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hal.structure.identifierDMPE, ONERA, Université de Toulouse [Toulouse]
dc.contributor.authorSCHOULER, Marc
hal.structure.identifierDMPE, ONERA, Université de Toulouse [Toulouse]
dc.contributor.authorPRÉVEREAUD, Ysolde
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorMIEUSSENS, Luc
dc.date.issued2022-12-28
dc.identifier.issn0094-5765
dc.description.abstractEnSince their development at the end of the 50s, panel methods were widely used for the fast simulation of aerospace objects reentry. Although improvements were proposed for the continuum regime formulations, the bridging functions usually employed in the transitional regime did not go through major changes since then. With the current interest in designing Very Low Earth Orbit satellites and more efficient reentry vehicles, a greater level of preciseness is now required for the fast computation of the aerodynamic and aerothermodynamic wall quantities in rarefied regime. In this context, this paper presents a new approach to build Machine Learning based surrogates going from the choice of the design variables and the Design of Experiments, to the models training and evaluation. Hence, kriging and Artificial Neural Networks are respectively trained to predict the pressure and heat flux stagnation coefficients, and the pressure, friction and heat flux coefficient distributions in the rarefied portion of any aerodynamic shape’s re-entry.
dc.language.isoen
dc.publisherElsevier
dc.subjectMODELES DE SUBSTITUTION
dc.subjectAEROTHERMODYNAMIQUE
dc.subjectAERODYNAMIQUE
dc.subjectÉCOULEMENT HYPERSONIQUE RAREFIE
dc.subjectRENTREE DANS LA TERRE
dc.subject.enSURROGATE MODELS
dc.subject.enAEROTHERMODYNAMIC
dc.subject.enAERODYNAMIC
dc.subject.enRAREFIED HYPERSONIC FLOW
dc.subject.enEARTH REENTRY
dc.title.enMachine Learning based reduced models for the aerothermodynamic and aerodynamic wall quantities in hypersonic rarefied conditions
dc.typeArticle de revue
dc.identifier.doi10.1016/j.actaastro.2022.12.039
dc.subject.halPhysique [physics]
dc.subject.halChimie
dc.subject.halSciences de l'ingénieur [physics]
bordeaux.journalActa Astronautica
bordeaux.page83-106
bordeaux.volume204
bordeaux.peerReviewedoui
hal.identifierhal-03932397
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03932397v1
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