Well-balanced path-conservative discontinuous Galerkin methods with equilibrium preserving space for two-layer shallow water equations

IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Computational Physics Pub Date : 2024-10-02 DOI:10.1016/j.jcp.2024.113473
Jiahui Zhang , Yinhua Xia , Yan Xu
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Abstract

This paper introduces well-balanced path-conservative discontinuous Galerkin (DG) methods for two-layer shallow water equations, ensuring exactness for both still water and moving water equilibrium steady states. The approach involves approximating the equilibrium variables within the DG piecewise polynomial space, while expressing the DG scheme in the form of path-conservative schemes. To robustly handle the nonconservative products governing momentum exchange between the layers, we incorporate the theory of Dal Maso, LeFloch, and Murat (DLM) within the DG method. Additionally, linear segment paths connecting the equilibrium functions are chosen to guarantee the well-balanced property of the resulting scheme. The simple “lake-at-rest” steady state is naturally satisfied without any modification, while a specialized treatment of the numerical flux is crucial for preserving the moving water steady state. Extensive numerical examples in one and two dimensions validate the exact equilibrium preservation of the steady state solutions and demonstrate its high-order accuracy. The performance of the method and high-resolution results further underscore its potential as a robust approach for nonconservative hyperbolic balance laws.
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针对两层浅水方程的具有平衡保留空间的均衡路径保守非连续伽勒金方法
本文针对两层浅水方程引入了平衡良好的路径保守非连续伽勒金(DG)方法,确保静水和动水平衡稳态的精确性。该方法涉及在 DG 片断多项式空间内近似平衡变量,同时以路径保守方案的形式表达 DG 方案。为了稳健地处理层间动量交换的非保守乘积,我们在 DG 方法中加入了 Dal Maso、LeFloch 和 Murat(DLM)理论。此外,我们还选择了连接平衡函数的线性分段路径,以保证所产生的方案具有良好的平衡特性。简单的 "湖泊静止 "稳态无需任何修改即可自然得到满足,而数值通量的专门处理对于保持水流运动稳态至关重要。一维和二维的大量数值示例验证了稳态解的精确平衡保持,并证明了其高阶精度。该方法的性能和高分辨率结果进一步凸显了其作为非保守双曲平衡定律稳健方法的潜力。
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来源期刊
Journal of Computational Physics
Journal of Computational Physics 物理-计算机:跨学科应用
CiteScore
7.60
自引率
14.60%
发文量
763
审稿时长
5.8 months
期刊介绍: Journal of Computational Physics thoroughly treats the computational aspects of physical problems, presenting techniques for the numerical solution of mathematical equations arising in all areas of physics. The journal seeks to emphasize methods that cross disciplinary boundaries. The Journal of Computational Physics also publishes short notes of 4 pages or less (including figures, tables, and references but excluding title pages). Letters to the Editor commenting on articles already published in this Journal will also be considered. Neither notes nor letters should have an abstract.
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