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On Error-Based Step Size Control for Discontinuous Galerkin Methods for Compressible Fluid Dynamics

Hendrik Ranocha, Andrew R. Winters, Hugo G. Castro, Lisandro Dalcín, Michael Schlottke‐Lakemper, Gregor J. Gassner, Matteo Parsani

2023Communications on Applied Mathematics and Computation12 citationsDOIOpen Access PDF

Abstract

Abstract We study a temporal step size control of explicit Runge-Kutta (RK) methods for compressible computational fluid dynamics (CFD), including the Navier-Stokes equations and hyperbolic systems of conservation laws such as the Euler equations. We demonstrate that error-based approaches are convenient in a wide range of applications and compare them to more classical step size control based on a Courant-Friedrichs-Lewy (CFL) number. Our numerical examples show that the error-based step size control is easy to use, robust, and efficient, e.g., for (initial) transient periods, complex geometries, nonlinear shock capturing approaches, and schemes that use nonlinear entropy projections. We demonstrate these properties for problems ranging from well-understood academic test cases to industrially relevant large-scale computations with two disjoint code bases, the open source Julia packages Trixi.jl with OrdinaryDiffEq.jl and the C/Fortran code SSDC based on PETSc.

Topics & Concepts

Euler equationsCompressible flowNonlinear systemComputational fluid dynamicsDiscontinuous Galerkin methodComputer scienceFortranApplied mathematicsComputationComputational scienceCompressibilityMathematicsAlgorithmMathematical analysisFinite element methodMechanicsPhysicsOperating systemThermodynamicsQuantum mechanicsComputational Fluid Dynamics and AerodynamicsNumerical methods for differential equationsAdvanced Numerical Methods in Computational Mathematics
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