斯托克斯-达西耦合问题的灰泥法,使用斯托克斯的 MAC 方案和达西的混合有限元方案

IF 2.1 3区 地球科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computational Geosciences Pub Date : 2024-02-08 DOI:10.1007/s10596-023-10267-6
Wietse M. Boon, Dennis Gläser, Rainer Helmig, Kilian Weishaupt, Ivan Yotov
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引用次数: 0

摘要

针对斯托克斯-达西耦合问题提出了一种非匹配网格的离散化方法,该方法在界面上使用灰泥变量,将斯托克斯域中的标记和单元(MAC)方法与达西域中的拉维亚特-托马斯混合有限元对耦合在一起。由于这一选择,该方法在斯托克斯域局部保持线性动量和质量,在达西域表现出局部质量守恒。MAC 方案被重新表述为交错网格上的混合有限元方法,这使得所提出的方案可以作为砂浆混合有限元方法进行分析。我们证明了离散系统的良好假设,并推导出先验误差估计,表明所有变量都具有一阶收敛性。该系统可以简化为一个仅涉及砂浆变量的界面问题,从而产生一种非重叠域分解方法。本报告还列举了一些数值实例,以说明该方法的理论结果和适用性。
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A mortar method for the coupled Stokes-Darcy problem using the MAC scheme for Stokes and mixed finite elements for Darcy

A discretization method with non-matching grids is proposed for the coupled Stokes-Darcy problem that uses a mortar variable at the interface to couple the marker and cell (MAC) method in the Stokes domain with the Raviart-Thomas mixed finite element pair in the Darcy domain. Due to this choice, the method conserves linear momentum and mass locally in the Stokes domain and exhibits local mass conservation in the Darcy domain. The MAC scheme is reformulated as a mixed finite element method on a staggered grid, which allows for the proposed scheme to be analyzed as a mortar mixed finite element method. We show that the discrete system is well-posed and derive a priori error estimates that indicate first order convergence in all variables. The system can be reduced to an interface problem concerning only the mortar variables, leading to a non-overlapping domain decomposition method. Numerical examples are presented to illustrate the theoretical results and the applicability of the method.

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来源期刊
Computational Geosciences
Computational Geosciences 地学-地球科学综合
CiteScore
6.10
自引率
4.00%
发文量
63
审稿时长
6-12 weeks
期刊介绍: Computational Geosciences publishes high quality papers on mathematical modeling, simulation, numerical analysis, and other computational aspects of the geosciences. In particular the journal is focused on advanced numerical methods for the simulation of subsurface flow and transport, and associated aspects such as discretization, gridding, upscaling, optimization, data assimilation, uncertainty assessment, and high performance parallel and grid computing. Papers treating similar topics but with applications to other fields in the geosciences, such as geomechanics, geophysics, oceanography, or meteorology, will also be considered. The journal provides a platform for interaction and multidisciplinary collaboration among diverse scientific groups, from both academia and industry, which share an interest in developing mathematical models and efficient algorithms for solving them, such as mathematicians, engineers, chemists, physicists, and geoscientists.
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