Model Order Reduction of Non-Linear Magnetostatic Problems Based on POD and DEI Methods
dc.contributor.author
hal.structure.identifier | HENNERON, Thomas
|
dc.contributor.author
hal.structure.identifier | CLENET, Stéphane
|
dc.date.accessioned | 2014 |
dc.date.available | 2014 |
dc.date.issued | 2014 |
dc.date.submitted | 2014 |
dc.identifier.issn | 0018-9464 |
dc.identifier.uri | http://hdl.handle.net/10985/7816 |
dc.description.abstract | In the domain of numerical computation, Model Order Reduction approaches are more and more frequently applied in mechanics and have shown their efficiency in terms of reduction of computation time and memory storage requirements. One of these approaches, the Proper Orthogonal Decomposition (POD), can be very efficient in solving linear problems but encounters limitations in the non-linear case. In this paper, the Discret Empirical Interpolation Method coupled with the POD method is presented. This is an interesting alternative to reduce large-scale systems deriving from the discretization of non-linear magnetostatic problems coupled with an external electrical circuit. |
dc.language.iso | en |
dc.publisher | Institute of Electrical and Electronics Engineers |
dc.rights | Post-print |
dc.subject | Discret Empirical Interpolation Method |
dc.subject | Model Order Reduction |
dc.subject | Non linear Problem |
dc.subject | Proper Orthogonal Decomposition |
dc.subject | Static Fields |
dc.subject | POD DEIM |
dc.title | Model Order Reduction of Non-Linear Magnetostatic Problems Based on POD and DEI Methods |
dc.identifier.doi | 10.1109/TMAG.2013.2284231 |
dc.typdoc | Article dans une revue avec comité de lecture |
dc.localisation | Centre de Lille |
dc.subject.hal | Sciences de l'ingénieur: Electromagnétisme |
ensam.audience | Internationale |
ensam.page | n.c. |
ensam.journal | IEEE Transactions on Magnetics |
ensam.volume | 50 |
ensam.issue | 2 |
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