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Sensitivity Study of Ice Accretion Simulation to Roughness Thermal Correction Model

hal.structure.identifierEcole de Technologie Supérieure [Montréal] [ETS]
dc.contributor.authorIGNATOWICZ, Kevin
hal.structure.identifierEcole de Technologie Supérieure [Montréal] [ETS]
dc.contributor.authorMORENCY, François
hal.structure.identifierInstitut Polytechnique de Bordeaux [Bordeaux INP]
hal.structure.identifierCertified Adaptive discRete moDels for robust simulAtions of CoMplex flOws with Moving fronts [CARDAMOM]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorBEAUGENDRE, Héloïse
dc.date.accessioned2024-04-04T02:44:02Z
dc.date.available2024-04-04T02:44:02Z
dc.date.issued2021-03
dc.identifier.issn2226-4310
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/191375
dc.description.abstractEnThe effects of atmospheric icing can be anticipated by Computational Fluid Dynamics (CFD). Past studies show that the convective heat transfer influences the ice accretion and is itself a function of surface roughness. Uncertainty quantification (UQ) could help quantify the impact of surface roughness parameters on the reliability of ice accretion prediction. This paper aims to quantify ice accretion uncertainties and identify the key surface roughness correction parameters contributing the most to the uncertainties in a Reynolds-Averaged Navier-Stokes (RANS) formulation. Ice accretion simulations over a rough flat plate using two thermal correction models are used to construct a RANS database. Non-Intrusive Polynomial Chaos Expansion (NIPCE) metamodels are developed to predict the convective heat transfer and icing characteristics of the RANS database. The metamodels allow for the computation of the 95% confidence intervals of the output probability distribution (PDF) and of the sensitivity indexes of the roughness parameters according to their level of influence on the outputs. For one of the thermal correction models, the most influential parameter is the roughness height, whereas for the second model it is the surface correction coefficient. In addition, the uncertainty on the freestream temperature has a minor impact on the ice accretion sensitivity compared to the uncertainty on the roughness parameters.
dc.language.isoen
dc.publisherMDPI
dc.subject.enAircraft icing
dc.subject.enRoughness
dc.subject.enConvective heat transfer
dc.subject.enSensitivity study
dc.subject.enMetamodel
dc.subject.enSobol indices
dc.subject.enPolynomial chaos expansion
dc.title.enSensitivity Study of Ice Accretion Simulation to Roughness Thermal Correction Model
dc.typeArticle de revue
dc.identifier.doi10.3390/aerospace8030084
dc.subject.halInformatique [cs]/Modélisation et simulation
dc.subject.halPhysique [physics]/Mécanique [physics]/Mécanique des fluides [physics.class-ph]
bordeaux.journalAerospace
bordeaux.page84
bordeaux.volume8
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue3
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-03435025
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03435025v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Aerospace&rft.date=2021-03&rft.volume=8&rft.issue=3&rft.spage=84&rft.epage=84&rft.eissn=2226-4310&rft.issn=2226-4310&rft.au=IGNATOWICZ,%20Kevin&MORENCY,%20Fran%C3%A7ois&BEAUGENDRE,%20H%C3%A9lo%C3%AFse&rft.genre=article


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