We investigate the evolution of the force network in experimental systems of two-dimensional granular materials under impact. We use the first Betti number, $\beta_1$ , and persistence diagrams, as measures of the topological properties of the force network. We show that the structure of the network has a complex, hysteretic dependence on both the intruder acceleration and the total force response of the granular material. $\beta_1$ can also distinguish between the nonlinear formation and relaxation of the force network. In addition, using the persistence diagram of the force network, we show that the size of the loops in the force network has a Poisson-like distribution, the characteristic size of which changes over the course of the impa...
We present mathematical models based on persistent homology for analyzing force distributions in par...
Abstract. The plastic flow of granular materials reflects to a large extent the constraints imposed ...
The force network ensemble of Snoeijer et al. (Force network ensemble: a new approach to static gran...
Using numerical simulations, we investigate the evolution of the structure of force networks in slow...
Impact of an intruder on granular matter leads to formation of mesoscopic force networks seen parti...
When dense granular systems are exposed to external forcing, they evolve on the time scale that is t...
We carry out a direct comparison of experimental and numerical realizations of the exact same granul...
Abstract. We study topological and dynamical properties in sheared granular media particularly when ...
The force networks of different granular ensembles are defined and their topological properties stu...
International audienceWe carry out a direct comparison of experimental and numerical realizations of...
International audienceWe used a Contact Dynamics algorithm to investigate some of the statistical pr...
The interactions between particles in dense particulate systems are organized in force networks, mes...
International audienceUsing Contact Dynamics simulations of quasistatically driven assemblies of rig...
We present an experiment in which a horizontal quasi-2D granular system with a fixed neighbor networ...
The force network of a granular assembly, defined by the contact network and the corresponding conta...
We present mathematical models based on persistent homology for analyzing force distributions in par...
Abstract. The plastic flow of granular materials reflects to a large extent the constraints imposed ...
The force network ensemble of Snoeijer et al. (Force network ensemble: a new approach to static gran...
Using numerical simulations, we investigate the evolution of the structure of force networks in slow...
Impact of an intruder on granular matter leads to formation of mesoscopic force networks seen parti...
When dense granular systems are exposed to external forcing, they evolve on the time scale that is t...
We carry out a direct comparison of experimental and numerical realizations of the exact same granul...
Abstract. We study topological and dynamical properties in sheared granular media particularly when ...
The force networks of different granular ensembles are defined and their topological properties stu...
International audienceWe carry out a direct comparison of experimental and numerical realizations of...
International audienceWe used a Contact Dynamics algorithm to investigate some of the statistical pr...
The interactions between particles in dense particulate systems are organized in force networks, mes...
International audienceUsing Contact Dynamics simulations of quasistatically driven assemblies of rig...
We present an experiment in which a horizontal quasi-2D granular system with a fixed neighbor networ...
The force network of a granular assembly, defined by the contact network and the corresponding conta...
We present mathematical models based on persistent homology for analyzing force distributions in par...
Abstract. The plastic flow of granular materials reflects to a large extent the constraints imposed ...
The force network ensemble of Snoeijer et al. (Force network ensemble: a new approach to static gran...