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Compressible turbulent channel flows: DNS results and modelling

Huang, P. G., Coleman, G. N., Bradshaw, P.·1995·Journal of Fluid Mechanics

Abstract

The present paper addresses some topical issues in modelling compressible turbulent shear flows. The work is based on direct numerical simulation (DNS) of two supersonic fully developed channel flows between very cold isothermal walls. Detailed decomposition and analysis of terms appearing in the mean momentum and energy equations are presented. The simulation results are used to provide insights into differences between conventional Reynolds and Favre averaging of the mean-flow and turbulent quantities. Study of the turbulence energy budget for the two cases shows that compressibility effects due to turbulent density and pressure fluctuations are insignificant. In particular, the dilatational dissipation and the mean product of the pressure and dilatation fluctuations are very small, contrary to the results of simulations for sheared homogeneous compressible turbulence and to recent proposals for models for general compressible turbulent flows. This provides a possible explanation of why the Van Driest density-weighted transformation (which ignores any true turbulent compressibility effects) is so successful in correlating compressible boundary-layer data. Finally, it is found that the DNS data do not support the strong Reynolds analogy. A more general representation of the analogy is analysed and shown to match the DNS data very well.

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Metadata

Authors
Huang, P. G., Coleman, G. N., & Bradshaw, P.
Venue
Journal of Fluid Mechanics
Published
1995-12-25
Volume
305
Pages
185-218
ISSN
  • 0022-1120 (ISSN-L)
  • 1469-7645
OpenAlex
W2022249960
Cited by
617
References
1
FWCI
10.05
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Compressible turbulent channel flows: DNS results and modelling. https://app.cochat.ai/papers/10.1017/s0022112095004599
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Huang, P. G., Coleman, G. N., & Bradshaw, P. (1995). Compressible turbulent channel flows: DNS results and modelling. Journal of Fluid Mechanics. https://doi.org/10.1017/s0022112095004599

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