High-order accurate structure-preserving finite volume schemes on adaptive moving meshes for shallow water equations: Well-balancedness and positivity
Zhihao Zhang, Huazhong Tang, Kailiang Wu

TL;DR
This paper introduces high-order, well-balanced, and positivity-preserving finite volume schemes for shallow water equations on adaptive moving meshes, addressing challenges in maintaining these properties amid mesh movement.
Contribution
It develops a novel framework that decomposes well-balancedness into flux-source and mesh movement balances, ensuring these properties on adaptive moving meshes.
Findings
Schemes are proven to be well-balanced and positivity-preserving.
Numerical examples demonstrate high accuracy and efficiency.
The approach effectively handles mesh movement complexities.
Abstract
This paper develops high-order accurate, well-balanced (WB), and positivity-preserving (PP) finite volume schemes for shallow water equations on adaptive moving structured meshes. The mesh movement poses new challenges in maintaining the WB property, which not only depends on the balance between flux gradients and source terms but is also affected by the mesh movement. To address these complexities, the WB property in curvilinear coordinates is decomposed into flux source balance and mesh movement balance. The flux source balance is achieved by suitable decomposition of the source terms, the numerical fluxes based on hydrostatic reconstruction, and appropriate discretization of the geometric conservation laws (GCLs). Concurrently, the mesh movement balance is maintained by integrating additional schemes to update the bottom topography during mesh adjustments. The proposed schemes are…
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Taxonomy
TopicsComputational Fluid Dynamics and Aerodynamics · Advanced Numerical Methods in Computational Mathematics · Lattice Boltzmann Simulation Studies
