Statistical properties of wall shear stress fluctuations in turbulent channel flows |
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Affiliation: | 1. Key Laboratory of Fluid Mechanics (Beijing University of Aeronautics and Astronautics), Ministry of Education, Beijing 100191, China;2. Key Laboratory of Mechanics on Disaster and Environment in Western China (Lanzhou University), Ministry of Education, Lanzhou 730000, China;1. Laboratory for Turbulence Research in Aerospace and Combustion, Department of Mechanical and Aerospace Engineering, Monash University, Melbourne 3800, Australia;2. CSIRO Oceans and Atmosphere, Castray Esplanade, Battery Point, Tasmania 7004, Australia;3. Department of Materials Engineering Science, Osaka University, Osaka 560–8531, Japan;4. Department of Aeronautical Engineering, King Abdulaziz University, Jeddah 21589, Kingdom of Saudi Arabia |
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Abstract: | Instantaneous velocity and wall shear stress measurements are conducted in a turbulent channel flow in the Kármán number range of Reτ = 74–400. A one-dimensional LDA system is used to measure the streamwise velocity fluctuations, and an electrochemical technique is utilized to measure the instantaneous wall shear stress. For the latter, frequency response and nonuniform correction methods are used to provide an accurate, well-resolved wall statistics database. The Reynolds number dependency of the statistical wall quantities is carefully investigated. The corrected relative wall shear stress fluctuations fit well with the best DNS data available and meet the need for clarification of the small discrepancy observed in the literature between the experimental and numerical results of such quantities. Higher-order statistics of the wall shear stress, spectra, and the turbulence kinetic energy budget at the wall are also investigated. The present paper shows that the electrochemical technique is a powerful experimental method for hydrodynamic studies involving highly unsteady flows. The study brings with it important consequences, especially in the context of the current debate regarding the appropriate scaling as well as the validation of new predictive models of near-wall turbulence. |
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