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A Statistical Subgrid Scale Model for Large Eddy Simulations

dc.contributor.authorKara, Rukiye
dc.contributor.authorCaglar, Mine
dc.date.accessioned2025-01-09T20:12:05Z
dc.date.available2025-01-09T20:12:05Z
dc.date.issued2013
dc.identifier.isbn978-0-7354-1185-2
dc.identifier.issn0094-243X
dc.identifier.urihttps://doi.org/10.1063/1.4825487
dc.identifier.urihttps://hdl.handle.net/20.500.14124/8351
dc.description11th International Conference of Numerical Analysis and Applied Mathematics (ICNAAM) -- SEP 21-27, 2013 -- GREECEen_US
dc.description.abstractCinlar velocity is a promising subgrid velocity model for large eddy simulation. The energy spectrum plays a central role for modeling the subgrid stress term in filtered Navier-Stokes equations. Considering a truncated Gamma distribution for radius of eddies, the subgrid scale energy spectrum has been computed analytically. In this study, we develop a new subgrid stress model for representing the small scale effects in LES by defining the parameters of the energy spectrum.en_US
dc.description.sponsorshipEuropean Soc Computat Methods Sci, Engn & Technol,Santilli Fdnen_US
dc.language.isoengen_US
dc.publisherAmer Inst Physicsen_US
dc.relation.ispartof11th International Conference of Numerical Analysis and Applied Mathematics 2013, Pts 1 and 2 (Icnaam 2013)en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectStochastic flowsen_US
dc.subjecthomogeneous turbulenceen_US
dc.subjectlarge eddy simulationen_US
dc.subjectsubgrid stress modelingen_US
dc.titleA Statistical Subgrid Scale Model for Large Eddy Simulationsen_US
dc.typeconferenceObjecten_US
dc.authoridCaglar, Mine/0000-0001-9452-5251
dc.departmentMimar Sinan Güzel Sanatlar Üniversitesien_US
dc.identifier.doi10.1063/1.4825487
dc.identifier.volume1558en_US
dc.identifier.startpage318en_US
dc.identifier.endpage321en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.wosqualityN/A
dc.identifier.wosWOS:000331472800077
dc.identifier.scopus2-s2.0-84887553271
dc.identifier.scopusqualityQ4
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.snmzKA_20250105


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