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- W2896490180 abstract "AbstractBuilding on the strong belief that the advancement and consistent adoption of cutting-edge simulation tools is critical to the future of nuclear power, three-dimensional thermal-hydraulic methods in the form of computational fluid dynamics (CFD) have made enormous advancement and promise to transform the way we approach the design of more efficient and reliable systems. The success of these methods hinges on the accuracy and predictive ability of the underlying models, which must, at the same time, limit the computational cost and allow optimal scalability. A large effort at the Massachusetts Institute of Technology has been devoted to the development of a second-generation of multiphase-CFD (M-CFD) closures and to leveraging the continuous progression in the experimental techniques. Among the numerous objectives, the central challenge that has driven the overall approach is the prediction of departure from nucleate boiling. This work focuses on deriving the fundamental meso-scale mechanisms from ..." @default.
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- W2896490180 date "2018-10-12" @default.
- W2896490180 modified "2023-09-26" @default.
- W2896490180 title "A Second Generation Multiphase-CFD Framework Toward Predictive Modeling of DNB" @default.
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- W2896490180 doi "https://doi.org/10.1080/00295450.2018.1517528" @default.
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