针对理查兹方程中的渗流问题的两种基于尼采的混合有限元离散方法

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Computer Methods in Applied Mechanics and Engineering Pub Date : 2024-09-10 DOI:10.1016/j.cma.2024.117368
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引用次数: 0

摘要

本文针对非饱和介质中地下水流的理查兹方程,提出了两种施加渗流边界条件的算法。渗流条件是一种非线性边界条件,可以表述为对地表压力水头和水流量的一组单边约束条件,以及一个互补条件:这些条件在实践中需要在边界未知部分的诺依曼边界条件和迪里夏特边界条件之间切换。在意识到这些条件与力学中的单边接触问题的相似性后,我们从相关文献中汲取灵感,提出了两种方法:第一种方法依赖于强一致性惩罚项,而第二种方法则是通过混合方法获得的,其中地表压力值被视为一组独立的未知数。水流问题采用混合形式离散,使用 div-conforming 元素,从而保留了水的质量。数值实验表明,在处理复杂程度不断增加的几何图形上的渗流边界条件时,所提出的策略是有效的。
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Two Nitsche-based mixed finite element discretizations for the seepage problem in Richards’ equation

This paper proposes two algorithms to impose seepage boundary conditions in the context of Richards’ equation for groundwater flows in unsaturated media. Seepage conditions are non-linear boundary conditions, that can be formulated as a set of unilateral constraints on both the pressure head and the water flux at the ground surface, together with a complementarity condition: these conditions in practice require switching between Neumann and Dirichlet boundary conditions on unknown portions on the boundary. Upon realizing the similarities of these conditions with unilateral contact problems in mechanics, we take inspiration from that literature to propose two approaches: the first method relies on a strongly consistent penalization term, whereas the second one is obtained by an hybridization approach, in which the value of the pressure on the surface is treated as a separate set of unknowns. The flow problem is discretized in mixed form with div-conforming elements so that the water mass is preserved. Numerical experiments show the validity of the proposed strategy in handling the seepage boundary conditions on geometries with increasing complexity.

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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
期刊介绍: Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.
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