Flows of soft particles in varying gravity: Deviations from Beverloo

We present the results of LAMMPS (Large-scale Atomic/Molecular Massively Parallel Simulator) Molecular Dynamics simulations of quasi-2D gravity-driven flows of ∼30 000 soft uniform spheres through a vertical silo. We vary the gravitational field (G), elastic modulus of the particles (E), and silo outlet diameter (D) and measure the effects on mass flow rate and microscale metrics such as granular temperature through the different systems. We introduce a dimensionless parameter Γ, which corresponds to the ratio of E and G, corresponding to the “squishiness” of the system. We find that the flow rate is underpredicted by the Beverloo equation for small outlet sizes and vice versa for large outlets. We find that this divergence is best correlated with granular temperature. There is also a clear dependence on Γ: the transition from under to overprediction happens at lower granular temperatures for squishier systems.

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Publication Details

Journal
Journal of Rheology
Published
2026-04-21
DOI
https://doi.org/10.1122/8.0001075
Citations
1
Primary Topic
Granular flow and fluidized beds
Type
article
Field-Weighted Citation Impact
25.00
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article

Flows of soft particles in varying gravity: Deviations from Beverloo

Kerstin Nordstrom, Abigail Tadlock, Lori McCabe
1 citations
Journal of Rheology
Granular flow and fluidized beds
25.00
article

Flows of soft particles in varying gravity: Deviations from Beverloo

Kerstin Nordstrom, Abigail Tadlock, Lori McCabe
article en
1 citations

Abstract

We present the results of LAMMPS (Large-scale Atomic/Molecular Massively Parallel Simulator) Molecular Dynamics simulations of quasi-2D gravity-driven flows of ∼30 000 soft uniform spheres through a vertical silo. We vary the gravitational field (G), elastic modulus of the particles (E), and silo outlet diameter (D) and measure the effects on mass flow rate and microscale metrics such as granular temperature through the different systems. We introduce a dimensionless parameter Γ, which corresponds to the ratio of E and G, corresponding to the “squishiness” of the system. We find that the flow rate is underpredicted by the Beverloo equation for small outlet sizes and vice versa for large outlets. We find that this divergence is best correlated with granular temperature. There is also a clear dependence on Γ: the transition from under to overprediction happens at lower granular temperatures for squishier systems.

Journal of RheologyVol. 70(3)
Mount Holyoke College (US)
Openalex Percentile: Top 1%
Granular flow and fluidized beds
25.00
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