4.6 Article

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

期刊

JOURNAL OF SCIENTIFIC COMPUTING
卷 67, 期 3, 页码 1066-1088

出版社

SPRINGER/PLENUM PUBLISHERS
DOI: 10.1007/s10915-015-0118-0

关键词

Compressible Euler equations; Positivity preserving; Parametrized flux limiters; High order finite difference method; WENO reconstruction

资金

  1. Air Force Office of Scientific Computing YIP [FA9550-12-0318]
  2. NSF [DMS-1217008, DMS-152277, DMS-1316662]
  3. Division Of Mathematical Sciences
  4. Direct For Mathematical & Physical Scien [1522777, 1217008] Funding Source: National Science Foundation

向作者/读者索取更多资源

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.

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