2012
DOI: 10.1007/978-3-642-31818-4_8
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Development of a Hybrid RANS/LES Model for Heat Transfer Applications

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Cited by 3 publications
(6 citation statements)
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“…However, the buffer layer is flatter and the slope of the predicted log-layer is higher than of the reference. This is in contrast to well-agreeing profiles at P r = 1 reported by Rolfo, Uribe and Billard [24]. Extensive testing on the blending function f b for the passive scalar transport has shown that the present model is more sensitive to the choice of P r RANS t and the related mean contribution to h j than the one-simulation model.…”
Section: Wall-refined Gridcontrasting
confidence: 87%
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“…However, the buffer layer is flatter and the slope of the predicted log-layer is higher than of the reference. This is in contrast to well-agreeing profiles at P r = 1 reported by Rolfo, Uribe and Billard [24]. Extensive testing on the blending function f b for the passive scalar transport has shown that the present model is more sensitive to the choice of P r RANS t and the related mean contribution to h j than the one-simulation model.…”
Section: Wall-refined Gridcontrasting
confidence: 87%
“…Rolfo, Uribe and Billard [24] transferred the blending method to a hybrid SGS turbulent heat flux with a two-part expression for a Simple Gradient Diffusion Hypothesis (SGDH) model as…”
Section: Heat Transfermentioning
confidence: 99%
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