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Heaps of sand in flows within a split-bottom Couette cell
Miguel Cabrera1, Oscar Polanía1
1Department of Civil and Environmental Engineering, Universidad de los Andes, Bogotá, Colombia.
Physical Review. E
|January 20, 2021
Summary
This study explores angular grain flow in split-bottom cells, revealing rich behaviors in inertial flows. Findings extend understanding of shear banding and heap morphology, crucial for modeling natural mass flows.
Area of Science:
- Physics of granular materials
- Fluid dynamics of non-spherical particles
Background:
- Angular grains, unlike spherical ones, exhibit complex collective flow fields forming heaps on free surfaces.
- Previous studies in split-bottom cells noted specific flow behaviors, but a wider range, especially within the inertial regime, remained unexplored.
Purpose of the Study:
- To investigate the flow dynamics of angular grains in a split-bottom Couette cell across a broader range of inertial flows.
- To characterize the resulting heap morphology and flow regimes.
- To extend the understanding of universal shear banding and free-surface deformations.
Main Methods:
- Utilizing a split-bottom Couette cell to study angular grain flow.
- Employing digital image analysis to accurately measure surface height and velocity profiles.
- Exploring flows within the inertial regime and varying confinement levels.
Main Results:
- Observed known flow regimes (universal, wall-collapsed) persisting in moderately high inertial flows.
- Demonstrated that heap morphology is amplified by flow inertia and partially collapses upon halting.
- Identified distinct flow behaviors at high angular velocities: radial spreading under low confinement and localized particle ejections under high confinement.
Conclusions:
- The study extends the range for observing universal shear banding in granular flows.
- Results highlight the significant impact of flow inertia on heap morphology and free-surface deformation.
- Findings suggest the necessity of incorporating deformable free-surface boundary conditions in simulations of angular grain shear flows for accurate prediction of natural mass flows.
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