Raghuram, S (2024) The Nature of Probability Density Functions in Turbulent Channel Flow. In: Fluid Mechanics and Fluid Power, FMFP 2022, pp. 49-57.
Full text not available from this repository.Abstract
The nature of probability density functions of streamwise velocity, wall-normal velocity and Reynolds shear stress fluctuations is analysed for a turbulent channel flow using hotwire anemometry and particle image velocimetry measurements. The hotwire measurements are validated with data from literature. The particle image velocimetry measurements capture the probability density functions well albeit at a smaller acquisition sampling rate when compared to hotwire. The probability density functions of the streamwise and the wall-normal velocity fluctuations exhibit Gaussian behaviour close to the wall at least till the end of the inertial sublayer, while the probability density functions of Reynolds stress fluctuations exhibit non-Gaussian, peaky behaviour throughout the channel, depicting the episodic nature of turbulence production. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Item Type: | Conference Proceedings |
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Publication: | Lecture Notes in Mechanical Engineering |
Series.: | Lecture Notes in Mechanical Engineering, Volume 2 |
Publisher: | Springer Science and Business Media Deutschland GmbH |
Additional Information: | The copyright for this article belongs to Springer Science and Business Media Deutschland GmbH. |
Keywords: | Channel flow; Flow visualization; Gaussian distribution; Reynolds number; Shear flow; Shear stress; Turbulent flow; Velocimeters; Velocity measurement; Wall flow, Hot wire anemometry; Hot wire measurements; Hot wires; Log region; Particle image velocimetry measurement; Reynold shear stress; Sampling rates; Shear-stress fluctuations; Streamwise velocity; Turbulent channel flows, Probability density function |
Department/Centre: | Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering) |
Date Deposited: | 27 Jul 2024 15:59 |
Last Modified: | 27 Jul 2024 15:59 |
URI: | http://eprints.iisc.ac.in/id/eprint/84445 |
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