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dc.contributor.advisorEmilio Baglietto.en_US
dc.contributor.authorAgostinelli, Giulia.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Nuclear Science and Engineering.en_US
dc.date.accessioned2021-01-11T17:19:44Z
dc.date.available2021-01-11T17:19:44Z
dc.date.copyright2020en_US
dc.date.issued2020en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/129364
dc.descriptionThesis: Ph. D., Massachusetts Institute of Technology, Department of Nuclear Science and Engineering, September, 2020en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 118-124).en_US
dc.description.abstractIn Boiling water Reactors (BWRs), the presence of a liquid film in contact with the heated rod surface is crucial to ensure an efficient heat removal and prevent the threatening occurrence of dryout. The accurate prediction of the complex multidimensional liquid film behavior in advanced BWR fuel assemblies is critical to guarantee improved reactors performance and safety. Multiphase- CFD (M-CFD) brings the ability to model the complex three-dimensional flow structures in annular flow regime [1], while physics-based constitutive equations are needed to accurately represent the phase interactions, particularly at the liquid film interface. The development of closure relations for droplet deposition and entrainment as well as wave-induced interfacial shear, is a major priority for the modeling of annular flow in M-CFD. In annular flow conditions, liquid is continuously exchanged at the interface between the bulk steam and the film on the walls.en_US
dc.description.abstractWhile liquid droplets deposit onto the film driven by turbulent diffusion, new ones are entrained from the waves appearing on the film surface. A modeling approach is proposed and assessed to represent the local subgrid-scale deposition in CFD, showing comparable results with existing integral correlations, and an average error of 30%. Available closures are also evaluated for their ability to represent entrainment in the CFD implementation. Finally, in order to drive the advancement of the representation of interfacial shear, as well as physics-based droplet entrainment, the work focuses on the analysis and modeling of disturbance waves. The recent high resolution film measurements collected by Robers [2] are analyzed and leveraged to propose a physical representation of disturbance waves, which can be implemented into a complete model.en_US
dc.description.abstractThe proposed model is successfully assessed against the experimental measurements of Sawant [3], while a large disagreement is found in comparison with the high pressure data evaluated at the RISO facility [4]. The new model predictions are consistent with existing integral correlations, demonstrating the need for further advancement of high pressure experiments with high resolution, necessary to drive more general representations. The complete set of closures is implemented in a commercial CFD software, and demonstrated adopting data from the Robers experiments. While the lingering limitations of the CFD implementation to transport thick films lead to overprediction of the local film thickness, the formulation shows promising performance towards more fundamental modeling of annular flow in M-CFD.en_US
dc.description.statementofresponsibilityby Giulia Agostinelli.en_US
dc.format.extent124 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectNuclear Science and Engineering.en_US
dc.titleAdvancement of closure relations for annular flow modeling in CFDen_US
dc.typeThesisen_US
dc.description.degreePh. D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Nuclear Science and Engineeringen_US
dc.identifier.oclc1227106656en_US
dc.description.collectionPh.D. Massachusetts Institute of Technology, Department of Nuclear Science and Engineeringen_US
dspace.imported2021-01-11T17:19:43Zen_US
mit.thesis.degreeDoctoralen_US
mit.thesis.departmentNucEngen_US


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