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Simultaneous skin friction and velocity measurements in high Reynolds number pipe and boundary layer flows

Authors :
Spencer Zimmerman
Bharathram Ganapathisubramani
R. Baidya
Gabriele Bellani
Nicholas Hutchins
Xiaobo Zheng
Eda Dogan
Jason Monty
Ivan Marusic
Milad Samie
Alessandro Talamelli
Woutijn J. Baars
Lucia Mascotelli
Joseph Klewicki
R. J. Hearst
Baidya R.
Baars W.J.
Zimmerman S.
Samie M.
Hearst R.J.
Dogan E.
Mascotelli L.
Zheng X.
Bellani G.
Talamelli A.
Ganapathisubramani B.
Hutchins N.
Marusic I.
Klewicki J.
Monty J.P.
Publication Year :
2019

Abstract

Streamwise velocity and wall-shear stress are acquired simultaneously with a hot-wire and an array of azimuthal/spanwise-spaced skin friction sensors in large-scale pipe and boundary layer flow facilities at high Reynolds numbers. These allow for a correlation analysis on a per-scale basis between the velocity and reference skin friction signals to reveal which velocity-based turbulent motions are stochastically coherent with turbulent skin friction. In the logarithmic region, the wall-attached structures in both the pipe and boundary layers show evidence of self-similarity, and the range of scales over which the self-similarity is observed decreases with an increasing azimuthal/spanwise offset between the velocity and the reference skin friction signals. The present empirical observations support the existence of a self-similar range of wall-attached turbulence, which in turn are used to extend the model of Baarset al.(J. Fluid Mech., vol. 823, p. R2) to include the azimuthal/spanwise trends. Furthermore, the region where the self-similarity is observed correspond with the wall height where the mean momentum equation formally admits a self-similar invariant form, and simultaneously where the mean and variance profiles of the streamwise velocity exhibit logarithmic dependence. The experimental observations suggest that the self-similar wall-attached structures follow an aspect ratio of$7:1:1$in the streamwise, spanwise and wall-normal directions, respectively.

Details

Language :
English
ISSN :
00221120
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....c3f395da00065fd4d1a51749e1f0ace3