Robust augmented mixed FEMs for stokes interface problems with discontinuous viscosity in multiple subdomains

IF 2.5 2区 数学 Q1 MATHEMATICS, APPLIED
Yuxiang Liang , Shun Zhang
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Abstract

A stationary Stokes problem with a piecewise constant viscosity coefficient with several subdomains is considered in the paper. For standard finite element pairs, a robust inf-sup condition is required to show the robustness of the discretization error with respect to the discontinuous viscosity, which has only been proven for the two-subdomain case in the paper [Numer. Math. (2006) 103: 129–149]. To avoid the robust inf-sup condition of a discrete finite element pair for multiple subdomains, we propose an ultra-weak augmented mixed finite element formulation. By adopting a Galerkin-least-squares method, the augmented mixed formulation can achieve stability without relying on the inf-sup condition in both continuous and discrete settings. The key step to have the robust a priori error estimate is that two norms, one energy norm and one full norm, are used in the robust continuity. The robust coercivity is proved for the energy norm. A robust a priori error estimate in the energy norm is then derived with the best approximation property in the full norm for the case of multiple subdomains. Additionally, the paper introduces a singular Kellogg-type example with exact solutions for the first time. Extensive numerical tests are conducted to validate the robust error estimate.
多子域不连续黏度stokes界面问题的鲁棒增广混合fem
研究了一类具有分段常粘系数的多子域平稳Stokes问题。对于标准有限元对,需要一个鲁棒性的支撑条件来表明离散误差相对于不连续黏性的鲁棒性,这在论文中只在两子域情况下得到了证明。数学。[j].自然科学进展(2006)(3):129-149。为了避免多子域离散有限元对的鲁棒互补条件,提出了一种超弱增广混合有限元公式。通过采用伽辽金最小二乘法,增广混合公式在连续和离散条件下都可以不依赖于中馈条件而实现稳定性。得到鲁棒先验误差估计的关键步骤是在鲁棒连续性中使用两个范数,一个能量范数和一个满范数。证明了能量范数的鲁棒矫顽力。然后,在多子域情况下,导出了能量范数中具有最佳近似性质的鲁棒先验误差估计。此外,本文还首次引入了具有精确解的奇异kellogg型实例。进行了大量的数值试验来验证误差估计的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computers & Mathematics with Applications
Computers & Mathematics with Applications 工程技术-计算机:跨学科应用
CiteScore
5.10
自引率
10.30%
发文量
396
审稿时长
9.9 weeks
期刊介绍: Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).
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