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

Velocity correlations in dense gravity-driven granular chute flow.

Oleh Baran1, Deniz Ertaş, Thomas C Halsey

  • 1Corporate Strategic Research, ExxonMobil Research and Engineering, Annandale, New Jersey 08801, USA.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|February 7, 2007
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

Elongational flow response of compressible polymer melts.

The Journal of chemical physics·2026
Same author

Reverse segregation and self-organization in inclined chute flows of bidisperse granular mixtures.

Physical review. E·2026
Same author

Shape elasticity in colloidal bent-core liquid crystals.

Soft matter·2026
Same author

From Coils to Rods: Structure and Dynamics of Polyelectrolytes in Water.

ACS macro letters·2026
Same author

Shear response of polyelectrolytes in water.

Physical review. E·2026
Same author

Analytical interaction potentials for disks in two dimensions.

The Journal of chemical physics·2026

Velocity correlations in dense granular flow persist in the bulk, with correlation lengths typically near one particle diameter. These lengths depend non-trivially on averaging time and increase logarithmically with minimum flow height.

Area of Science:

  • Physics
  • Geophysics
  • Mechanical Engineering

Background:

  • Dense granular flows are ubiquitous in nature and industry.
  • Understanding the rheology of granular materials is crucial for predicting their behavior.

Purpose of the Study:

  • To investigate the spatial structure of velocity correlations in dense, gravity-driven granular flow down an inclined plane.
  • To determine how correlation lengths depend on various physical parameters.

Main Methods:

  • Numerical simulations of granular flow.
  • Analysis of two-point velocity correlation functions.
  • Exponential fitting to determine correlation lengths.

Main Results:

  • Velocity correlation structure persists from the surface into the bulk.

Related Experiment Videos

  • Correlation function exhibits exponential decay with separation distance.
  • Correlation lengths depend non-trivially on averaging time, incline angle, pile height, and system parameters.
  • Correlation lengths are typically of the order of a particle diameter.
  • Correlation lengths increase logarithmically with minimum flow height (hstop).

    • Conclusions:

    • The study provides numerical insights into velocity correlations in granular flows.
    • Results challenge theoretical expectations regarding the relationship between correlation length and minimum flow height.
    • Findings contribute to a better understanding of granular material rheology.