浅水方程的有限体积格式

IF 16.3 1区 数学 Q1 MATHEMATICS
A. Kurganov
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引用次数: 63

摘要

浅水方程被广泛用于河流、湖泊、水库、沿海地区以及其他水深远小于运动水平长度尺度的情况下的水流模型。经典的浅水方程,圣维南方程组,最初是在150年前提出的,至今仍在各种应用中使用。在许多实际应用中,对Saint-Venant系统和相关模型有一个准确、高效和鲁棒的数值解算器是非常重要的。由于它们的解通常是非光滑的,甚至是不连续的,有限体积方案是最流行的工具之一。在本文中,我们回顾了这些方案,并重点介绍了最简单(但高度准确和鲁棒)的方法之一:中心逆风方案。这些格式属于godunov型黎曼无问题解的中心格式族,但包含了一些关于局部传播速度的上旋信息,这有助于减少经典(交错)非振荡中心格式中典型存在的过量数值扩散。除了经典的一二维和二维Saint-Venant系统外,我们还将考虑带摩擦项的浅水方程、带移动底部地形的模型、两层浅水系统以及一般的非保守双曲系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Finite-volume schemes for shallow-water equations
Shallow-water equations are widely used to model water flow in rivers, lakes, reservoirs, coastal areas, and other situations in which the water depth is much smaller than the horizontal length scale of motion. The classical shallow-water equations, the Saint-Venant system, were originally proposed about 150 years ago and still are used in a variety of applications. For many practical purposes, it is extremely important to have an accurate, efficient and robust numerical solver for the Saint-Venant system and related models. As their solutions are typically non-smooth and even discontinuous, finite-volume schemes are among the most popular tools. In this paper, we review such schemes and focus on one of the simplest (yet highly accurate and robust) methods: central-upwind schemes. These schemes belong to the family of Godunov-type Riemann-problem-solver-free central schemes, but incorporate some upwinding information about the local speeds of propagation, which helps to reduce an excessive amount of numerical diffusion typically present in classical (staggered) non-oscillatory central schemes. Besides the classical one- and two-dimensional Saint-Venant systems, we will consider the shallow-water equations with friction terms, models with moving bottom topography, the two-layer shallow-water system as well as general non-conservative hyperbolic systems.
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来源期刊
Acta Numerica
Acta Numerica MATHEMATICS-
CiteScore
26.00
自引率
0.70%
发文量
7
期刊介绍: Acta Numerica stands as the preeminent mathematics journal, ranking highest in both Impact Factor and MCQ metrics. This annual journal features a collection of review articles that showcase survey papers authored by prominent researchers in numerical analysis, scientific computing, and computational mathematics. These papers deliver comprehensive overviews of recent advances, offering state-of-the-art techniques and analyses. Encompassing the entirety of numerical analysis, the articles are crafted in an accessible style, catering to researchers at all levels and serving as valuable teaching aids for advanced instruction. The broad subject areas covered include computational methods in linear algebra, optimization, ordinary and partial differential equations, approximation theory, stochastic analysis, nonlinear dynamical systems, as well as the application of computational techniques in science and engineering. Acta Numerica also delves into the mathematical theory underpinning numerical methods, making it a versatile and authoritative resource in the field of mathematics.
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