Volume 52, Number 3, May–June 2018
|Page(s)||995 - 1022|
|Published online||13 September 2018|
Entropy-stable space–time DG schemes for non-conservative hyperbolic systems
ANSYS Switzerland GmbH,
2 Seminar for Applied Mathematics (SAM), Department of Mathematics, ETH Zürich, HG G 57.2, Zürich 8092, Switzerland
3 Center of Mathematics for Applications (CMA), University of Oslo, P.O. Box 1053, Blindern, Oslo 0316, Norway
4 Departamento de Análisis Matemático, Facultad de Ciencias, Universidad de Málaga, 29071 Málaga, Spain
* Corresponding author: firstname.lastname@example.org
Revised: 28 September 2017
Accepted: 9 November 2017
We propose a space–time discontinuous Galerkin (DG) method to approximate multi-dimensional non-conservative hyperbolic systems. The scheme is based on a particular choice of interface fluctuations. The key difference with existing space–time DG methods lies in the fact that our scheme is formulated in entropy variables, allowing us to prove entropy stability for the method. Additional numerical stabilization in the form of streamline diffusion and shock-capturing terms are added. The resulting method is entropy stable, arbitrary high-order accurate, fully discrete, and able to handle complex domain geometries discretized with unstructured grids. We illustrate the method with representative numerical examples.
Mathematics Subject Classification: 65M60 / 65M12 / 35L60 / 76L05
Key words: Multidimensional nonconservative hyperbolic systems / space–time discontinuous Galerkin methods / entropy-stability / streamline diffusion / shock-capturing methods / two-layer shallow water system.
© EDP Sciences, SMAI 2018
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.