fundamental modeling and computational principles underlying various multiscale methods. By its nature, multiscale modeling is highly interdisciplinary, with developments occurring independently across fields. A broad range of scientific and engineering problems involve multiple scales. Traditional monoscale approaches have proven to be inadequate, even with the largest supercomputers, because of the range of scales and the prohibitively large number of variables involved. Thus, there is a growing need to develop systematic modeling and simulation approaches for multiscale problems. MMS will provide a single broad, authoritative source for results in this area.
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