Abstract
We introduce an explicit invariant-region-preserving limiter applied to DG methods for compressible Euler equations. The invariant region considered consists of positivity of density and pressure and a maximum principle of a specific entropy. The modified polynomial by the limiter preserves the cell average, lies entirely within the invariant region, and does not destroy the high order of accuracy for smooth solutions, as long as the cell average stays away from the boundary of the invariant region. Numerical tests are presented to illustrate the properties of the limiter. In particular, the tests on Riemann problems show that the limiter helps to damp the oscillations near discontinuities.
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References
H. Frid, Maps of convex sets and invariant regions for finite-difference systems of conservation laws. Arch. Rational Mech. Anal. 160(3), 245–269 (2001)
J.-L. Guermond, B. Popov, Invariant domains and first-order continuous finite element approximation for hyperbolic systems. SIAM J. Numer. Anal. 54(4), 2466–2489 (2016)
D. Hoff, Invariant regions for systems of conservation laws. Trans. Am. Math. Soc. 289(2), 591–610 (1985)
Y. Jiang, H. Liu, An invariant-region-preserving limiter for DG schemes to isentropic Euler equations. To appear in Numerical Methods Partial Differential Equation (2018)
Y. Jiang, H. Liu, Invariant-region-preserving DG Methods for Multi-dimensional Hyperbolic Conservation Law Systems, with an Application to Compressible Euler Equations. J. Comput. Phys. (2018). http://doi.org/10.1016/j.jcp.2018.03.004
R.J. LeVeque, Finite Volume Methods for Hyperbolic Problems, vol. 31 (Cambridge University Press, Cambridge, 2002)
B. Perthame, C.-W. Shu, On positivity preserving finite volume schemes for Euler equations. Numerische Mathematik 73, 119–130 (1996)
C.-W. Shu, Total-variation-diminishing time discretizations. SIAM J. Sci. Stat. Comput. 9, 1073–1084 (1988)
C.-W. Shu, S. Osher, Efficient implementation of essentially non-oscillatory shock-capturing schemes. J. Comput. Phys. 77, 439–471 (1988)
J. Smoller, Shock Waves and Reaction-Diffusion Equations. Grundlehren der Mathematischen Wissenschaften, vol. 258 (Springer, New York, 1983)
E. Tadmor, A minimum entropy principle in the gas dynamics equations. Appl. Numer. Math. 2, 211–219 (1986)
X. Zhang, On positivity-preserving high order discontinuous Galerkin schemes for compressible Navier-Stokes equations. J. Comput. Phys. 328, 301343 (2017)
X. Zhang, C.-W. Shu, On maximum-principle-satisfying high order schemes for scalar conservation laws. J. Comput. Phys. 229, 3091–3120 (2010)
X. Zhang, C.-W. Shu, On positivity preserving high order discontinuous Galerkin schemes for compressible Euler equations on rectangular meshes. J. Comput. Phys. 229, 8918–8934 (2010)
X. Zhang, C.-W. Shu, A minimum entropy principle of high order schemes for gas dynamics equations. Numerische Mathematik 121, 545–563 (2012)
X. Zhang, Y. Xia, C.-W. Shu, Maximum-principle-satisfying and positivity-preserving high order discontinuous Galerkin schemes for conservation laws on triangular meshes. J. Sci. Comput. 50, 29–62 (2012)
Acknowledgements
This work was supported in part by the National Science Foundation under Grant DMS1312636 and by NSF Grant RNMS (KI-Net) 1107291.
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Jiang, Y., Liu, H. (2018). An Invariant-Region-Preserving (IRP) Limiter to DG Methods for Compressible Euler Equations. In: Klingenberg, C., Westdickenberg, M. (eds) Theory, Numerics and Applications of Hyperbolic Problems II. HYP 2016. Springer Proceedings in Mathematics & Statistics, vol 237. Springer, Cham. https://doi.org/10.1007/978-3-319-91548-7_5
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