A simple three-wave approximate Riemann solver for the Saint-Venant-Exner equations
Autor: | Philippe Ung, Christophe Chalons, Emmanuel Audusse |
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Rok vydání: | 2018 |
Předmět: |
Coupling
Minimal coupling Finite volume method Applied Mathematics Mechanical Engineering Mathematical analysis Computational Mechanics Stability (learning theory) Context (language use) 010103 numerical & computational mathematics 01 natural sciences Riemann solver Computer Science Applications 010101 applied mathematics symbols.namesake Mechanics of Materials symbols 0101 mathematics Exner equation Shallow water equations Mathematics |
Zdroj: | International Journal for Numerical Methods in Fluids. 87:508-528 |
ISSN: | 0271-2091 |
DOI: | 10.1002/fld.4500 |
Popis: | Erosion and sediments transport processes have a great impact on industrial structures and on water quality. Despite its limitations, the Saint-Venant–Exner system is still (and for sure for some years) widely used in industrial codes to model the bedload sediment transport. In practice, its numerical resolution is mostly handled by a splitting technic that allows a weak coupling between hydraulic and morphodynamic distinct softwares but may suffer from important stability issues. In recent works, many authors proposed alternative methods based on a strong coupling that cure this problem but are not so trivial to implement in an industrial context. In this work, we then pursue two objectives. First we propose a very simple scheme based on an approximate Riemann solver, respecting the strong coupling framework, and we demonstrate its stability and accuracy through a number of numerical test cases. But, second, we reinterpret our scheme as a splitting technic and we extend the purpose to propose what should be the minimal coupling that ensures the stability of the global numerical process in industrial codes, at least when dealing with collocated finite volume method. The resulting splitting method is, up to our knowledge, the only one for which stability properties are fully demonstrated. |
Databáze: | OpenAIRE |
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