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

Anomalous diffusion in silo drainage.

R Arévalo1, A Garcimartín, D Maza

  • 1Department of Physics and Applied Mathematics, University of Navarra, E-31080 Pamplona, Spain. raturnes@alumni.unav.es

The European Physical Journal. E, Soft Matter
|July 11, 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

Janssen effect in submerged granular columns.

Soft matter·2025
Same author

Quantitative analysis of Tr1 lymphocytes in patients with type 2 diabetes mellitus.

Journal of endocrinological investigation·2024
Same author

Characterization of the Clogging Transition in Vibrated Granular Media.

Physical review letters·2021
Same author

Estimating density limits for walking pedestrians keeping a safe interpersonal distancing.

Scientific reports·2021
Same author

Nonergodicity in silo unclogging: Broken and unbroken arches.

Physical review. E·2019
Same author

Decoupling Geometrical and Kinematic Contributions to the Silo Clogging Process.

Physical review letters·2018
Same journal

What is active wetting?

The European physical journal. E, Soft matter·2026
Same journal

Metallic microresonator spectral modes with inhomogeneously twisted nematic in magnetic field.

The European physical journal. E, Soft matter·2026
Same journal

Perspective on the paper: GDR MiDi. On dense granular flows.

The European physical journal. E, Soft matter·2026
Same journal

Dynamics of a three-dimensional oil drop driven by a surface acoustic wave over topography.

The European physical journal. E, Soft matter·2026
Same journal

Resolvability parameters in molecular graphs of antimalarial drugs.

The European physical journal. E, Soft matter·2026
Same journal

Inertial forces and elastohydrodynamic interaction of spherical particles in wall-bounded sedimentation experiments at low <math><msub><mi>Re</mi> <mtext>P</mtext></msub></math>.

The European physical journal. E, Soft matter·2026
See all related articles

Molecular dynamics simulations reveal non-Gaussian statistics and superdiffusive behavior during silo discharge. A nonlinear diffusion equation successfully models grain movement, linking anomalous diffusion to non-extensive thermodynamics.

Area of Science:

  • Physics
  • Thermodynamics
  • Granular Materials

Background:

  • Silo discharge is a fundamental process in granular material handling.
  • Understanding granular flow dynamics, especially non-Gaussian statistics, is crucial for efficient design and operation.
  • Previous models often simplify the complex behavior observed in real-world discharge.

Purpose of the Study:

  • To investigate the dynamics of granular materials during silo discharge using molecular dynamics simulations.
  • To analyze the velocity profiles and displacement probability density functions (PDFs).
  • To model the observed anomalous diffusion using a nonlinear diffusion equation within non-extensive thermodynamics.

Main Methods:

  • Molecular dynamics (MD) simulations were employed to model the silo discharge process.

Related Experiment Videos

  • Analysis of velocity profiles and probability density functions (PDFs) for grain displacements.
  • Application of a nonlinear diffusion equation derived from non-extensive thermodynamics to describe grain movement.

    • Main Results:

    • Early discharge stages exhibit non-Gaussian statistics and superdiffusive behavior.
    • Stationary flow also shows non-Gaussian PDFs at shorter timescales.
    • A clear transition between ballistic and diffusive regimes was observed for large orifices, but not for small ones.
    • A relationship (gamma = 2/(3 - q)) was established between the anomalous diffusion exponent (gamma) and the entropic parameter (q).

    Conclusions:

    • Silo discharge dynamics are characterized by non-Gaussian and superdiffusive behaviors, particularly at the onset of flow.
    • The nonlinear diffusion equation from non-extensive thermodynamics effectively describes granular movement and anomalous diffusion.
    • The study provides a theoretical framework to link microscopic grain dynamics to macroscopic thermodynamic parameters.