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dc.contributor.authorTESSIER, Paul
dc.contributor.author
 hal.structure.identifier
PERNOT, Jean-Philippe
178374 Laboratoire des Sciences de l'Information et des Systèmes : Ingénierie Numérique des Systèmes Mécaniques [LSIS- INSM]
dc.date.accessioned2016
dc.date.available2016
dc.date.issued2014
dc.date.submitted2016
dc.identifier.isbn978-94-6186-177-1
dc.identifier.urihttp://hdl.handle.net/10985/11375
dc.description.abstractSince the quality of FE meshes strongly affects the quality of the FE simulations, it is known to be very important to generate good quality meshes. Thus, it is crucial to be able to estimate very early what can be the expected quality of a mesh without having to play in loop with several control parameters. This paper addresses the way the quality of FE meshes can be estimated a priori, i.e. before meshing the CAD models. In this way, designers can generate good quality meshes at first glance. Our approach is based on the use of a set of rules which allow estimating what will be the mesh quality according to the shape characteristics of the CAD model to be meshed. Those rules are built using Machine Learning Techniques, notably classification ones, which analyse a huge amount of configurations for which the shape characteristics of both the CAD models and meshes are known. For an unknown configuration, i.e. for a CAD model not yet meshed, the learnt rules help understanding what can be the expected classes of quality, or in another way what are the control parameters to be set up to reach a given mesh quality. The proposed approach has been implemented and tested on academic and industrial examples.
dc.language.isoen
dc.publisherDelft University of Technology
dc.rightsPost-print
dc.subjectFinite Element Method
dc.subjectMeshing
dc.subjectCAD model characterization
dc.subjectMesh quality
dc.subjectA priori quality estimation
dc.subjectMachine Learning Techniques
dc.titleTowards a priori mesh quality estimation using Machine Learning Techniques
dc.typdocCommunication avec acte
dc.localisationCentre de Aix en Provence
dc.subject.halInformatique: Modélisation et simulation
dc.subject.halSciences de l'ingénieur: Mécanique
dc.subject.halSciences de l'ingénieur: Mécanique: Génie mécanique
ensam.audienceInternationale
ensam.conference.titleTools and Methods for Competitive Engineering (TMCE’14)
ensam.conference.date2014
ensam.countryHongrie
ensam.title.proceedingProceeding of Tools and Methods for Competitive Engineering
ensam.page1019-1028
ensam.volume1
ensam.cityBudapest
ensam.peerReviewingOui
ensam.invitedCommunicationNon
ensam.proceedingOui
hal.identifierhal-01407039
hal.version1
hal.statusaccept


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