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dc.contributor.authorWiser, Ralph
dc.contributor.authorBaglietto, Emilio
dc.date.accessioned2025-12-08T16:05:08Z
dc.date.available2025-12-08T16:05:08Z
dc.date.issued2024-07-02
dc.identifier.urihttps://hdl.handle.net/1721.1/164229
dc.description.abstractTurbulent heat transfer in buoyancy-dominated flows is a challenging problem for computational fluid dynamics (CFD). Many authors attribute model error in these conditions to the Reynolds analogy. We leverage a brand-new direct numerical simulation database to evaluate the performance of several popular turbulence models in buoyant diabatic channel flow. We find that heat transfer results are relatively accurate, with a Nusselt number error less than 20%. However, the turbulent flow solution is very inaccurate, with wall shear overpredicted by up to 100%. This indicates significant turbulence model error in such flows. We determined that the dominant sources of model error are missing physics in the algebraic Reynolds stress framework and the simple buoyancy production term used in industrial CFD. We suggest that future modeling efforts focus on these two sources of model error. We demonstrate that the Reynolds analogy is not the dominant source of model error.en_US
dc.language.isoen
dc.publisherTaylor & Francisen_US
dc.relation.isversionofhttps://doi.org/10.1080/00295450.2023.2202802en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivativesen_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceTaylor & Francisen_US
dc.titleAssessment of Engineering Turbulence Models in Buoyant Diabatic Turbulent Flowen_US
dc.typeArticleen_US
dc.identifier.citationWiser, R., & Baglietto, E. (2024). Assessment of Engineering Turbulence Models in Buoyant Diabatic Turbulent Flow. Nuclear Technology, 210(7), 1143–1166.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Nuclear Science and Engineeringen_US
dc.relation.journalNuclear Technologyen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2025-12-08T15:47:39Z
dspace.orderedauthorsWiser, R; Baglietto, Een_US
dspace.date.submission2025-12-08T15:47:41Z
mit.journal.volume210en_US
mit.journal.issue7en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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