A Parametrized Maximum Principle Preserving Flux Limiter for Finite Difference RK-WENO Schemes with Applications in Incompressible Flows
Document Type
Article
Publication Date
11-2013
Department
Department of Mathematical Sciences
Abstract
In Xu (2013) [14], a class of parametrized flux limiters is developed for high order finite difference/volume essentially non-oscillatory (ENO) and Weighted ENO (WENO) schemes coupled with total variation diminishing (TVD) Runge-Kutta (RK) temporal integration for solving scalar hyperbolic conservation laws to achieve strict maximum principle preserving (MPP). In this paper, we continue along this line of research, but propose to apply the parametrized MPP flux limiter only to the final stage of any explicit RK method. Compared with the original work (Xu, 2013) [14], the proposed new approach has several advantages: First, the MPP property is preserved with high order accuracy without as much time step restriction; Second, the implementation of the parametrized flux limiters is significantly simplified. Analysis is performed to justify the maintenance of third order spatial/temporal accuracy when the MPP flux limiters are applied to third order finite difference schemes solving general nonlinear problems. We further apply the limiting procedure to the simulation of the incompressible flow: the numerical fluxes of a high order scheme are limited toward that of a first order MPP scheme which was discussed in Levy (2005) [3]. The MPP property is guaranteed, while designed high order of spatial and temporal accuracy for the incompressible flow computation is not affected via extensive numerical experiments. The efficiency and effectiveness of the proposed scheme are demonstrated via several test examples.
Publication Title
Journal of Computational Physics
Recommended Citation
Xiong, T.,
Qiu, J.,
&
Xu, Z.
(2013).
A Parametrized Maximum Principle Preserving Flux Limiter for Finite Difference RK-WENO Schemes with Applications in Incompressible Flows.
Journal of Computational Physics,
252, 310-331.
http://doi.org/10.1016/j.jcp.2013.06.026
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/6661
Publisher's Statement
© 2013 Elsevier Inc.