More efficient time integration for Fourier pseudo-spectral DNS of incompressible turbulence

Abstract

Time integration of Fourier pseudo-spectral DNS is usually performed using the classical fourth-order accurate Runge--Kutta method, or other methods of second or third order, with a fixed step size. We investigate the use of higher-order Runge-Kutta pairs and automatic step size control based on local error estimation. We find that the fifth-order accurate Runge--Kutta pair of Bogacki \& Shampine gives much greater accuracy at a significantly reduced computational cost. Specifically, we demonstrate speedups of 2x-10x for the same accuracy. Numerical tests (including the Taylor-Green vortex, Rayleigh-Taylor instability, and homogeneous isotropic turbulence) confirm the reliability and efficiency of the method. We also show that adaptive time stepping provides a significant computational advantage for some problems (like the development of a Rayleigh-Taylor instability) without compromising accuracy.

References in corpus (1)

• High performance Python for direct numerical simulations of turbulent flows

Cited by in corpus (2)

• On error-based step size control for discontinuous Galerkin methods for compressible fluid dynamics
• Structure-preserving approximations of the Serre-Green-Naghdi equations in standard and hyperbolic form