Literature DB >> 20582447

Force networks and elasticity in granular silos.

J F Wambaugh1, R R Hartley, R P Behringer.   

Abstract

We have made experimental observations of the force networks within a two-dimensional granular silo similar to the classical system of Janssen. Models like that of Janssen predict that pressure within a silo saturates with depth as the result of vertical forces being redirected to the walls of the silo where they can then be carried by friction. We use photoelastic particles to obtain information not available in previous silo experiments --the internal force structure. We directly compare various predictions with the results obtained by averaging ensembles of experimentally obtained force networks. We identify several differences between the mean behavior in our system and that predicted by Janssen-like models: We find that the redirection parameter describing how the force network transfers vertical forces to the walls varies with depth. We find that changes in the preparation of the material can cause the pressure within the silo to either saturate or to continue building with depth. Most strikingly, we observe a nonlinear response to overloads applied to the top of the material in the silo. For larger overloads we observe the previously reported "giant overshoot" effect where overload pressure decays only after an initial increase (G. Ovarlez et al., Phys. Rev. E 67, 060302(R) (2003)). For smaller overloads we find that additional pressure propagates to great depth. Analysis of the differences between the inter-grain contact and force networks suggests that, for our system, when the load and the particle weight are comparable, particle elasticity acts to stabilize the force network, allowing deep propagation. For larger loads, the force network rearranges, resulting in the expected, Janssen-like behavior. Thus, a meso-scale network phenomenon results in an observable nonlinearity in the mean pressure profile.

Year:  2010        PMID: 20582447     DOI: 10.1140/epje/i2010-10608-1

Source DB:  PubMed          Journal:  Eur Phys J E Soft Matter        ISSN: 1292-8941            Impact factor:   1.890


  12 in total

1.  Footprints in sand: the response of a granular material to local perturbations.

Authors:  J Geng; D Howell; E Longhi; R P Behringer; G Reydellet; L Vanel; E Clément; S Luding
Journal:  Phys Rev Lett       Date:  2001-07-02       Impact factor: 9.161

2.  Rheology of a confined granular material.

Authors:  G Ovarlez; E Kolb; E Clément
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2001-11-27

3.  Memories in sand: experimental tests of construction history on stress distributions under sandpiles.

Authors:  L Vanel; D Howell; D Clark; R P Behringer; E Clément
Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics       Date:  1999-11

4.  Dynamical Janssen effect on granular packing with moving walls.

Authors:  Yann Bertho; Frédérique Giorgiutti-Dauphiné; Jean-Pierre Hulin
Journal:  Phys Rev Lett       Date:  2003-04-10       Impact factor: 9.161

5.  Confined granular packings: structure, stress, and forces.

Authors:  James W Landry; Gary S Grest; Leonardo E Silbert; Steven J Plimpton
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2003-04-21

6.  Granular packings with moving side walls.

Authors:  James W Landry; Gary S Grest
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2004-03-16

7.  Overshoot effect in the Janssen granular column: a crucial test for granular mechanics.

Authors:  G Ovarlez; C Fond; E Clément
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2003-06-30

8.  Scale separation in granular packings: stress plateaus and fluctuations.

Authors:  C Goldenberg; A P F Atman; P Claudin; G Combe; I Goldhirsch
Journal:  Phys Rev Lett       Date:  2006-04-28       Impact factor: 9.161

9.  Elastic medium confined in a column versus the Janssen experiment.

Authors:  G Ovarlez; E Clément
Journal:  Eur Phys J E Soft Matter       Date:  2005-04       Impact factor: 1.890

10.  Statistical data analysis in the computer age.

Authors:  B Efron; R Tibshirani
Journal:  Science       Date:  1991-07-26       Impact factor: 47.728

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