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dc.contributor.authorBrown, Cameron
dc.contributor.authorBolotnov, Igor A.
dc.contributor.authorTryggvason, Gretar
dc.contributor.authorLu, Jiacai
dc.contributor.authorMagolan, Benjamin Lawrence
dc.contributor.authorBaglietto, Emilio
dc.date.accessioned2018-07-19T13:44:07Z
dc.date.available2018-07-19T13:44:07Z
dc.date.issued2017-08
dc.date.submitted2017-07
dc.identifier.issn1738-5733
dc.identifier.urihttp://hdl.handle.net/1721.1/116997
dc.description.abstractDirect Numerical Simulation (DNS) serves as an irreplaceable tool to probe the complexities of multiphase flow and identify turbulent mechanisms that elude conventional experimental measurement techniques. The insights unlocked via its careful analysis can be used to guide the formulation and development of turbulence models used in multiphase computational fluid dynamics simulations of nuclear reactor applications. Here, we perform statistical analyses of DNS bubbly flow data generated by Bolotnov (Reτ= 400) and Lu–Tryggvason (Reτ= 150), examining single-point statistics of mean and turbulent liquid properties, turbulent kinetic energy budgets, and two-point correlations in space and time. Deformability of the bubble interface is shown to have a dramatic impact on the liquid turbulent stresses and energy budgets. A reduction in temporal and spatial correlations for the streamwise turbulent stress (uu) is also observed at wall-normal distances of y+= 15, y/δ = 0.5, and y/δ = 1.0. These observations motivate the need for adaptation of length and time scales for bubble-induced turbulence models and serve as guidelines for future analyses of DNS bubbly flow data. Keywords: Budget Equations, Bubble-Induced Turbulence, DNS, M&C2017, Multiphase CFDen_US
dc.description.sponsorshipUnited States. Department of Energy. Naval Reactors Division (Rickover Fellowship Program in Nuclear Engineering)en_US
dc.publisherElsevier BVen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/J.NET.2017.08.001en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceElsevieren_US
dc.titleMultiphase turbulence mechanisms identification from consistent analysis of direct numerical simulation dataen_US
dc.typeArticleen_US
dc.identifier.citationMagolan, Ben, et al. “Multiphase Turbulence Mechanisms Identification from Consistent Analysis of Direct Numerical Simulation Data.” Nuclear Engineering and Technology, vol. 49, no. 6, Sept. 2017, pp. 1318–25.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Nuclear Science and Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Nuclear Scienceen_US
dc.contributor.mitauthorMagolan, Benjamin Lawrence
dc.contributor.mitauthorBaglietto, Emilio
dc.relation.journalNuclear Engineering and 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.updated2018-07-16T14:07:12Z
dspace.orderedauthorsMagolan, Ben; Baglietto, Emilio; Brown, Cameron; Bolotnov, Igor A.; Tryggvason, Gretar; Lu, Jiacaien_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-3054-7026
dc.identifier.orcidhttps://orcid.org/0000-0001-8720-9437
mit.licensePUBLISHER_CCen_US


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