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dc.rights.licenseopenen_US
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorORDAZ HERNANDEZ, Keny
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorFISCHER, Xavier
dc.contributor.authorBENNIS, Fouad
dc.date.accessioned2023-09-18T09:06:08Z
dc.date.available2023-09-18T09:06:08Z
dc.date.issued2007
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/183700
dc.description.abstractEnThis article illustrates a model selection management approach for virtual prototypes in interactive simulations. In those numerical simulations, the virtual prototype and its environment are modelled as a multi-agent system, where every entity (prototype, human, etc.) is modelled as an agent. In particular, virtual prototyping agents that provide mathematical models of mechanical behaviour in form of computational methods are considered. This work argues that selection of an appropriate model in a changing environment, supported by models' characteristics, can be managed by the determination a priori of specific exploitation and performance measures of virtual prototype models. As different models exist to represent a single phenomenon, it is not always possible to select the best one under all possible circumstances of the environment. Instead the most appropriate shall be selecting according to the use case. The proposed approach consists in identifying relevant metrics or indicators for each group of models (e.g. entity models, global model), formulate their qualification, analyse the performance, and apply the qualification criteria. Then, a model can be selected based on the performance prediction obtained from its qualification. The authors hope that this approach will not only help to inform engineers and researchers about another approach for selecting virtual prototype models, but also assist virtual prototype engineers in the systematic or automatic model selection.
dc.language.isoENen_US
dc.title.enA Mathematical Representation for Mechanical Model Assessment: Numerical Model Qualification Method
dc.typeArticle de revueen_US
dc.subject.halMathématiques [math]/Analyse numérique [math.NA]en_US
dc.subject.halInformatique [cs]/Modélisation et simulationen_US
bordeaux.journalInternational Journal of Mathematics Sciencesen_US
bordeaux.page216--226en_US
bordeaux.volume1en_US
bordeaux.hal.laboratoriesESTIA - Rechercheen_US
bordeaux.issue4en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionBordeaux Sciences Agroen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcehal
hal.identifierhal-00173999
hal.version1
hal.popularnonen_US
hal.audienceNon spécifiéeen_US
hal.exportfalse
workflow.import.sourcehal
dc.subject.itvirtual prototype models
dc.subject.itdomain
dc.subject.itqualification criterion
dc.subject.itmodel qualification
dc.subject.itmodel assessment
dc.subject.itenvironmental modelling
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=International%20Journal%20of%20Mathematics%20Sciences&rft.date=2007&rft.volume=1&rft.issue=4&rft.spage=216--226&rft.epage=216--226&rft.au=ORDAZ%20HERNANDEZ,%20Keny&FISCHER,%20Xavier&BENNIS,%20Fouad&rft.genre=article


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