Numerical modelling of one dimensional problems for the shallow water equations on an adaptive moving meshes

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED
K.E. Shilnikov
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引用次数: 0

Abstract

This work is devoted to an approach for the quality improvement of numerical solving of initial-boundary problems for one-dimensional shallow water equations on an adaptive mesh. A Godunov type numerical scheme for the problem on moving mesh is applied. The grid motion law is based on the solution of the local Riemann discontinuity breakdown problem and forces the computational nodes to follow the wave of the greatest amplitude. The regularization mechanism prevents the degeneration of moving computational mesh and gives an estimate for the mesh compression. The proposed algorithm is tested on several typical Riemann problems with known exact solutions. The numerical experiments show that the proposed approach allows to improve the quality of the obtained numerical solution.
一维浅水方程自适应移动网格数值模拟
本文研究了一种在自适应网格上提高一维浅水方程初始边界问题数值求解质量的方法。对运动网格问题采用了Godunov型数值格式。网格运动规律是基于局部黎曼不连续击穿问题的解,并迫使计算节点跟随最大振幅的波。正则化机制防止了运动计算网格的退化,并给出了网格压缩的估计。该算法在几个已知精确解的典型黎曼问题上进行了测试。数值实验表明,该方法可以提高所得到的数值解的质量。
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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