Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6718
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dc.contributor.authorAradağ, Selin-
dc.contributor.authorSiegel, Stefan-
dc.contributor.authorSeidel, Jurgen-
dc.contributor.authorCohen, Kelly-
dc.contributor.authorMcLaughlin, Thomas-
dc.date.accessioned2021-09-11T15:43:18Z-
dc.date.available2021-09-11T15:43:18Z-
dc.date.issued2011en_US
dc.identifier.issn0271-2091-
dc.identifier.issn1097-0363-
dc.identifier.urihttps://doi.org/10.1002/fld.2238-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/6718-
dc.description.abstractLow-dimensional models have proven essential for feedback control and estimation of flow fields. While feedback control based on global flow estimation can be very efficient, it is often difficult to estimate the flow state if structures of very different length scales are present in the flow. The conventional snapshot-based proper orthogonal decomposition (POD), a popular method for low-order modeling, does not separate the structures according to size, since it optimizes modes based on energy. Two methods are developed in this study to separate the structures in the flow based on size. One of them is Hybrid Filtered POD method and the second one is 3D FFT-based Filtered POD approach performed using a fast Fourier transform (FFT)-based spatial filtering. In both the methods, a spatial low-pass filter is employed to precondition snapshot sets before deriving POD modes. Three-dimensional flow data from the simulation of turbulent flow over a circular cylinder wake at Re=20000 is used to evaluate the performance of the two methods. Results show that both the FFT-based 3D Filtered POD and Hybrid Filtered POD are able to capture the large-scale features of the flow, such as the von Karman vortex street, while not being contaminated by small-scale turbulent structures present in the flow. Copyright (C) 2010 John Wiley & Sons, Ltd.en_US
dc.description.sponsorshipAir Force Office of Scientific ResearchUnited States Department of DefenseAir Force Office of Scientific Research (AFOSR) [FA-955005C0048]en_US
dc.description.sponsorshipContract/grant sponsor: Air Force Office of Scientific Research; contract/grant number: FA-955005C0048en_US
dc.language.isoenen_US
dc.publisherWiley-Blackwellen_US
dc.relation.ispartofInternational Journal For Numerical Methods In Fluidsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectvon Karman vortex streeten_US
dc.subjectvortex sheddingen_US
dc.subjectlow-dimensional modelingen_US
dc.subjectproper orthogonal decompositionen_US
dc.subjectcylinder wakeen_US
dc.subjectfiltered PODen_US
dc.subjecthybrid PODen_US
dc.titleFiltered POD-based low-dimensional modeling of the 3D turbulent flow behind a circular cylinderen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Mechanical Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Makine Mühendisliği Bölümütr_TR
dc.identifier.volume66en_US
dc.identifier.issue1en_US
dc.identifier.startpage1en_US
dc.identifier.endpage16en_US
dc.authorid0000-0002-8655-1465-
dc.authorid0000-0002-2034-0008-
dc.identifier.wosWOS:000289370000001en_US
dc.identifier.scopus2-s2.0-79953145375en_US
dc.institutionauthorAradağ, Selin-
dc.identifier.doi10.1002/fld.2238-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ2-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairetypeArticle-
item.cerifentitytypePublications-
item.languageiso639-1en-
Appears in Collections:Makine Mühendisliği Bölümü / Department of Mechanical Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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