拟牛顿Stokes流的混合间断Galerkin方法

IF 0.9 4区 数学 Q2 MATHEMATICS
Y. Qian, Fei Wang and Wenjing Yan
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引用次数: 0

摘要

本文介绍并分析了一类拟牛顿Stokes流的增广混合间断Galerkin(MDG)方法。在混合公式中,未知数是应变速率、应力和速度,当k≥0时,它们由不连续的分段多项式三元组PSk+1-PSk+1-PK近似。这里,应变率场和应力场的不连续分段多项式函数空间被设计为对称的。此外,通过简单的后处理可以很容易地恢复压力。为了分析的目的,我们用与应力和应变速率相关的本构方程丰富了MDG格式,从而通过非线性函数分析获得了增广公式的适定性。当k≥0时,我们得到了破H(div)-模中应力和L2-模中速度的最优收敛阶。此外,在一定条件下,L2模中的应变速率和应力以及L2模中压力的误差估计是最优的。最后,通过几个算例验证了增广MDG方法的性能,并对理论结果进行了验证。提供的数值证据表明,收敛阶数是尖锐的
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mixed Discontinuous Galerkin Method for Quasi-Newtonian Stokes Flows
In this paper, we introduce and analyze an augmented mixed discontinuous Galerkin (MDG) method for a class of quasi-Newtonian Stokes flows. In the mixed formulation, the unknowns are strain rate, stress and velocity, which are approximated by a discontinuous piecewise polynomial triplet P S k +1 - P S k +1 - P k for k ≥ 0. Here, the discontinuous piecewise polynomial function spaces for the field of strain rate and the stress field are designed to be symmetric. In addition, the pressure is easily recovered through simple postprocessing. For the benefit of the analysis, we enrich the MDG scheme with the constitutive equation relating the stress and the strain rate, so that the well-posedness of the augmented formulation is obtained by a nonlinear functional analysis. For k ≥ 0, we get the optimal convergence order for the stress in broken H ( div )-norm and velocity in L 2 -norm. Furthermore, the error estimates of the strain rate and the stress in L 2 -norm, and the pressure in L 2 -norm are optimal under certain conditions. Finally, several numerical examples are given to show the performance of the augmented MDG method and verify the theoretical results. Numerical evidence is provided to show that the orders of convergence are sharp
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来源期刊
CiteScore
1.80
自引率
0.00%
发文量
1130
审稿时长
2 months
期刊介绍: Journal of Computational Mathematics (JCM) is an international scientific computing journal founded by Professor Feng Kang in 1983, which is the first Chinese computational mathematics journal published in English. JCM covers all branches of modern computational mathematics such as numerical linear algebra, numerical optimization, computational geometry, numerical PDEs, and inverse problems. JCM has been sponsored by the Institute of Computational Mathematics of the Chinese Academy of Sciences.
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