An artificial viscosity approach to high order entropy stable discontinuous Galerkin methods
Jesse Chan

TL;DR
This paper introduces an entropy correction artificial viscosity approach for high order entropy stable discontinuous Galerkin methods, enhancing robustness and computational efficiency without requiring explicit flux expressions.
Contribution
It proposes a novel, parameter-free artificial viscosity technique that maintains entropy stability and high order accuracy in DG methods, simplifying implementation for complex systems.
Findings
Method preserves semi-discrete entropy inequality.
Artificial viscosity is locally computable and parameter-free.
Maintains high order accuracy and stability.
Abstract
Entropy stable discontinuous Galerkin (DG) methods improve the robustness of high order DG simulations of nonlinear conservation laws. These methods yield a semi-discrete entropy inequality, and rely on an algebraic flux differencing formulation which involves both summation-by-parts (SBP) discretization matrices and entropy conservative two-point finite volume fluxes. However, explicit expressions for such two-point finite volume fluxes may not be available for all systems, or may be computationally expensive to compute. This paper proposes an alternative approach to constructing entropy stable DG methods using an entropy correction artificial viscosity, where the artificial viscosity coefficient is determined based on the local violation of a cell entropy inequality and the local entropy dissipation. The resulting method is a modification of the entropy correction introduced by…
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Taxonomy
TopicsModel Reduction and Neural Networks · Advanced Numerical Methods in Computational Mathematics · Image and Signal Denoising Methods
