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

M. W. Ge, Xiang Yang, Ivan Marusic

    Research output: Contribution to journalArticle

    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 1 2019

    Fingerprint

    Wall flow
    Velocity Distribution
    Turbulent Flow
    Probability density function
    Probability distributions
    Reynolds number
    Turbulence
    Probability Distribution
    Scaling
    Turbulent flow
    Self-similarity
    Fluctuations
    Modeling
    Evidence

    All Science Journal Classification (ASJC) codes

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

    Cite this

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    Velocity probability distribution scaling in wall-bounded flows at high Reynolds numbers. / Ge, M. W.; Yang, Xiang; Marusic, Ivan.

    In: Physical Review Fluids, Vol. 4, No. 3, 034101, 01.03.2019.

    Research output: Contribution to journalArticle

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