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Column collapse of granular rods.

M Trepanier1, Scott V Franklin

  • 1Department of Physics, Rochester Institute of Technology, Rochester, New York 14623, USA.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|September 28, 2010
PubMed
Summary

Granular rod piles exhibit critical collapse heights. Below a certain height, piles remain stable; above it, they always collapse, with intermediate heights showing predictable collapse probability.

Area of Science:

  • Physics
  • Materials Science
  • Granular Mechanics

Background:

  • Understanding granular material behavior is crucial in various scientific and engineering fields.
  • The collapse dynamics of granular piles are influenced by particle shape and pile geometry.
  • Rod-shaped particles present unique challenges in predicting pile stability.

Purpose of the Study:

  • To investigate the collapse behavior of granular rod piles.
  • To determine the influence of particle aspect ratio and pile dimensions on collapse.
  • To characterize the runoff scaling after pile collapse.

Main Methods:

  • Experimental investigation of granular rod piles with varying particle and pile aspect ratios.
  • Systematic measurement of critical collapse heights (Hl and Hu).

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  • Analysis of collapse probability as a function of pile height.
  • Quantification of runoff volume and its scaling with pile height.
  • Main Results:

    • A critical height (Hl) below which piles are stable and a height (Hu) above which they always collapse were identified.
    • Collapse probability increases linearly with pile height for intermediate heights, independent of particle shape.
    • Runoff scales as a piecewise power law with pile height, with different exponents for shorter and taller piles.

    Conclusions:

    • Granular rod pile collapse is governed by critical height thresholds.
    • The linear probability of collapse suggests a universal mechanism for intermediate heights.
    • The piecewise power-law scaling of runoff provides insights into granular flow dynamics.