A robust moving mesh finite volume method applied to 1D hyperbolic conservation laws from magnetohydrodynamics
Autor: | A. van Dam, Paul Andries Zegeling |
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Rok vydání: | 2006 |
Předmět: |
Numerical Analysis
Conservation law Mathematical optimization Partial differential equation Finite volume method Physics and Astronomy (miscellaneous) Adaptive mesh refinement Applied Mathematics Finite difference method 010103 numerical & computational mathematics Solver 01 natural sciences Computer Science Applications 010101 applied mathematics Computational Mathematics Nonlinear system Modeling and Simulation Applied mathematics Polygon mesh 0101 mathematics Mathematics |
Zdroj: | Journal of Computational Physics. 216:526-546 |
ISSN: | 0021-9991 |
DOI: | 10.1016/j.jcp.2005.12.014 |
Popis: | In this paper we describe a one-dimensional adaptive moving mesh method and its application to hyperbolic conservation laws from magnetohydrodynamics (MHD). The method is robust, because it employs automatic control of mesh adaptation when a new model is considered, without manually-set parameters. Adaptive meshes are a common tool for increasing the accuracy and reducing computational costs when solving time-dependent partial differential equations (PDEs). Mesh points are moved towards locations where they are needed the most. To obtain a time-dependent adaptive mesh, monitor functions are used to automatically 'monitor' the importance of the various parts of the domain, by assigning a 'weight'-value to each location. Based on the equidistribution principle, all mesh points are distributed according to their assigned weights. We use a sophisticated monitor function that tracks both small, local phenomena as well as large shocks in the same solution. The combination of the moving mesh method and a high-resolution finite volume solver for hyperbolic PDEs yields a serious gain in accuracy at relatively no extra costs. The results of several numerical experiments including comparisons with h-refinement are presented, which cover many intriguing aspects typifying nonlinear magneto-fluid dynamics, with higher accuracy than often seen in similar publications. |
Databáze: | OpenAIRE |
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