Quasi-linear analysis of dispersion relation preservation for nonlinear schemes

TL;DR

This paper introduces a quasi-linear dispersion relation preservation (QL-DRP) method to analyze and evaluate the group velocity of nonlinear schemes in complex flow simulations, enhancing understanding of their spectral properties.

Contribution

The paper proposes the QL-DRP analysis method that combines spectral properties with dispersion relation preservation to determine group velocity in nonlinear schemes, including high-order Runge-Kutta schemes.

Findings

QL-DRP accurately determines group velocity in nonlinear schemes.

High-order time schemes improve dispersion relation preservation.

Numerical simulations validate the effectiveness of the QL-DRP method.

Abstract

In numerical simulations of complex flows with discontinuities, it is necessary to use nonlinear schemes. The spectrum of the scheme used have a significant impact on the resolution and stability of the computation. Based on the approximate dispersion relation method, we combine the corresponding spectral property with the dispersion relation preservation proposed by De and Eswaran (J. Comput. Phys. 218 (2006) 398-416) and propose a quasi-linear dispersion relation preservation (QL-DRP) analysis method, through which the group velocity of the nonlinear scheme can be determined. In particular, we derive the group velocity property when a high-order Runge-Kutta scheme is used and compare the performance of different time schemes with QL-DRP. The rationality of the QL-DRP method is verified by a numerical simulation and the discrete Fourier transform method. To further evaluate the performance of a nonlinear scheme in finding the group velocity, new hyperbolic equations are designed. The validity of QL-DRP and the group velocity preservation of several schemes are investigated using two examples of the equation for one-dimensional wave propagation and the new hyperbolic equations. The results show that the QL-DRP method integrated with high-order time schemes can determine the group velocity for nonlinear schemes and evaluate their performance reasonably and efficiently.