Utilize este identificador para referenciar este registo: http://hdl.handle.net/1822/12194

TítuloA high-order finite volume method for systems of conservation laws - Multi-dimensional Optimal Order Detection (MOOD)
Autor(es)Clain, Stéphane
Diot, S.
Loubère, R.
Palavras-chaveFinite volume method
High-order reconstruction
RevistaJournal of Computational Physics
Citação"Journal of Computational Physics". ISSN 0021-9991. 230:10 (May 2011) 4028-4050.
Resumo(s)In this paper, we investigate an original way to deal with the problems generated by the limitation process of high-order finite volume methods based on polynomial reconstructions. Multi-dimensional Optimal Order Detection (MOOD) breaks away from classical limitations employed in high-order methods. The proposed method consists of detecting problematic situations after each time update of the solution and of reducing the local polynomial degree before recomputing the solution. As multi-dimensional MUSCL methods, the concept is simple and independent of mesh structure. Moreover MOOD is able to take physical constraints such as density and pressure positivity into account through an ‘‘a posteriori’’ detection. Numerical results on classical and demanding test cases for advection and Euler system are presented on quadrangular meshes to support the promising potential of this approach.
Versão da editorahttp://www.sciencedirect.com/science/journal/00219991
Arbitragem científicayes
Aparece nas coleções:CMAT - Artigos em revistas com arbitragem / Papers in peer review journals

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