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dc.contributor.authorFeng, Jinyong
dc.contributor.authorActon, Michael
dc.contributor.authorBaglietto, Emilio
dc.contributor.authorKraus, Adam R
dc.contributor.authorMerzari, Elia
dc.date.accessioned2021-10-27T19:52:38Z
dc.date.available2021-10-27T19:52:38Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/133401
dc.description.abstract© 2020 Elsevier Ltd Helical-coil steam generators are being adopted in a number of advanced nuclear reactor designs because of their increased heat transfer efficiency and compactness. Due to the limited operational experience and the expected high cost of dedicated experiments, it is imperative to demonstrate the modeling capability. Computational fluid dynamics is ideally suited for this problem, due to its high resolution and accuracy. However, traditional low-cost URANS turbulence models have shown limited applicability for cross-flow in helical tube bundles. On the other hand, LES methods provide high-accuracy and high-fidelity data with prohibitively high computational cost for design use. In this work, the recently proposed hybrid second-generation model STRUCT is compared to classic URANS turbulence formulations against high-fidelity LES simulations. The STRUCT model produces accurate predictions for all relevant quantities, demonstrating high potential for reproducing helical-coil tube bundle flow phenomena accurately, at an affordable computational cost.
dc.language.isoen
dc.publisherElsevier BV
dc.relation.isversionof10.1016/J.ANUCENE.2019.107298
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs License
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceDOE repository
dc.titleOn the relevance of turbulent structures resolution for cross-flow in a helical-coil tube bundle
dc.typeArticle
dc.contributor.departmentMassachusetts Institute of Technology. Department of Nuclear Science and Engineering
dc.relation.journalAnnals of Nuclear Energy
dc.eprint.versionAuthor's final manuscript
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2021-08-10T14:16:45Z
dspace.orderedauthorsFeng, J; Acton, M; Baglietto, E; Kraus, AR; Merzari, E
dspace.date.submission2021-08-10T14:16:47Z
mit.journal.volume140
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Needed


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