Structure of high and low shear-stress events in a turbulent boundary layer

G. Gomit, R. de Kat, and B. Ganapathisubramani
Phys. Rev. Fluids 3, 014609 – Published 19 January 2018

Abstract

Simultaneous particle image velocimetry (PIV) and wall-shear-stress sensor measurements were performed to study structures associated with shear-stress events in a flat plate turbulent boundary layer at a Reynolds number Reτ4000. The PIV field of view covers 8δ (where δ is the boundary layer thickness) along the streamwise direction and captures the entire boundary layer in the wall-normal direction. Simultaneously, wall-shear-stress measurements that capture the large-scale fluctuations were taken using a spanwise array of hot-film skin-friction sensors (spanning 2δ). Based on this combination of measurements, the organization of the conditional wall-normal and streamwise velocity fluctuations (u and v) and of the Reynolds shear stress (uv) can be extracted. Conditional averages of the velocity field are computed by dividing the histogram of the large-scale wall-shear-stress fluctuations into four quartiles, each containing 25% of the occurrences. The conditional events corresponding to the extreme quartiles of the histogram (positive and negative) predominantly contribute to a change of velocity profile associated with the large structures and in the modulation of the small scales. A detailed examination of the Reynolds shear-stress contribution related to each of the four quartiles shows that the flow above a low wall-shear-stress event carries a larger amount of Reynolds shear stress than the other quartiles. The contribution of the small and large scales to this observation is discussed based on a scale decomposition of the velocity field.

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  • Received 13 June 2017

DOI:https://doi.org/10.1103/PhysRevFluids.3.014609

©2018 American Physical Society

Physics Subject Headings (PhySH)

Fluid Dynamics

Authors & Affiliations

G. Gomit, R. de Kat, and B. Ganapathisubramani*

  • Engineering and the Environment, University of Southampton, Southampton, SO17 1BJ, United Kingdom

  • *g.bharath@soton.ac.uk

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Vol. 3, Iss. 1 — January 2018

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