A fully well-balanced hydrodynamic reconstruction

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-03-25 DOI:10.1515/jnma-2023-0065
Christophe Berthon, Victor Michel-Dansac
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Abstract

The present work focuses on the numerical approximation of the weak solutions of the shallow water model over a non-flat topography. In particular, we pay close attention to steady solutions with nonzero velocity. The goal of this work is to derive a scheme that exactly preserves these stationary solutions, as well as the commonly preserved lake at rest steady solution. These moving steady states are solution to a nonlinear equation. We emphasize that the method proposed here never requires solving this nonlinear equation; instead, a suitable linearization is derived. To address this issue, we propose an extension of the well-known hydrostatic reconstruction. By appropriately defining the reconstructed states at the interfaces, any numerical flux function, combined with a relevant source term discretization, produces a well-balanced scheme that preserves both moving and non-moving steady solutions. This eliminates the need to construct specific numerical fluxes. Additionally, we prove that the resulting scheme is consistent with the homogeneous system on flat topographies, and that it reduces to the hydrostatic reconstruction when the velocity vanishes. To increase the accuracy of the simulations, we propose a well-balanced high-order procedure, which still does not require solving any nonlinear equation. Several numerical experiments demonstrate the effectiveness of the numerical scheme.
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完全平衡的水动力重建
本研究的重点是非平坦地形上浅水模型弱解的数值近似。我们尤其关注速度不为零的稳定解。这项工作的目标是推导出一种方案,精确保留这些静止解以及通常保留的湖泊静止稳定解。这些移动稳态是非线性方程的解。我们强调,这里提出的方法从来不需要求解这个非线性方程;相反,我们会推导出一个合适的线性化方案。为了解决这个问题,我们提出了对著名的流体静力学重构的扩展。通过适当定义界面上的重构状态,任何数值通量函数与相关源项离散化相结合,都能产生一个很好的平衡方案,同时保留运动和非运动的稳定解。这样就无需构建特定的数值通量。此外,我们还证明了所产生的方案与平坦地形上的均质系统是一致的,而且当速度消失时,它还原为流体静力学重构。为了提高模拟的精确度,我们提出了一种平衡良好的高阶程序,它仍然不需要求解任何非线性方程。几个数值实验证明了该数值方案的有效性。
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CiteScore
7.20
自引率
4.30%
发文量
567
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