Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/75285

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dc.contributor.authorRibau, Ângela M.por
dc.contributor.authorGonçalves, Nelson D.por
dc.contributor.authorFerrás, Luís Jorge Limapor
dc.contributor.authorAfonso, Alexandre M.por
dc.date.accessioned2022-01-07T09:17:37Z-
dc.date.available2022-01-07T09:17:37Z-
dc.date.issued2021-10-25-
dc.identifier.issn2311-5521por
dc.identifier.urihttps://hdl.handle.net/1822/75285-
dc.description.abstractNumerical simulations of fluid flows can produce a huge amount of data and inadvertently important flow structures can be ignored, if a thorough analysis is not performed. The identification of these flow structures, mainly in transient situations, is a complex task, since such structures change in time and can move along the domain. With the decomposition of the entire data set into smaller sets, important structures present in the main flow and structures with periodic behaviour, like vortices, can be identified. Therefore, through the analysis of the frequency of each of these components and using a smaller number of components, we show that the Proper Orthogonal Decomposition can be used not only to reduce the amount of significant data, but also to obtain a better and global understanding of the flow (through the analysis of specific modes). In this work, the von Kármán vortex street is decomposed into a generator base and analysed through the Proper Orthogonal Decomposition for the 2D flow around a cylinder and the 2D flow around two cylinders with different radii. We consider a Newtonian fluid and two non-Newtonian power-law fluids, with n=0.7 and n=1.3. Grouping specific modes, a reconstruction is made, allowing the identification of complex structures that otherwise would be impossible to identify using simple post-processing of the fluid flow.por
dc.description.sponsorshipThis research was funded by FCT( Fundacao para a Ciencia e a Tecnologia I.P.), FSE (Fundo Social Europeu), NORTE2020, CEFT (Centro de Estudos de Fenomenos de Transporte) and by FEDER funds through COMPETE2020. Grants: PTDC/EMS-ENE/3362/2014, POCI-01-0145-FEDER-016665, UIDB/00013/2020, UIDP/00013/2020, UIDP/00532/2020, UIDB/00532/2020, SFRH/BD/143950/2019.por
dc.language.isoengpor
dc.publisherMDPIpor
dc.relationinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FEMS-ENE%2F3362%2F2014/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00013%2F2020/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00013%2F2020/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00532%2F2020/PT-
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00532%2F2020/PT-
dc.relationinfo:eu-repo/grantAgreement/FCT/POR_NORTE/SFRH%2FBD%2F143950%2F2019/PT-
dc.rightsopenAccesspor
dc.subjectProper orthogonal decomposition (POD)por
dc.subjectNavier–Stokes equationspor
dc.subjectComputational fluid dynamics (CFD)por
dc.subjectVon Kármán vortex streetpor
dc.titleFlow structures identification through proper orthogonal decomposition: The flow around two distinct cylinderspor
dc.typearticlepor
dc.peerreviewedyespor
dc.relation.publisherversionhttps://doi.org/10.3390/fluids6110384por
oaire.citationIssue11por
oaire.citationVolume6por
dc.identifier.doi10.3390/fluids6110384por
dc.subject.fosCiências Naturais::Matemáticaspor
dc.subject.fosCiências Naturais::Ciências da Computação e da Informaçãopor
dc.subject.fosEngenharia e Tecnologia::Engenharia Mecânicapor
dc.subject.wosScience & Technologypor
sdum.journalFluidspor
oaire.versionVoRpor
dc.subject.odsIndústria, inovação e infraestruturaspor
Aparece nas coleções:CMAT - Artigos em revistas com arbitragem / Papers in peer review journals

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