Issue |
EPJ Web Conf.
Volume 140, 2017
Powders and Grains 2017 – 8th International Conference on Micromechanics on Granular Media
|
|
---|---|---|
Article Number | 15014 | |
Number of page(s) | 4 | |
Section | Particle simulations and particle-based methods | |
DOI | https://doi.org/10.1051/epjconf/201714015014 | |
Published online | 30 June 2017 |
https://doi.org/10.1051/epjconf/201714015014
Evolution of force networks in dense granular matter close to jamming
1 Department of Mathematical Sciences, New Jersey Institute of Technology, University Heights, Newark, NJ 07102, USA
2 Advanced Institute for Materials Research, Tohoku University, Sendai, Japan
3 Department of Mathematics and BioMaPS Institute, Hill Center-Busch Campus, Rutgers University, 110 Frelinghusen Rd, Piscataway, NJ 08854 USA
* e-mail: kondic@njit.edu
** e-mail: miroslav.kramar.1@gmail.com
*** e-mail: lk58@njit.edu
**** e-mail: mischaik@math.rutgers.edu
Published online: 30 June 2017
When dense granular systems are exposed to external forcing, they evolve on the time scale that is typically related to the externally imposed one (shear or compression rate, for example). This evolution could be characterized by observing temporal evolution of contact networks. However, it is not immediately clear whether the force networks, defined on contact networks by considering force interactions between the particles, evolve on a similar time scale. To analyze the evolution of these networks, we carry out discrete element simulations of a system of soft frictional disks exposed to compression that leads to jamming. By using the tools of computational topology, we show that close to jamming transition, the force networks evolve on the time scale which is much faster than the externally imposed one. The presentation will discuss the factors that determine this fast time scale.
© The Authors, published by EDP Sciences, 2017
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.