Parametrizing the probability density function of wall-shear stress in turbulent channel flows

Parametrization of the probability density function (PDF) of streamwise wall-shear stress (WSS) in turbulent channel flows at the friction Reynolds number from 180 to 5200 is investigated. Lognormal parametrization is found to be more accurate than Gaussian for both the original and rescaled PDF of WSS. The original PDF of the inner WSS fluctuations can be well parametrized by a lognormal distribution. The rescaled PDF of the outer WSS fluctuations can be precisely parametrized by a Gaussian distribution.

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Publication Details

Journal
Physical Review Fluids
Published
2024-12-23
DOI
https://doi.org/10.1103/physrevfluids.9.124604
Citations
5
Primary Topic
Fluid Dynamics and Turbulent Flows
Type
article
Field-Weighted Citation Impact
1.87

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article

Parametrizing the probability density function of wall-shear stress in turbulent channel flows

Jingxuan Zhang, A. Lakshmi Srinivas, Ruifeng Hu
5 citations
Physical Review Fluids
Fluid Dynamics and Turbulent Flows
1.87
article

Parametrizing the probability density function of wall-shear stress in turbulent channel flows

Jingxuan Zhang, A. Lakshmi Srinivas, Ruifeng Hu
article en
5 citations

Abstract

Parametrization of the probability density function (PDF) of streamwise wall-shear stress (WSS) in turbulent channel flows at the friction Reynolds number from 180 to 5200 is investigated. Lognormal parametrization is found to be more accurate than Gaussian for both the original and rescaled PDF of WSS. The original PDF of the inner WSS fluctuations can be well parametrized by a lognormal distribution. The rescaled PDF of the outer WSS fluctuations can be precisely parametrized by a Gaussian distribution.

Physical Review FluidsVol. 9(12)
Lanzhou University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 15%
Fluid Dynamics and Turbulent Flows
1.87
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