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Efficient optimization procedure in non-linear fluid-structure interaction problem: Application to mainsail trimming in upwind conditions

hal.structure.identifierInstitut de Recherche de l'Ecole Navale [IRENAV]
dc.contributor.authorSACHER, Matthieu
hal.structure.identifierInstitut de Recherche de l'Ecole Navale [IRENAV]
dc.contributor.authorHAUVILLE, Frédéric
hal.structure.identifierAnalysis and Control of Unsteady Models for Engineering Sciences [ACUMES]
dc.contributor.authorDUVIGNEAU, Régis
hal.structure.identifierLaboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur [LIMSI]
dc.contributor.authorLE MAÎTRE, Olivier
hal.structure.identifierInstitut de Recherche de l'Ecole Navale [IRENAV]
dc.contributor.authorAUBIN, Nicolas
hal.structure.identifierEspaces et Sociétés [ESO]
dc.contributor.authorDURAND, Mathieu
dc.date.accessioned2021-05-14T09:50:28Z
dc.date.available2021-05-14T09:50:28Z
dc.date.issued2017-02
dc.identifier.issn0889-9746
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/77287
dc.description.abstractEnThis paper investigates the use of Gaussian processes to solve sail trimming optimization problems. The Gaussian process, used to model the dependence of the performance with the trimming parameters, is constructed from a limited number of performance estimations at carefully selected trimming points, potentially enabling the optimization of complex sail systems with multiple trimming parameters. The proposed approach is tested on a two-parameter trimming for a scaled IMOCA mainsail in upwind sailing conditions. We focus on the robustness of the proposed approach and study especially the sensitivity of the results to noise and model error in the point estimations of the performance. In particular, we contrast the optimization performed on a real physical model set in a wind tunnel with a fully non-linear numerical fluid structure interaction model of the same experiments. For this problem with a limited number of trimming parameters , the numerical optimization was affordable and found to require a comparable amount of performance estimation as for the experimental case. The results reveal a satisfactory agreement for the numerical and experimental optimal trimming parameters, considering the inherent sources of errors and uncertainties in both numerical and experimental approaches. Sensitivity analyses have been eventually performed in the numerical optimization problem to determine the dominant source of uncertainties and characterize the robustness of the optima.
dc.language.isoen
dc.publisherElsevier
dc.subject.enSail trimming optimization
dc.subject.enfluid structure interaction
dc.subject.enGaussian process model
dc.subject.enexperimental
dc.subject.ennumerical
dc.subject.enuncertainty quantification
dc.title.enEfficient optimization procedure in non-linear fluid-structure interaction problem: Application to mainsail trimming in upwind conditions
dc.typeArticle de revue
dc.identifier.doi10.1016/j.jfluidstructs.2016.12.006
dc.subject.halInformatique [cs]/Analyse numérique [cs.NA]
dc.subject.halMathématiques [math]/Equations aux dérivées partielles [math.AP]
dc.subject.halMathématiques [math]/Optimisation et contrôle [math.OC]
dc.subject.halSciences de l'ingénieur [physics]/Mécanique [physics.med-ph]/Mécanique des fluides [physics.class-ph]
bordeaux.journalJournal of Fluids and Structures
bordeaux.page209 - 231
bordeaux.volume69
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.institutionINRAE
bordeaux.institutionArts et Métiers
bordeaux.peerReviewedoui
hal.identifierhal-01589317
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01589317v1
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