Literature DB >> 16482153

Scale invariance and universality of force networks in static granular matter.

Srdjan Ostojic1, Ellák Somfai, Bernard Nienhuis.   

Abstract

Force networks form the skeleton of static granular matter. They are the key factor that determines mechanical properties such as stability, elasticity and sound transmission, which are important for civil engineering and industrial processing. Previous studies have focused on investigations of the global structure of external forces (the boundary condition) and on the probability distribution of individual contact forces. So far, however, precise knowledge of the disordered spatial structure of the force network has remained elusive. Here we report that molecular dynamics simulations of realistic granular packings reveal scale invariance of clusters of particles interacting by means of relatively strong forces. Despite visual variation, force networks for various values of the confining pressure and other parameters have identical scaling exponents and scaling function, thereby determining a universality class. Unexpectedly, the flat ensemble of force configurations (a simple generalization of equilibrium statistical mechanics) belongs to this universality class, whereas some widely studied simplified models do not. This implies that the elasticity of the grains and their geometrical disorder do not affect the universal mechanical properties.

Entities:  

Year:  2006        PMID: 16482153     DOI: 10.1038/nature04549

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  7 in total

1.  Arches and contact forces in a granular pile.

Authors:  C M Carlevaro; L A Pugnaloni
Journal:  Eur Phys J E Soft Matter       Date:  2012-06-13       Impact factor: 1.890

2.  Void distributions reveal structural link between jammed packings and protein cores.

Authors:  John D Treado; Zhe Mei; Lynne Regan; Corey S O'Hern
Journal:  Phys Rev E       Date:  2019-02       Impact factor: 2.529

Review 3.  Strange dynamics of a dynamic cytoskeleton.

Authors:  Trang T B Nguyen; Jeffrey J Fredberg
Journal:  Proc Am Thorac Soc       Date:  2008-01-01

4.  Force Transmission Modes of Non-Cohesive and Cohesive Materials at the Critical State.

Authors:  Ji-Peng Wang
Journal:  Materials (Basel)       Date:  2017-08-31       Impact factor: 3.623

5.  Robust prediction of force chains in jammed solids using graph neural networks.

Authors:  Rituparno Mandal; Corneel Casert; Peter Sollich
Journal:  Nat Commun       Date:  2022-07-30       Impact factor: 17.694

6.  Critical dynamics in genetic regulatory networks: examples from four kingdoms.

Authors:  Enrique Balleza; Elena R Alvarez-Buylla; Alvaro Chaos; Stuart Kauffman; Ilya Shmulevich; Maximino Aldana
Journal:  PLoS One       Date:  2008-06-18       Impact factor: 3.240

7.  Enhancing the linear flow of fine granules through the addition of elongated particles.

Authors:  Zhiguo Guo; Xueli Chen; Yang Xu; Haifeng Liu
Journal:  Sci Rep       Date:  2015-11-09       Impact factor: 4.379

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.