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dc.contributor.authorBaudron, Anne-Marie
dc.contributor.authorLautard, Jean-Jacques
dc.contributor.authorMaday, Yvon
dc.contributor.authorRiahi, Mohamed Kamel
HAL ID: 4859
dc.contributor.authorSalomon, Julien
HAL ID: 738224
dc.subjectParareal in time algorithmen
dc.subjectTime-dependent neutron diffusion equationsen
dc.subjectHigh performance computingen
dc.titleParareal in time 3D numerical solver for the LWR Benchmark neutron diffusion transient modelen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenIn this paper we present a time-parallel algorithm for the 3D neutrons calculation of a transient model in a nuclear reactor core. The neutrons calculation consists in numerically solving the time dependent diffusion approximation equation, which is a simplified transport equation. The numerical resolution is done with finite elements method based on a tetrahedral meshing of the computational domain, representing the reactor core, and time discretization is achieved using a θ-scheme. The transient model presents moving control rods during the time of the reaction. Therefore, cross-sections (piecewise constants) are taken into account by interpolations with respect to the velocity of the control rods. The parallelism across the time is achieved by an adequate use of the parareal in time algorithm to the handled problem. This parallel method is a predictor corrector scheme that iteratively combines the use of two kinds of numerical propagators, one coarse and one fine. Our method is made efficient by means of a coarse solver defined with large time step and fixed position control rods model, while the fine propagator is assumed to be a high order numerical approximation of the full model. The parallel implementation of our method provides a good scalability of the algorithm. Numerical results show the efficiency of the parareal method on large light water reactor transient model corresponding to the Langenbuch–Maurer–Werner benchmark.en
dc.relation.isversionofjnlnameJournal of Computational Physics
dc.subject.ddclabelProbabilités et mathématiques appliquéesen

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