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On the Size of the Eddies in the Outer Turbulent Wall Layer: Evidence from Velocity Spectra Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Large-Scale Organization of a Near-Wall Turbulent Boundary Layer

Authors : R. Dekou, J.-M. Foucaut, S. Roux, M. Stanislas

Published in: Progress in Wall Turbulence 2

Publisher: Springer International Publishing

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Abstract

Large-scale streaky structures play an important role in the turbulence production process of a boundary layer. Adrian has proposed a model at very large scales which could explain the organization of the boundary layer, but at high Reynolds number, their main characteristics (size, intensity and life time) and the way they interact with the near-wall structures is still not fully understood. To tackle these points, an experimental database at a Reynolds number based on momentum thickness \(Re_{\theta }\) close to 9800 was recorded in the Laboratoire de Mécanique de Lille wind tunnel with stereo-PIV (SPIV) and hot-wire anemometry (HWA). With a Linear Stochastic Estimation (LSE) procedure based on correlations computation, a three-component velocity field was reconstructed at high frequency from stereo-PIV at 4 Hz and hot-wire data at 30 kHz. To extract large streaky structures, a threshold is applied to normalized streamwise velocity fluctuations from the reconstructed PIV field, and then 3D morphological operations (erosion and dilatation) are combined with a volume-size-based cleaning procedure to remove the noise and smooth the object boundaries. Some statistical characteristics of the large streaks are obtained.

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previous chapter Statistical and Temporal Characterization of Turbulent Rayleigh-Bénard Convection Boundary Layers Using Time-Resolved PIV Measurements
next chapter Near-Wall Study of a Turbulent Boundary Layer Using High-Speed Tomo-PIV
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Metadata
Title
Large-Scale Organization of a Near-Wall Turbulent Boundary Layer
Authors
R. Dekou
J.-M. Foucaut
S. Roux
M. Stanislas
Copyright Year
2016
Book
Progress in Wall Turbulence 2

Print ISBN: 978-3-319-20387-4

Electronic ISBN: 978-3-319-20388-1

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-20388-1_29

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