Fine tuning DEM simulations to perform virtual experiments with three-dimensional granular packings

Gary W. Delaney; Shio Inagaki; Tomaso Aste

doi:10.1142/9789812771995_0009

Fine tuning DEM simulations to perform virtual experiments with three-dimensional granular packings

Gary W. Delaney, Shio Inagaki, Tomaso Aste

Research output: Chapter in Book/Report/Conference proceeding › Chapter

9 Citations (Scopus)

Abstract

We describe the development of a Discrete Element Method (DEM) numerical simulation for granular systems. Starting from the 3-dimensional images of grain packs obtained by X-ray computed tomography we perform “virtual experiments” by reconstructing via DEM numerical samples of ideal spherical beads with desired (and tunable) properties. The resulting virtual packing has a structure that is almost identical to the experimental one. However, from these numerical samples we can calculate several static and dynamical properties (force network, avalanches precursors, stress paths, stability, fragility, ) which are otherwise not experimentally accessible. The simulations realistically take into account non-linear Hertzian repulsion, non-elastic collisions, viscous damping, gravity and friction.

Original language	English
Title of host publication	Granular And Complex Materials
Publisher	World Scientific Publishing Co.
Pages	169-185
Number of pages	17
ISBN (Electronic)	9789812771995
DOIs	https://doi.org/10.1142/9789812771995_0009
Publication status	Published - Jan 1 2007
Externally published	Yes

All Science Journal Classification (ASJC) codes

Engineering(all)
Materials Science(all)

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10.1142/9789812771995_0009

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abstract = "We describe the development of a Discrete Element Method (DEM) numerical simulation for granular systems. Starting from the 3-dimensional images of grain packs obtained by X-ray computed tomography we perform “virtual experiments” by reconstructing via DEM numerical samples of ideal spherical beads with desired (and tunable) properties. The resulting virtual packing has a structure that is almost identical to the experimental one. However, from these numerical samples we can calculate several static and dynamical properties (force network, avalanches precursors, stress paths, stability, fragility, ) which are otherwise not experimentally accessible. The simulations realistically take into account non-linear Hertzian repulsion, non-elastic collisions, viscous damping, gravity and friction.",

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AB - We describe the development of a Discrete Element Method (DEM) numerical simulation for granular systems. Starting from the 3-dimensional images of grain packs obtained by X-ray computed tomography we perform “virtual experiments” by reconstructing via DEM numerical samples of ideal spherical beads with desired (and tunable) properties. The resulting virtual packing has a structure that is almost identical to the experimental one. However, from these numerical samples we can calculate several static and dynamical properties (force network, avalanches precursors, stress paths, stability, fragility, ) which are otherwise not experimentally accessible. The simulations realistically take into account non-linear Hertzian repulsion, non-elastic collisions, viscous damping, gravity and friction.

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ER -

Fine tuning DEM simulations to perform virtual experiments with three-dimensional granular packings

Abstract

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