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Related Experiment Videos

Multiscale correlations and conditional averages in numerical turbulence

Grossmann1, Lohse, Reeh

  • 1Fachbereich Physik der Philipps-Universitat, Marburg, Germany. grossmann_s@physik.uni-marburg.de

Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics
|October 14, 2000
PubMed
Summary

This study investigates turbulent flow correlation functions across different scales. Results confirm the inertial range fusion rule and provide insights into conditional averages of velocity fluctuations.

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Area of Science:

  • Fluid Dynamics
  • Turbulence Theory
  • Statistical Mechanics

Background:

  • Correlation functions involving multiple scales are crucial for understanding turbulence.
  • Previous studies focused on either large scales or experimental/synthetic data.

Purpose of the Study:

  • To analyze the scaling of correlation functions across inertial and viscous subranges.
  • To investigate conditional averages of velocity fluctuations in turbulent flows.

Main Methods:

  • Numerical simulations using Navier-Stokes equations on a 60(3) grid.
  • Analysis of correlation functions and conditional averages.

Main Results:

  • Confirmation of the inertial range fusion rule.

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  • Gained insights into conditional averages, specifically local dissipation rate conditioned on velocity fluctuations.

    • Conclusions:

    • The study complements existing high Reynolds number data.
    • Provides a deeper understanding of turbulent flow behavior across different scales.