Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe
CPP: Fachverband Chemische Physik und Polymerphysik
CPP 28: Condensed Matter Simulations augmented by Advanced Statistical Methodologies I (joint session DY/CPP)
CPP 28.2: Vortrag
Dienstag, 13. März 2018, 11:15–11:30, BH-N 334
Loss of Memory in Dense Sheared Particulate Systems — •Lou Kondic1, Lenka Kovalcinova1, Miro Kramar2, and Konstantin Mischaikow3 — 1NJIT, Newark, NJ, USA — 2INRIA Saclay, Paris, France — 3Rutgers, Piscataway, NJ, USA
We carry out discrete element/MD simulations of dense sheared particulate systems, with the focus on understanding and characterizing dynamical properties of force networks that develop on the mesoscale. These force networks are known to play a crucial role in connecting microscale dynamics of the particles and macroscopic properties of the whole system. The results of the simulations are analysed using topological tools, that allow to fully quantify and even compare the states of the system. These tools identify in an objective and precise manner the time interval needed for the system to loose its memory, or in other words, the time interval after which any information about system state is lost. We will show that the process of memory loss may differ even if the inertial number, measuring the ratio of inertial to imposed forces, is kept constant.
This work is supported by the NSF Grant No. DMS-151717 by the DARPA contract No. HR0011- 16-2-0033.