基于纳维-斯托克斯方程 Grad-Div 稳定的并行有限元离散化算法

IF 1.2 3区 数学 Q2 MATHEMATICS, APPLIED
Yueqiang Shang, Jiali Zhu, Bo Zheng
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引用次数: 0

摘要

我们提出并研究了一种基于全重叠域分解的并行梯度-离散稳定有限元离散化算法,用于纳维-斯托克斯方程的数值模拟。该算法易于在现有顺序软件基础上实现,其中用于计算指定子区域局部解的每个子问题实际上都是一个全局问题,其自由度绝大部分来自自己的子区域,因此可以与其他子问题一起独立求解。我们利用局部先验估计的技术手段推导出近似解的误差边界,并研究了梯度稳定项对近似解的影响。通过对速度和压力的 inf-sup 稳定和不稳定混合有限元对进行数值比较,我们发现本算法比没有稳定化的算法具有惊人的优越性,即当粘度(\nu \)较小时,近似速度的精度可以提高两个数量级。与通常的标准串行梯度二维稳定有限元法相比,我们的算法在计算精度相当的解时节省了大量的 CPU 时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Parallel Finite Element Discretization Algorithm Based on Grad-Div Stabilization for the Navier–Stokes Equations

A Parallel Finite Element Discretization Algorithm Based on Grad-Div Stabilization for the Navier–Stokes Equations

A Parallel Finite Element Discretization Algorithm Based on Grad-Div Stabilization for the Navier–Stokes Equations

We present and study a parallel grad-div stabilized finite element discretization algorithm based on entire-overlapping domain decomposition for the numerical simulation of Navier–Stokes equations. The algorithm is easy to implement on top of existing sequential software, in which each subproblem used to calculate a local solution in its designated subregion is actually a global problem with vast of degrees of freedom coming from its own subregion, and hence, can be solved independently with other subproblems. We derive error bounds of the approximate solution by employing the technical tool of local a priori estimate, and investigate the effect of grad-div stabilization term on the approximation solutions. Numerical comparisons, with both inf-sup stable and unstable mixed finite elements pairs for the velocity and pressure, show that our present algorithm has an amazing superiority to its counterpart without stabilization in the sense that accuracy of the approximate velocities could be improved by two orders of magnitude when the viscosity \(\nu \) is small. While compared with the usual standard serial grad-div stabilized finite element method, our algorithm saves lots of CPU time in computing a solution with comparable accuracy.

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来源期刊
CiteScore
2.00
自引率
15.40%
发文量
97
审稿时长
>12 weeks
期刊介绍: The Journal of Mathematical Fluid Mechanics (JMFM)is a forum for the publication of high-quality peer-reviewed papers on the mathematical theory of fluid mechanics, with special regards to the Navier-Stokes equations. As an important part of that, the journal encourages papers dealing with mathematical aspects of computational theory, as well as with applications in science and engineering. The journal also publishes in related areas of mathematics that have a direct bearing on the mathematical theory of fluid mechanics. All papers will be characterized by originality and mathematical rigor. For a paper to be accepted, it is not enough that it contains original results. In fact, results should be highly relevant to the mathematical theory of fluid mechanics, and meet a wide readership.
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