Properties of Interaction Networks in Compressed Two and Three Dimensional Particulate Systems

TL;DR

This study investigates how the dimensionality and interaction type influence the properties of interaction networks in compressed granular systems using simulations and various analytical tools.

Contribution

It provides a comparative analysis of interaction networks in 2D and 3D granular systems, highlighting the effects of dimensionality and interaction models on network properties.

Findings

Interaction networks differ significantly between 2D and 3D systems.

Both the physical dimension and particle interaction type affect network properties.

Multiple analytical techniques offer complementary insights into network characteristics.

Abstract

We consider two (2D) and three (3D) dimensional granular systems exposed to compression, and ask what is the influence of the number of physical dimensions on the properties of the interaction networks that spontaneously form as these systems evolve. The study is carried out based on discrete element simulations of frictional disks in 2D and spheres in 3D. The main finding is that both the number of physical dimensions and the type of particle-particle interaction influence significantly the properties of interaction networks. These networks play an important role in bridging the microscale (particle size) and macroscale (system size), thus both aspects (the interaction model and dimensionality) are carefully considered. Our work uses a combination of tools and techniques, including percolation study, statistical analysis, as well as algebraic topology-based techniques. In many instances we find that different techniques and measures provide complementary information that, when combined, allow for gaining better insight into the properties of interaction networks.