Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

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 summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

In reply.

Deutsches Arzteblatt international·2013
Same author

Periodically kicked turbulence

Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics·2000
Same author

Squeezing alcohols into sonoluminescing bubbles: the universal role of surfactants

Physical review letters·2000
Same author

Measurement of the 1s-2s energy interval in muonium

Physical review letters·2000
Same author

Semiclassical real-time tunneling by multiple spawning of classical trajectories

Physical review letters·2000
Same author

Sound scattering and localized heat deposition of pulse-driven microbubbles

The Journal of the Acoustical Society of America·2000
Same journal

Efficient Monte Carlo simulations using a shuffled nested Weyl sequence random number generator.

Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics·2002
Same journal

Spatiotemporal dynamics of electromagnetic pulses in saturating nonlinear optical media with normal group velocity dispersion.

Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics·2002
Same journal

Soliton-breather reaction pathways.

Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics·2002
Same journal

Calculation of electromagnetic properties of regular and random arrays of metallic and dielectric cylinders.

Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics·2002
Same journal

Electromagnetic convective cells in a nonuniform dusty plasma.

Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics·2002
Same journal

Stability of neural networks and solitons of field theory.

Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics·2002
See all related articles

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.

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.

Related Experiment Videos

  • 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.