2016
DOI: 10.1016/j.jcp.2015.12.039
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Third order maximum-principle-satisfying direct discontinuous Galerkin methods for time dependent convection diffusion equations on unstructured triangular meshes

Abstract: We develop 3rd order maximum-principle-satisfying direct discontinuous Galerkin methods [8,9,19,21] for convection diffusion equations on unstructured triangular mesh. We carefully calculate the normal derivative numerical flux across element edges and prove that, with proper choice of parameter pair (β 0 , β 1 ) in the numerical flux, the quadratic polynomial solution satisfies strict maximum principle. The polynomial solution is bounded within the given range and third order accuracy is maintained. There is … Show more

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Cited by 65 publications
(29 citation statements)
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“…Unfortunately, weak monotonicity holds only up to second order accuracy for any linear finite volume scheme and most DG schemes [24], see Appendix D. Surprisingly, it is still possible to construct a third order linear DG scheme satisfying the weak monotonicity. With special parameters, the direct DG (DDG) method, which is a generalized version of interior penalty DG method, indeed satisfies a weak monotonicity up to third order accuracy [25,26,27,28]. However, if we use Taylor expansion to examine the local truncation error in the numerical flux of this scheme, only second order accuracy is obtained.…”
Section: From Euler To Navier-stokes: Monotonicity In Discrete Laplacianmentioning
confidence: 99%
“…Unfortunately, weak monotonicity holds only up to second order accuracy for any linear finite volume scheme and most DG schemes [24], see Appendix D. Surprisingly, it is still possible to construct a third order linear DG scheme satisfying the weak monotonicity. With special parameters, the direct DG (DDG) method, which is a generalized version of interior penalty DG method, indeed satisfies a weak monotonicity up to third order accuracy [25,26,27,28]. However, if we use Taylor expansion to examine the local truncation error in the numerical flux of this scheme, only second order accuracy is obtained.…”
Section: From Euler To Navier-stokes: Monotonicity In Discrete Laplacianmentioning
confidence: 99%
“…The maximum‐principle for (4.22) means that if u 0 [ c 1 , c 2 ] e V ( x ) , then u ( x , t ) [ c 1 , c 2 ] e V ( x ) for all t > 0, which implies the usual maximum‐principle for diffusion u ( x , t ) [ c 1 , c 2 ] for all t > 0. Extension to unstructured meshes is nontrivial, we refer to for some recent results in solving diffusion equations over triangular meshes.…”
Section: Irp High Order Schemesmentioning
confidence: 99%
“…Euler equations to maintain positivity for density and pressure [277], but it has restrictions in order to keep the original high order accuracy. For convection-diffusion equations, this approach works for general DG methods to second order accuracy on arbitrary triangulations [282], and to third order accuracy for a special class of DG methods (the direct DG, or DDG methods) [30].…”
Section: Discontinuous Galerkin and Related Schemesmentioning
confidence: 99%