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On the near-wall characteristics of acceleration in turbulence

Published online by Cambridge University Press:  23 July 2010

K. YEO ,
B.-G. KIM  and
C. LEE
K. YEO
Affiliation:
Department of Mechanical Engineering, Yonsei University, Seoul 120–749, Korea
B.-G. KIM
Affiliation:
Department of Computational Science and Engineering, Yonsei University, Seoul 120–749, Korea
C. LEE*
Affiliation:
Department of Mechanical Engineering, Yonsei University, Seoul 120–749, Korea Department of Computational Science and Engineering, Yonsei University, Seoul 120–749, Korea
*
‡Email address for correspondence: clee@yonsei.ac.kr
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Abstract

The behaviour of fluid-particle acceleration in near-wall turbulent flows is investigated in numerically simulated turbulent channel flows at low to moderate Reynolds numbers, Reτ = 180~600). The acceleration is decomposed into pressure-gradient (irrotational) and viscous contributions (solenoidal acceleration) and the statistics of each component are analysed. In near-wall turbulent flows, the probability density function of acceleration is strongly dependent on the distance from the wall. Unexpectedly, the intermittency of acceleration is strongest in the viscous sublayer, where the acceleration flatness factor of O(100) is observed. It is shown that the centripetal acceleration around coherent vortical structures is an important source of the acceleration intermittency. We found sheet-like structures of strong solenoidal accelerations near the wall, which are associated with the background shear modified by the interaction between a streamwise vortex and the wall. We found that the acceleration Kolmogorov constant is a linear function of y+ in the log layer. The Reynolds number dependence of the acceleration statistics is investigated.

JFM classification

Turbulent Flows: Intermittency Turbulent Flows: Turbulent boundary layers Turbulent Flows: Turbulence simulation
Type
Papers
Information
Journal of Fluid Mechanics , Volume 659 , 25 September 2010 , pp. 405 - 419
Copyright
Copyright © Cambridge University Press 2010

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Footnotes

†

Present address: Division of Applied Mathematics, Brown University, Providence, RI 02912, USA

References

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