Velocity probability distribution scaling in wall-bounded flows at high Reynolds numbers

M.-W. Ge, Xiang I. A. Yang, and Ivan Marusic
Phys. Rev. Fluids 4, 034101 – Published 7 March 2019

Abstract

Probability density functions (PDFs) give well-rounded statistical descriptions of stochastic quantities and therefore are fundamental to turbulence. Wall-bounded turbulent flows are of particular interest given their prevalence in a vast array of applications, but for these flows the scaling of velocity probability distribution is still far from being well founded. By exploiting the self-similarity in wall-bounded turbulent flows and modeling velocity fluctuations as results of self-repeating processes, we present a theoretical argument, supported by empirical evidence, for a universal velocity PDF scaling in high-Reynolds-number wall turbulence.

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  • Received 29 August 2018

DOI:https://doi.org/10.1103/PhysRevFluids.4.034101

©2019 American Physical Society

Physics Subject Headings (PhySH)

Fluid Dynamics

Authors & Affiliations

M.-W. Ge1, Xiang I. A. Yang2,*, and Ivan Marusic3

  • 1School of Renewable Energy, North China Electric Power University, Beijing, China
  • 2Mechanical and Nuclear Engineering, Penn State University, State College, Pennsylvania 16802, USA
  • 3Department of Mechanical Engineering, University of Melbourne, Parkville, Victoria 3010, Australia

  • *Corresponding author: xiangyang@psu.edu

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Vol. 4, Iss. 3 — March 2019

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