2011
DOI: 10.1016/j.ijheatmasstransfer.2010.08.018
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Large-eddy simulation of turbulent heat convection in a spanwise rotating channel flow

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Cited by 19 publications
(8 citation statements)
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References 41 publications
(108 reference statements)
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“…Owing to the existence of the Coriolis force, large T-G vortices are induced in the core region of the channel, which shift both the mean temperature and mean velocity profiles to the pressure side. Consequently, both the momentum viscous sublayer and the thermal diffusive sublayer become thinner on the pressure side and become thicker on the suction side [14]. Furthermore, in the recent work of Xun et al [39], it was found that the appearance of the T-G vortices causes quasi-periodicity in the spanwise distribution of the drag coefficient and Nusselt number.…”
Section: Motivationmentioning
confidence: 96%
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“…Owing to the existence of the Coriolis force, large T-G vortices are induced in the core region of the channel, which shift both the mean temperature and mean velocity profiles to the pressure side. Consequently, both the momentum viscous sublayer and the thermal diffusive sublayer become thinner on the pressure side and become thicker on the suction side [14]. Furthermore, in the recent work of Xun et al [39], it was found that the appearance of the T-G vortices causes quasi-periodicity in the spanwise distribution of the drag coefficient and Nusselt number.…”
Section: Motivationmentioning
confidence: 96%
“…The DNM is based on an explicit nonlinear quadratic tensorial polynomial constitutive relation of Speziale [12], which includes the conventional DM as its first-order approximation as well as two higher-order tensorial constituent components for nonlinear anisotropic representation of the SGS stress tensor. As a result, it can exhibit local stability without the need for plane-averaging, and reflect the physical mechanisms of both forward and backward scatter of SGS KE between the filtered and subgrid scale motions [11,13,14]. In comparison with the DM, the DNM overcomes several major drawbacks of the DM and admits more degrees of freedom for geometrical representation of the SGS stress tensor.…”
Section: Dynamic Modelling For Sgs Stressesmentioning
confidence: 99%
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