Optimized Runge-Kutta Methods with Automatic Step Size Control for Compressible Computational Fluid Dynamics
Hendrik Ranocha , Lisandro Dalcin , Matteo Parsani , David I. Ketcheson
Communications on Applied Mathematics and Computation ›› 2021, Vol. 4 ›› Issue (4) : 1191 -1228.
Optimized Runge-Kutta Methods with Automatic Step Size Control for Compressible Computational Fluid Dynamics
We develop error-control based time integration algorithms for compressible fluid dynamics (CFD) applications and show that they are efficient and robust in both the accuracy-limited and stability-limited regime. Focusing on discontinuous spectral element semidiscretizations, we design new controllers for existing methods and for some new embedded Runge-Kutta pairs. We demonstrate the importance of choosing adequate controller parameters and provide a means to obtain these in practice. We compare a wide range of error-control-based methods, along with the common approach in which step size control is based on the Courant-Friedrichs-Lewy (CFL) number. The optimized methods give improved performance and naturally adopt a step size close to the maximum stable CFL number at loose tolerances, while additionally providing control of the temporal error at tighter tolerances. The numerical examples include challenging industrial CFD applications.
King Abdullah University of Science and Technology
Deutsche Forschungsgemeinschaft(EXC 2044-390685587, Mathematics Münster: Dynamics-Geometry-Structure)
Westfälische Wilhelms-Universität Münster (1056)
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