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

Hendrik Ranocha; Andrew R. Winters; Hugo Guillermo Castro; Lisandro Dalcin; Michael Schlottke-Lakemper; Gregor J. Gassner; Matteo Parsani

doi:10.1007/s42967-023-00264-y

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

Hendrik Ranocha^*, Andrew R. Winters, Hugo Guillermo Castro, Lisandro Dalcin, Michael Schlottke-Lakemper, Gregor J. Gassner, Matteo Parsani

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

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.

Original language	English (US)
Journal	Communications on Applied Mathematics and Computation
DOIs	https://doi.org/10.1007/s42967-023-00264-y
State	Accepted/In press - 2023

Bibliographical note

Funding Information:
Open Access funding enabled and organized by Projekt DEAL. Andrew Winters was funded through Vetenskapsrådet, Sweden Grant Agreement 2020-03642 VR. Some computations were enabled by resources provided by the Swedish National Infrastructure for Computing (SNIC) at Tetralith, partially funded by the Swedish Research Council under Grant Agreement No. 2018-05973. Hugo Guillermo Castro was funded through the award P2021-0004 of King Abdullah University of Science and Technology. Some of the simulations were enabled by the Supercomputing Laboratory and the Extreme Computing Research Center at King Abdullah University of Science and Technology. Gregor Gassner acknowledges funding through the Klaus-Tschira Stiftung via the project “HiFiLab”. Gregor Gassner and Michael Schlottke-Lakemper acknowledge funding from the Deutsche Forschungsgemeinschaft through the research unit “SNuBIC” (DFG-FOR5409).

Publisher Copyright:
© 2023, The Author(s).

Keywords

Adaptivity in space and time
Compressible fluid dynamics
Explicit Runge-Kutta (RK) methods
Shock capturing
Step size control

ASJC Scopus subject areas

Computational Mathematics
Applied Mathematics

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10.1007/s42967-023-00264-y

Cite this

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title = "On Error-Based Step Size Control for Discontinuous Galerkin Methods for Compressible Fluid Dynamics",

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.",

keywords = "Adaptivity in space and time, Compressible fluid dynamics, Explicit Runge-Kutta (RK) methods, Shock capturing, Step size control",

author = "Hendrik Ranocha and Winters, {Andrew R.} and Castro, {Hugo Guillermo} and Lisandro Dalcin and Michael Schlottke-Lakemper and Gassner, {Gregor J.} and Matteo Parsani",

note = "Funding Information: Open Access funding enabled and organized by Projekt DEAL. Andrew Winters was funded through Vetenskapsr{\aa}det, Sweden Grant Agreement 2020-03642 VR. Some computations were enabled by resources provided by the Swedish National Infrastructure for Computing (SNIC) at Tetralith, partially funded by the Swedish Research Council under Grant Agreement No. 2018-05973. Hugo Guillermo Castro was funded through the award P2021-0004 of King Abdullah University of Science and Technology. Some of the simulations were enabled by the Supercomputing Laboratory and the Extreme Computing Research Center at King Abdullah University of Science and Technology. Gregor Gassner acknowledges funding through the Klaus-Tschira Stiftung via the project “HiFiLab”. Gregor Gassner and Michael Schlottke-Lakemper acknowledge funding from the Deutsche Forschungsgemeinschaft through the research unit “SNuBIC” (DFG-FOR5409). Publisher Copyright: {\textcopyright} 2023, The Author(s).",

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doi = "10.1007/s42967-023-00264-y",

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journal = "Communications on Applied Mathematics and Computation",

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AU - Gassner, Gregor J.

AU - Parsani, Matteo

N1 - Funding Information: Open Access funding enabled and organized by Projekt DEAL. Andrew Winters was funded through Vetenskapsrådet, Sweden Grant Agreement 2020-03642 VR. Some computations were enabled by resources provided by the Swedish National Infrastructure for Computing (SNIC) at Tetralith, partially funded by the Swedish Research Council under Grant Agreement No. 2018-05973. Hugo Guillermo Castro was funded through the award P2021-0004 of King Abdullah University of Science and Technology. Some of the simulations were enabled by the Supercomputing Laboratory and the Extreme Computing Research Center at King Abdullah University of Science and Technology. Gregor Gassner acknowledges funding through the Klaus-Tschira Stiftung via the project “HiFiLab”. Gregor Gassner and Michael Schlottke-Lakemper acknowledge funding from the Deutsche Forschungsgemeinschaft through the research unit “SNuBIC” (DFG-FOR5409). Publisher Copyright: © 2023, The Author(s).

PY - 2023

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N2 - 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.

AB - 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.

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JF - Communications on Applied Mathematics and Computation

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

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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