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 hal.structure.identifier
HENNERON, Thomas
13338 Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
dc.contributor.author
 hal.structure.identifier
MONTIER, Laurent
13338 Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
dc.contributor.author
 hal.structure.identifier
PIERQUIN, Antoine
13338 Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
dc.contributor.author
 hal.structure.identifier
CLENET, Stéphane
13338 Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
dc.date.accessioned2017
dc.date.available2017
dc.date.issued2017
dc.date.submitted2017
dc.identifier.issn0018-9464
dc.identifier.urihttp://hdl.handle.net/10985/11757
dc.description.abstractProper Orthogonal Decomposition (POD) has been successfully used to reduce the size of linear Finite Element (FE) problems, and thus the computational time associated with. When considering a nonlinear behavior law of the ferromagnetic materials, the POD is not so efficient due to the high computational cost associated to the nonlinear entries of the full FE model. Then, the POD approach must be combined with an interpolation method to efficiently deal with the nonlinear terms, and thus obtaining an efficient reduced model. An interpolation method consists in computing a small number of nonlinear entries and interpolating the other terms. Different methods have been presented to select the set of nonlinear entries to be calculated. Then, the (Discrete) Empirical Interpolation method ((D)EIM) and the Best Points Interpolation Method (BPIM) have been developed. In this article, we propose to compare two reduced models based on the POD-(D)EIM and on the POD-BPIM in the case of nonlinear magnetostatics coupled with electric equation.
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers
dc.rightsPre-print
dc.subjectBest Points Interpolation Method
dc.subjectEmpirical Interpolation Method
dc.subjectProper Orthogonal Decomposition
dc.titleComparison of DEIM and BPIM to Speed up a POD-based Nonlinear Magnetostatic Model
dc.identifier.doi10.1109/TMAG.2017.2660243
dc.typdocArticle dans une revue avec comité de lecture
dc.localisationCentre de Lille
dc.subject.halMathématique: Analyse numérique
dc.subject.halSciences de l'ingénieur: Electromagnétisme
ensam.audienceInternationale
ensam.page1-4
ensam.journalIEEE Transactions on Magnetics
ensam.volume53
ensam.issue1
ensam.peerReviewingOui
hal.identifierhal-01519746
hal.version1
hal.statusaccept


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