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hal.structure.identifierLaboratoire des Sciences de l'Ingénieur pour l'Environnement - UMR 7356 [LaSIE]
dc.contributor.authorDUMON, Antoine
hal.structure.identifierLaboratoire des Sciences de l'Ingénieur pour l'Environnement - UMR 7356 [LaSIE]
dc.contributor.authorALLERY, Cyrille
hal.structure.identifierLaboratoire Angevin de Mécanique, Procédés et InnovAtion [LAMPA]
dc.contributor.authorAMMAR, Amine
dc.date.accessioned2021-05-14T09:55:22Z
dc.date.available2021-05-14T09:55:22Z
dc.date.issued2013-01
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/77687
dc.descriptionThe aim of this study is to apply proper generalized decomposition (PGD) to solve mixed-convection problems with and without mass transport in a two dimensional lid-driven cavity. PGD is an iterative reduced order model approach which consists of solving a partial differential equation while seeking the solution in separated form. Comparisons with results in the literature and with results from a standard solver are make. For the case of a mixed-convection problem without mass transfer, three Richardson numbers are considered, Ri=0.1, Ri=1, and Ri=10. In this case, PGD is seven times faster than the standard solver with Ri=10 with a similar accuracy. For the case with mass transfer, simulations are done with different Lewis numbers, Le=5, Le=25, and Le=50, and with different value of the ratio N between the solutal and the thermal Grashoff numbers. In this case, too, PGD is ten times faster than the standard solver.
dc.description.abstractEnThe aim of this study is to apply proper generalized decomposition (PGD) to solve mixed-convection problems with and without mass transport in a two dimensional lid-driven cavity. PGD is an iterative reduced order model approach which consists of solving a partial differential equation while seeking the solution in separated form. Comparisons with results in the literature and with results from a standard solver are make. For the case of a mixed-convection problem without mass transfer, three Richardson numbers are considered, Ri=0.1, Ri=1, and Ri=10. In this case, PGD is seven times faster than the standard solver with Ri=10 with a similar accuracy. For the case with mass transfer, simulations are done with different Lewis numbers, Le=5, Le=25, and Le=50, and with different value of the ratio N between the solutal and the thermal Grashoff numbers. In this case, too, PGD is ten times faster than the standard solver.
dc.language.isoen
dc.subject.enSimulation
dc.subject.enHeat transport
dc.subject.enMass transport
dc.subject.enProper generalized decomposition
dc.subject.enPGD
dc.title.enSimulation of Heat and Mass Transport in a Square Lid-Driven Cavity with Proper Generalized Decomposition (PGD)
dc.typeArticle de revue
dc.identifier.doi10.1080/10407790.2012.724991
dc.subject.halSciences de l'ingénieur [physics]/Mécanique [physics.med-ph]/Mécanique des fluides [physics.class-ph]
dc.subject.halSciences de l'ingénieur [physics]/Mécanique [physics.med-ph]/Mécanique des structures [physics.class-ph]
bordeaux.journalNumerical Heat Transfer, Part B: Fundamentals An International Journal of Computation and Methodology
bordeaux.page18-43
bordeaux.volume63
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295*
bordeaux.issue1
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.institutionINRAE
bordeaux.institutionArts et Métiers
bordeaux.peerReviewedoui
hal.identifierhal-01207113
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01207113v1
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