NDLI: Parametrized Positivity Preserving Flux Limiters for the High Order Finite Difference WENO Scheme Solving Compressible Euler Equations

Content Provider	Springer Nature Link
Author	Xiong, Tao Qiu, Jing Mei Xu, Zhengfu
Copyright Year	2015
Abstract	In this paper, we develop parametrized positivity satisfying flux limiters for the high order finite difference Runge–Kutta weighted essentially non-oscillatory scheme solving compressible Euler equations to maintain positive density and pressure. Negative density and pressure, which often leads to simulation blow-ups or nonphysical solutions, emerges from many high resolution computations in some extreme cases. The methodology we propose in this paper is a nontrivial generalization of the parametrized maximum principle preserving flux limiters for high order finite difference schemes solving scalar hyperbolic conservation laws (Liang and Xu in J Sci Comput 58:41–60, 2014; Xiong et al. in J Comput Phys 252:310–331, 2013; Xu in Math Comput 83:2213–2238, 2014). To preserve the maximum principle, the high order flux is limited towards a first order monotone flux, where the limiting procedures are designed by decoupling linear maximum principle constraints. High order schemes with such flux limiters are shown to preserve the high order accuracy via local truncation error analysis and by extensive numerical experiments with mild CFL constraints. The parametrized flux limiting approach is generalized to the Euler system to preserve the positivity of density and pressure of numerical solutions via decoupling some nonlinear constraints. Compared with existing high order positivity preserving approaches (Zhang and Shu in Proc R Soc A Math Phys Eng Sci 467:2752–2776, 2011; J Comput Phys 230:1238–1248, 2011; J Comput Phys 231:2245–2258, 2012), our proposed algorithm is positivity preserving by the design; it is computationally efficient and maintains high order spatial and temporal accuracy in our extensive numerical tests. Numerical tests are performed to demonstrate the efficiency and effectiveness of the proposed new algorithm.
Starting Page	1066
Ending Page	1088
Page Count	23
File Format	PDF
ISSN	08857474
Journal	Journal of Scientific Computing
Volume Number	67
Issue Number	3
e-ISSN	15737691
Language	English
Publisher	Springer US
Publisher Date	2015-10-10
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Compressible Euler equations Positivity preserving Parametrized flux limiters High order finite difference method WENO reconstruction Algorithms Computational Mathematics and Numerical Analysis ApplicationMathematics/Computational Methods of Engineering Theoretical, Mathematical and Computational Physics
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Theoretical Computer Science Engineering Computational Theory and Mathematics Computational Mathematics Numerical Analysis Software

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