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A multifractal model for the momentum transfer process in wall-bounded flows.

X I A Yang1, A Lozano-Durán1

  • 1Center for Turbulence Research, Stanford, 94305, USA.

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PubMed
Summary

This study reveals that the momentum cascade in wall-bounded turbulence is an additive process, unlike the multiplicative cascade of kinetic energy. A multifractal model successfully describes wall-shear stress fluctuations, validated by direct numerical simulations.

Keywords:
turbulence theoryturbulent boundary layersturbulent flows

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Area of Science:

  • Fluid Dynamics
  • Turbulence Research
  • Multifractal Analysis

Background:

  • Turbulent kinetic energy cascades are modeled as multiplicative processes using multifractal formalism.
  • The behavior of momentum cascades in wall-bounded turbulent flows remains less understood.
  • Existing models often focus on energy transfer, not momentum dynamics in confined flows.

Purpose of the Study:

  • To investigate the applicability of multifractal formalism to momentum cascading in wall-bounded turbulence.
  • To propose and validate a multifractal model for streamwise wall-shear stress fluctuations.
  • To characterize the momentum cascade as either multiplicative or additive.

Main Methods:

  • Applied multifractal formalism to analyze the momentum cascade process.
  • Developed a model for low-pass filtered streamwise wall-shear stress fluctuations (τ l ').
  • Utilized direct numerical simulation (DNS) data of channel flow at Reτ = 4200 for validation.

Main Results:

  • The momentum cascade in wall-bounded flows is demonstrated to be an additive process.
  • The proposed multifractal model accurately describes flow kinematics.
  • Key scaling laws were identified: 〈 τ ' 2 〉 ~ log ( R e τ ) and 〈 exp ( p τ l ' ) 〉 ~ ( L / l ) ζ p in the log-region.

Conclusions:

  • Multifractal formalism is a viable tool for modeling momentum cascades in wall-bounded turbulence.
  • The additive nature of the momentum cascade distinguishes it from kinetic energy cascades.
  • The findings provide new insights into the scaling and statistical properties of wall-bounded turbulence.