Combining tomographic imaging and DEM simulations to investigate the structure of experimental sphere packings
arXiv:1001.4022 · doi:10.1039/b927490a
Abstract
We combine advanced image reconstruction techniques from computed X-ray micro tomography (XCT) with state-of-the-art discrete element method simulations (DEM) to study granular materials. This "virtual-laboratory" platform allows us to access quantities, such as frictional forces, which would be otherwise experimentally immeasurable.
arXiv comment20 pages, 17 figures
References in corpus (17)
- Jamming at Zero Temperature and Zero Applied Stress: the Epitome of Disorder
- Jamming, Force Chains and Fragile Matter
- A model for collisions in granular gases
- The Jamming Transition in Granular Systems
- Geometry of Frictionless and Frictional Sphere Packings
- The Geometrical Structure of Disordered Sphere Packings
- Pair Correlation Function Characteristics of Nearly Jammed Disordered and Ordered Hard-Sphere Packings
- Granular Packings: Nonlinear elasticity, sound propagation and collective relaxation dynamics
- Why is Random Close Packing Reproducible?
- Stationary state volume fluctuations in a granular medium
- Onset of mechanical stability in random packings of frictional spheres
- Investigating the Geometrical Structure of Disordered Sphere Packings
- Structural signatures of the unjamming transition at zero temperature
- An invariant distribution in static granular media
- Local and Global relations between the number of contacts and density in monodisperse sphere packs
- Dynamics of Random Packings in Granular Flow
- Effects of Friction and Disorder on the Quasi-Static Response of Granular Solids to a Localized Force
Cited by in corpus (5)
- Fundamental challenges in packing problems: from spherical to non-spherical particles
- Analyzing X-Ray tomographies of granular packings
- Characterization of maximally random jammed sphere packings: Voronoi correlation functions
- X-ray tomography system to investigate granular materials during mechanical loading
- Self-Referential Order