AbstractOne of the great challenges in the science of complex materials – materials capable of emergent behavior such as self-organized pattern formation – is deciphering their “inherent” structural design principles as they deform in response to external loads. We have been exploring the efficacy of techniques from complex networks to the study of dense granular materials as a means to: (i) uncover such design principles and (ii) identify suitable metrics that quantify the evolution of structure during deformation. Herein, we characterize the developing network structure and loss of connectivity in a quasistatically deforming granular medium from the perspective of complex networks. Attention is paid to the evolution of the contact and con...
Using numerical simulations, we investigate the evolution of the structure of force networks in slow...
International audienceUsing Contact Dynamics simulations of quasistatically driven assemblies of rig...
International audienceWe used a Contact Dynamics algorithm to investigate some of the statistical pr...
The force networks of different granular ensembles are defined and their topological properties stu...
As a granular material is compressed, the particles and forces within the system arrange to form com...
2011-2012 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe
International audienceWe focus on structural evolution inside a deforming granular material, in thre...
International audienceThe paper studies the evolution of contact forces in granular materials as a p...
We investigate the evolution of the force network in experimental systems of two-dimensional granula...
International audienceWe carry out a direct comparison of experimental and numerical realizations of...
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...
Impact of an intruder on granular matter leads to formation of mesoscopic force networks seen parti...
The structure of the contact network in granular assemblies can evolve due to either dissipative mec...
Granular materials are collections of objects ranging from sand grains that form sand piles or even ...
Using numerical simulations, we investigate the evolution of the structure of force networks in slow...
International audienceUsing Contact Dynamics simulations of quasistatically driven assemblies of rig...
International audienceWe used a Contact Dynamics algorithm to investigate some of the statistical pr...
The force networks of different granular ensembles are defined and their topological properties stu...
As a granular material is compressed, the particles and forces within the system arrange to form com...
2011-2012 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe
International audienceWe focus on structural evolution inside a deforming granular material, in thre...
International audienceThe paper studies the evolution of contact forces in granular materials as a p...
We investigate the evolution of the force network in experimental systems of two-dimensional granula...
International audienceWe carry out a direct comparison of experimental and numerical realizations of...
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...
Impact of an intruder on granular matter leads to formation of mesoscopic force networks seen parti...
The structure of the contact network in granular assemblies can evolve due to either dissipative mec...
Granular materials are collections of objects ranging from sand grains that form sand piles or even ...
Using numerical simulations, we investigate the evolution of the structure of force networks in slow...
International audienceUsing Contact Dynamics simulations of quasistatically driven assemblies of rig...
International audienceWe used a Contact Dynamics algorithm to investigate some of the statistical pr...