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Data-driven upscaling of orientation kinematics in suspensions of rigid fibres

hal.structure.identifierInstitut de Calcul Intensif [ICI]
hal.structure.identifierInstitute of Information and Communication Technologies, Electronics and Applied Mathematics [ICTEAM]
dc.contributor.authorSCHEUER, Adrien
hal.structure.identifierLaboratoire Angevin de Mécanique, Procédés et InnovAtion [LAMPA]
dc.contributor.authorAMMAR, Amine
hal.structure.identifierInstitut de Calcul Intensif [ICI]
dc.contributor.authorABISSET, Emmanuelle
hal.structure.identifierAragón Institute of Engineering Research [Zaragoza] [I3A]
dc.contributor.authorCUETO, Elías
hal.structure.identifierLaboratoire Procédés et Ingénierie en Mécanique et Matériaux [PIMM]
dc.contributor.authorCHINESTA, Francisco
hal.structure.identifierInstitute of Information and Communication Technologies, Electronics and Applied Mathematics [ICTEAM]
dc.contributor.authorKEUNINGS, Roland
hal.structure.identifierUniversity of Delaware [Newark]
dc.contributor.authorADVANI, Suresh G.
dc.date.accessioned2021-05-14T09:42:05Z
dc.date.available2021-05-14T09:42:05Z
dc.date.issued2018
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/76697
dc.description.abstractEnDescribing the orientation state of the particles is often critical in fibre suspension applications. Macroscopic descriptors, the so-called second-order orientation tensor (or moment) leading the way, are often preferred due to their low computational cost. Closure problems however arise when evolution equations for the moments are derived from the orientation distribution functions and the impact of the chosen closure is often unpredictable. In this work, our aim is to provide macroscopic simulations of orientation that are cheap, accurate and closure-free. To this end, we propose an innovative data-based approach to the upscaling of orientation kinematics in the context of fibre suspensions. Since the physics at the microscopic scale can be modelled reasonably enough, the idea is to conduct accurate offline direct numerical simulations at that scale and to extract the corresponding macroscopic descriptors in order to build a database of scenarios. During the online stage, the macroscopic descriptors can then be updated quickly by combining adequately the items from the database instead of relying on an imprecise macroscopic model. This methodology is presented in the well-known case of dilute fibre suspensions (where it can be compared against closure-based macroscopic models) and in the case of suspensions of confined or electrically-charged fibres, for which state-of-the-art closures proved to be inadequate or simply do not exist.
dc.language.isoen
dc.publisherTech Science Press
dc.subject.enclosure approximations
dc.subject.enfibre suspensions
dc.subject.endata-driven upscaling
dc.title.enData-driven upscaling of orientation kinematics in suspensions of rigid fibres
dc.typeArticle de revue
dc.identifier.doi10.31614/cmes.2018.04278
dc.subject.halSciences de l'ingénieur [physics]
bordeaux.journalComputer Modeling in Engineering and Sciences
bordeaux.page367-386
bordeaux.volume117
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295*
bordeaux.issue3
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.institutionINRAE
bordeaux.institutionArts et Métiers
bordeaux.peerReviewedoui
hal.identifierhal-02162204
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02162204v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Computer%20Modeling%20in%20Engineering%20and%20Sciences&rft.date=2018&rft.volume=117&rft.issue=3&rft.spage=367-386&rft.epage=367-386&rft.au=SCHEUER,%20Adrien&AMMAR,%20Amine&ABISSET,%20Emmanuelle&CUETO,%20El%C3%ADas&CHINESTA,%20Francisco&rft.genre=article


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