A parallel grad-div stabilized finite element algorithm for the Navier–Stokes equations with a nonlinear damping term

IF 1.7 4区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS International Journal for Numerical Methods in Fluids Pub Date : 2024-02-14 DOI:10.1002/fld.5267
Ye Jiang, Bo Zheng, Yueqiang Shang
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Abstract

In this work, we propose a parallel grad-div stabilized finite element algorithm for the Navier–Stokes equations attached with a nonlinear damping term, using a fully overlapping domain decomposition approach. In the proposed algorithm, we calculate a local solution in a defined subdomain on a global composite mesh which is fine around the defined subdomain and coarse in other regions. The algorithm is simple to carry out on the basis of available sequential solvers. By a local a priori estimate of the finite element solution, we deduce error bounds of the approximations from our presented algorithm. We perform also some numerical experiments to verify the effectiveness of the proposed algorithm.

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带有非线性阻尼项的纳维-斯托克斯方程的并行梯度-分度稳定有限元算法
在这项工作中,我们针对带有非线性阻尼项的 Navier-Stokes 方程提出了一种并行梯度-div 稳定有限元算法,并采用了完全重叠域分解方法。在提出的算法中,我们在一个全局复合网格上计算一个定义子域的局部解,该网格在定义子域周围较细,而在其他区域较粗。在现有顺序求解器的基础上,该算法操作简单。通过对有限元解的局部先验估计,我们推导出了所提出算法的近似误差范围。我们还进行了一些数值实验,以验证所提算法的有效性。
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来源期刊
International Journal for Numerical Methods in Fluids
International Journal for Numerical Methods in Fluids 物理-计算机:跨学科应用
CiteScore
3.70
自引率
5.60%
发文量
111
审稿时长
8 months
期刊介绍: The International Journal for Numerical Methods in Fluids publishes refereed papers describing significant developments in computational methods that are applicable to scientific and engineering problems in fluid mechanics, fluid dynamics, micro and bio fluidics, and fluid-structure interaction. Numerical methods for solving ancillary equations, such as transport and advection and diffusion, are also relevant. The Editors encourage contributions in the areas of multi-physics, multi-disciplinary and multi-scale problems involving fluid subsystems, verification and validation, uncertainty quantification, and model reduction. Numerical examples that illustrate the described methods or their accuracy are in general expected. Discussions of papers already in print are also considered. However, papers dealing strictly with applications of existing methods or dealing with areas of research that are not deemed to be cutting edge by the Editors will not be considered for review. The journal publishes full-length papers, which should normally be less than 25 journal pages in length. Two-part papers are discouraged unless considered necessary by the Editors.
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