Berlin 2018 – scientific programme
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CPP: Fachverband Chemische Physik und Polymerphysik
CPP 65: Granular Matter / Contact Dynamics (joint session DY/CPP)
CPP 65.1: Talk
Thursday, March 15, 2018, 10:00–10:15, BH-N 333
Predicting contact numbers in granular packings — •Matthias Schröter1, Simon Weis2, and Gerd Schröder-Turk3 — 1Institute for Multiscale Simulation, University Erlangen, Nägelsbachstrasse 49b, 91052 Erlangen, Germany — 2Institut für Theoretische Physik I, Universität Erlangen-Nürnberg, Staudtstraße 7, 91058 Erlangen, Germany — 3School of Engineering and Information Technology, Murdoch University, 90 South Street, Murdoch, WA 6150, Australia
The mechanical stability of granular packings depends on the number of contacts its individual particles
form with their neighbors. While these contact numbers can be measured using X-ray tomography [1],
there are very few theoretical results prediciting this crucial parameter. A major part of the reason why
theory lacks behind here is the frictional nature of the contacts [2]; up to now no effective method has been found to
handle the inequality given by Coulomb friction. On the other side there is an abundance of experimental data. This raises
the question if training an artificial neural network might be more effective to predict contact numbers than asking human experts.
[1] Schaller, Neudecker, Saadatfar, Delaney, Schröder-Turk, and Schröter, Physical Review Letters 114, 158001 (2015)
[2] Schröter, EPJ Web of Conferences 140, 01008 (2017)