Issue |
EPJ Web Conf.
Volume 249, 2021
Powders & Grains 2021 – 9th International Conference on Micromechanics on Granular Media
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|
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Article Number | 03049 | |
Number of page(s) | 4 | |
Section | Granular Flow | |
DOI | https://doi.org/10.1051/epjconf/202124903049 | |
Published online | 07 June 2021 |
https://doi.org/10.1051/epjconf/202124903049
DEM modeling of segregation and stratification in pouring heaps of bidispersed mixtures of rounded particles
1
Department of Civil, Geological and Mining Engineering, Polytechnique Montréal, Québec, Canada
2
Research Institute of Mining and Environment, RIME UQAT-Polytechnique, Montréal, Québec, Canada
* e-mail: tristan.vuilloz@polymtl.ca
** e-mail: david.cantor@polymtl.ca
*** e-mail: carlos.ovalle@polytml.ca
Published online: 7 June 2021
This study aims to assess and analyse the patterns of segregation and stratification in pouring heaps of granular mixtures composed by binary sized and uniformly shaped particles. We present 2D and 3D simulations which respectively build deposits of poured disks and spheres by means of a discrete-element approach known as contact dynamics (CD). In order to identify preferable conditions for segregation and stratification, we try several deposition scenarios varying the pouring flow rate, injection height, heap’s width and mass ratio between large and small grains in our binary samples. Although some authors assert that shape dispersity might not be necessary to obtain stratification, the phenomenon seems hard to seize with mono-shaped granular media as it appears to require a close control on pouring conditions. The introduction of our DEM models and statistical analysis intend to provide examples of what could constitute efficient numerical tools to study the remaining open problems related to heap segregation patterns prediction.
A video is available at https://doi.org/10.48448/vkaj-x869
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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