1979
DOI: 10.1016/0017-9310(79)90134-0
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About the prediction of turbulent prandtl and schmidt numbers from modeled transport equations

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Cited by 127 publications
(36 citation statements)
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“…where Pet = Pr g+~, CPe, )] }' (2s) (29) Prtoo is the value of Prt far away from the wall and C = 0.3 is a constant prescribing the spatial distribution of Prt versus Pet.…”
Section: The Turbulence Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…where Pet = Pr g+~, CPe, )] }' (2s) (29) Prtoo is the value of Prt far away from the wall and C = 0.3 is a constant prescribing the spatial distribution of Prt versus Pet.…”
Section: The Turbulence Modelmentioning
confidence: 99%
“…This model was extended by Chen and Chiou [28] for liquid metal flow in pipes in incorporating the enthalpy thickness @ in turbulent Prandtl number Prt. Jischa and Rieke [29] developed a model for Prt from the modeled transport equations given by the expression 182.4 Prt = 0.9 -~ PrRx0.ss s .…”
Section: The Turbulence Modelmentioning
confidence: 99%
“…The formula of Yakhot et al 14) and the modified Jischa-Rieke models 10) in the VANTACY-II code have this additional term. Therefore, in this study, the model includes an additional term to reflect the molecular Prandtl number effect whereby the turbulent Prandtl number decreases with the molecular Prandtl number, especially in the low molecular Prandtl number fluids.…”
Section: ) Even Though the Results Of The Dns Domentioning
confidence: 99%
“…This code considered the anisotropy of the turbulent diffusion and neglected the effects of the secondary flow. On the other hand, the VANTACY-II code used the modified Jischa-Rieke 10) model which was a function of Pr and the Reynolds number (Re) as the turbulent Prandtl number. This model is as below,…”
Section: The Turbulent Prandtl Number In the Rod Bundle Geometrymentioning
confidence: 99%
“…where Re is the Reynolds number and y is the distance to the wall [22,23]. The turbulent Prandtl number increases with decreasing Prandtl and Reynolds numbers.…”
Section: Turbulence Modelmentioning
confidence: 97%