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Area of Science:

  • Physics
  • Materials Science
  • Computational Science

Background:

  • Understanding granular materials and particle packing is crucial in various scientific and industrial fields.
  • Investigating the influence of particle shape and inter-particle forces on packing behavior is an ongoing research area.

Purpose of the Study:

  • To investigate the random packing dynamics of bent-shaped particles (triplets).
  • To understand how particle geometry and cohesive forces impact packing density and force distributions.
  • To explore the influence of symmetry in mesoscopic particles on packing observables.

Main Methods:

  • Discrete Element Method (DEM) simulations combined with the multi-sphere method.
  • Numerical integration of rotational motion using an implicit leapfrog algorithm with quaternion acceleration.
  • Modeling long-range cohesive forces with a Lennard-Jones (LJ)-type potential.

Main Results:

  • Analysis of packing density and orientation pair correlation function for bent triplets.
  • Investigation of force probability distributions within random packing structures.
  • Demonstration of how varying interaction strengths affect packing observables.

Conclusions:

  • Bent-shaped structures significantly influence random packing dynamics.
  • Cohesive forces play a critical role in the packing behavior of these triplets.
  • The study provides a molecular-level understanding of how particle shape and interactions govern macroscopic packing properties.