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

M. W. Ge, Xiang I.A. Yang, Ivan Marusic

Research output: Contribution to journalArticle

1 Scopus citations

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.

Original languageEnglish (US)
Article number034101
JournalPhysical Review Fluids
Volume4
Issue number3
DOIs
StatePublished - Mar 2019

All Science Journal Classification (ASJC) codes

  • Computational Mechanics
  • Modeling and Simulation
  • Fluid Flow and Transfer Processes

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