Network flow model of force transmission in unbonded and bonded granular media

dc.contributor.author

Tordesillas, Antoinette

dc.contributor.author

Tobin, Steven T

dc.contributor.author

Cil, Mehmet

dc.contributor.author

Alshibli, Khalid

dc.contributor.author

Behringer, Robert P

dc.date.accessioned

2015-12-02T14:54:57Z

dc.date.issued

2015-06-08

dc.description.abstract

An established aspect of force transmission in quasistatic deformation of granular media is the existence of a dual network of strongly versus weakly loaded particles. Despite significant interest, the regulation of strong and weak forces through the contact network remains poorly understood. We examine this aspect of force transmission using data on microstructural fabric from: (I) three-dimensional discrete element models of grain agglomerates of bonded subspheres constructed from in situ synchrotron microtomography images of silica sand grains under unconfined compression and (II) two-dimensional assemblies of unbonded photoelastic circular disks submitted to biaxial compression under constant volume. We model force transmission as a network flow and solve the maximum flow-minimum cost (MFMC) problem, the solution to which yields a percolating subnetwork of contacts that transmits the "maximum flow" (i.e., the highest units of force) at "least cost" (i.e., the dissipated energy from such transmission). We find the MFMC describes a two-tier hierarchical architecture. At the local level, it encapsulates intraconnections between particles in individual force chains and in their conjoined 3-cycles, with the most common configuration having at least one force chain contact experiencing frustrated rotation. At the global level, the MFMC encapsulates interconnections between force chains. The MFMC can be used to predict most of the force chain particles without need for any information on contact forces, thereby suggesting the network flow framework may have potential broad utility in the modeling of force transmission in unbonded and bonded granular media.

dc.identifier.eissn

1550-2376

dc.identifier.issn

1539-3755

dc.identifier.uri

https://hdl.handle.net/10161/10931

dc.relation.ispartof

Physical Review E - Statistical, Nonlinear, and Soft Matter Physics

dc.relation.isversionof

10.1103/PhysRevE.91.062204

dc.title

Network flow model of force transmission in unbonded and bonded granular media

dc.type

Journal article

pubs.issue

6

pubs.organisational-group

Duke

pubs.organisational-group

Physics

pubs.organisational-group

Trinity College of Arts & Sciences

pubs.publication-status

Published

pubs.volume

91

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
PhysRevE.91.062204.pdf
Size:
3.43 MB
Format:
Adobe Portable Document Format
Description:
Published version