Paired explicit Runge-Kutta schemes for stiff systems of equations

•A new Paired Explicit Runge-Kutta (P-ERK) scheme is introduced.•This approach allows different RK schemes to be used in stiff/non-stiff regions.•P-ERK families are optimized and used for the Euler and Navier-Stokes equations.•Results demonstrate up to 5x speedup relative to classical Runge-Kutta me...

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Veröffentlicht in:Journal of computational physics 2019-09, Vol.393, p.465-483
1. Verfasser: Vermeire, Brian C.
Format: Artikel
Sprache:eng
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Zusammenfassung:•A new Paired Explicit Runge-Kutta (P-ERK) scheme is introduced.•This approach allows different RK schemes to be used in stiff/non-stiff regions.•P-ERK families are optimized and used for the Euler and Navier-Stokes equations.•Results demonstrate up to 5x speedup relative to classical Runge-Kutta methods. In this paper we introduce a family of explicit Runge-Kutta methods, referred to as Paired Explicit Runge-Kutta (P-ERK) schemes, that are suitable for the solution of stiff systems of equations. The P-ERK approach allows Runge-Kutta schemes with a large number of derivative evaluations and large region of absolute stability to be used in the stiff parts of a domain, while schemes with relatively few derivative evaluations are used in non-stiff parts to reduce computational cost. Importantly, different P-ERK schemes with different numbers of derivative evaluations can be chosen based on local stiffness requirements and seamlessly paired with one another. We then verify that P-ERK schemes obtain their designed order of accuracy using the Euler equations with arbitrary combinations of schemes. We then demonstrate that P-ERK schemes can achieve speedup factors of approximately five for simulations using the Navier-Stokes equations including laminar and turbulent flow over an SD7003 airfoil. These results demonstrate that P-ERK schemes can significantly accelerate the solution of stiff systems of equations when using an explicit approach, and that they maintain accuracy with respect to conventional Runge-Kutta methods and available reference data.
ISSN:0021-9991
1090-2716
DOI:10.1016/j.jcp.2019.05.014