2018
DOI: 10.1016/j.cam.2018.04.017
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A comparative study of limiting strategies in discontinuous Galerkin schemes for the M1 model of radiation transport

Abstract: The M 1 minimum entropy moment system is a system of hyperbolic balance laws that approximates the radiation transport equation, and has many desirable properties. Among them are symmetric hyperbolicity, entropy decay, moment realizability, and correct behavior in the diffusion and free-streaming limits. However, numerical difficulties arise when approximating the solution of the M 1 model by high order numerical schemes; namely maintaining the realizability of the numerical solution and controlling spurious o… Show more

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Cited by 13 publications
(22 citation statements)
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“…Unfortunately, in general, explicit descriptions of the set of realizable moment vectors are not available for the classical moment approximations. Discretizations, especially of higher order, thus often struggle to keep the approximate solutions realizable [4,45,128,150,154,156,172]. Even for realizable moments, the optimization problem may be very ill-conditioned, in particular for moments close to the boundary of the realizable set, which further complicates the numerical treatment.…”
Section: Introductionmentioning
confidence: 99%
“…Unfortunately, in general, explicit descriptions of the set of realizable moment vectors are not available for the classical moment approximations. Discretizations, especially of higher order, thus often struggle to keep the approximate solutions realizable [4,45,128,150,154,156,172]. Even for realizable moments, the optimization problem may be very ill-conditioned, in particular for moments close to the boundary of the realizable set, which further complicates the numerical treatment.…”
Section: Introductionmentioning
confidence: 99%
“…The mechanism that causes the classical stochastic Galerkin method to loose hyperbolicity has been observed before in the context of high-order discontinuous-Galerkin schemes for hyperbolic systems, especially for moment systems (see, e.g., [3,9,26,29,32,37,38]). We use a similar technique, a "slope limiter", to "dampen" the Gibbs oscillations in the stochastic expansion in such a way that the resulting system is always hyperbolic.…”
Section: Introductionmentioning
confidence: 76%
“…To avoid spurious oscillations, the reconstruction has to be performed in characteristic variables [11,41,50]. To ensure the realizability-preserving property, we additionally use the realizability limiter derived in [11,41,45]. If we discretize (A.4) with a second-order SSP scheme, e.g.…”
Section: Discussionmentioning
confidence: 99%