2013
DOI: 10.1016/j.jcp.2013.06.026
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A parametrized maximum principle preserving flux limiter for finite difference RK-WENO schemes with applications in incompressible flows

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Cited by 48 publications
(71 citation statements)
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“…In the above two scenarios, the expansions result in similar formulas to those given in the second part of the proof of Theorem 3.2 in [19], and satisfy the exact same relations as those in that proof. Using the same argument as the proof of [19], it can be shown one of the relations u(…”
Section: Case (2)supporting
confidence: 66%
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“…In the above two scenarios, the expansions result in similar formulas to those given in the second part of the proof of Theorem 3.2 in [19], and satisfy the exact same relations as those in that proof. Using the same argument as the proof of [19], it can be shown one of the relations u(…”
Section: Case (2)supporting
confidence: 66%
“…The main advantage of this new parametrized limiter is that the designed order of accuracy of the base WENO/DG schemes are maintained without excessively restricting the CFL. Later in [19], Xiong et al improved the CFL constraint and reduced computational cost by applying the parametrized MPP flux limiter to the final RK stage only. It was also proven in [19] that the parametrized MPP flux limiter can maintain up to third order accuracy in space and time for one-dimensional nonlinear scalar conservation laws on uniform meshes.…”
Section: Introductionmentioning
confidence: 99%
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“…In addition, some more recently proposed maximum-principle-preserving algorithms can assure the non-negativity of high-order transport models. A flux correction algorithm was proposed in Xiong et al (2013) for the high-order Runge-Kutta RK-WENO schemes to guarantee the non-negative solution by imposing the restrictions on the deviations between high-order and low-order fluxes. This algorithm can be applied in a one-dimensional multimoment model following the similar numerical procedure described hereafter by modifying the PVs according to the values of the corrected fluxes.…”
Section: Introductionmentioning
confidence: 99%