IMEX HDG-DG: a coupled implicit hybridized discontinuous Galerkin (HDG) and explicit discontinuous Galerkin (DG) approach for shallow water systems
Shinhoo Kang, Francis X. Giraldo, Tan Bui-Thanh

TL;DR
This paper introduces IMEX HDG-DG schemes that efficiently simulate shallow water systems with subcritical flow by combining implicit and explicit discretizations, enabling larger time steps and high-order accuracy.
Contribution
The paper presents a novel coupled IMEX HDG-DG framework that improves efficiency and parallelism for shallow water system simulations with high-order accuracy.
Findings
Comparable accuracy to explicit DG schemes
Larger stable time steps achieved
Smaller, sparser linear systems generated
Abstract
We propose IMEX HDG-DG schemes for planar and spherical shallow water systems. Of interest is subcritical flow, where the speed of the gravity wave is faster than that of nonlinear advection. In order to simulate these flows efficiently, we split the governing system into a stiff part describing the gravity wave and a non-stiff part associated with nonlinear advection. The former is discretized implicitly with the HDG method while an explicit Runge-Kutta DG discretization is employed for the latter. The proposed IMEX HDG-DG framework: 1) facilitates high-order solutions both in time and space; 2) avoids overly small time-step sizes; 3) requires only one linear system solve per time stage; 4) relative to DG generates smaller and sparser linear systems while promoting further parallelism. Numerical results of various test cases demonstrate that our methods are comparable to explicit…
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Taxonomy
TopicsAdvanced Numerical Methods in Computational Mathematics · Computational Fluid Dynamics and Aerodynamics · Numerical methods for differential equations
