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hal.structure.identifierParallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems [BACCHUS]
dc.contributor.authorCONGEDO, Pietro Marco
hal.structure.identifierInstitut Pprime [UPR 3346] [PPrime [Poitiers]]
dc.contributor.authorGONCALVES DA SILVA, Eric
hal.structure.identifierCertified Adaptive discRete moDels for robust simulAtions of CoMplex flOws with Moving fronts [CARDAMOM]
dc.contributor.authorRODIO, Maria Giovanna
dc.date.issued2015
dc.identifier.issn0997-7546
dc.description.abstractEnPrediction in numerical simulation of turbulent cavitating flows is strongly influenced by the presence of several empirical coefficients.The aim of the present paper is to explore the interaction between the cavitation model and turbulence in terms of uncertainty propagation through an unsteady numerical solver, for assessing the robustness and the accuracy of the physical models at different times. Furthermore, the influence of experimental data in the setting of some turbulence and cavitation model coefficients is investigated by means of a Bayesian approach. Finally, the interest is to provide some innovative insights for improving the understanding of these models for cavitating flows.
dc.language.isoen
dc.publisherElsevier
dc.subject.enCavitation
dc.subject.enTurbulence
dc.subject.enUncertainty quantification
dc.subject.enBayesian-based methods
dc.title.enAbout the uncertainty quantification of turbulence and cavitation models in cavitating flows simulations
dc.typeArticle de revue
dc.identifier.doi10.1016/j.euromechflu.2015.05.005
dc.subject.halPhysique [physics]/Mécanique [physics]/Mécanique des fluides [physics.class-ph]
bordeaux.journalEuropean Journal of Mechanics - B/Fluids
bordeaux.page190–204
bordeaux.volume53
bordeaux.peerReviewedoui
hal.identifierhal-01157952
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01157952v1
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