一维双曲守恒定律的大型库朗-弗里德里希斯-路维显式方案

IF 1.7 4区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Vincent Guinot, Antoine Rousseau
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引用次数: 0

摘要

本文介绍了一种大型库朗-弗里德里希斯-路维(CFL)算法,用于双曲守恒定律系统的显式有限体积求解,重点是浅水方程。通量计算中使用的黎曼问题是通过扩展到多个计算单元的平均核确定的。通常的 CFL 稳定性约束被一个涉及核支持大小的约束所取代。这使得该方法在计算单元大小方面无条件稳定,允许在不改变求解稳定性的情况下对计算网格进行任意程度的局部细化。针对带有地形源项的浅水方程,详细介绍了该方法的实际应用。计算实例报告了该方法在线性平流、伯格斯和浅水方程中的应用。在急剧的底部不连续的情况下,需要对几何源项进行改进的、均衡的离散处理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Large Courant–Friedrichs–Lewy explicit scheme for one-dimensional hyperbolic conservation laws

Large Courant–Friedrichs–Lewy explicit scheme for one-dimensional hyperbolic conservation laws

A large Courant–Friedrichs–Lewy (CFL) algorithm is presented for the explicit, finite volume solution of hyperbolic systems of conservation laws, with a focus on the shallow water equations. The Riemann problems used in the flux computation are determined using averaging kernels that extend over several computational cells. The usual CFL stability constraint is replaced with a constraint involving the kernel support size. This makes the method unconditionally stable with respect to the size of the computational cells, allowing the computational mesh to be refined locally to an arbitrary degree without altering solution stability. The practical implementation of the method is detailed for the shallow water equations with topographical source term. Computational examples report applications of the method to the linear advection, Burgers and shallow water equations. In the case of sharp bottom discontinuities, the need for improved, well-balanced discretisations of the geometric source term is acknowledged.

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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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