Journal article
Towards an optimization theory for deforming dense granular materials: Minimum cost maximum flow solutions
Q Lin, A Tordesillas
Journal of Industrial and Management Optimization | Published : 2014
Abstract
We use concepts and techniques of network optimization theory to gain a better understanding of force transmission in dense granular materials. Specifically, we represent a deforming granular material over the different stages of a quasi-static biaxial compression test as a series of representative flow networks, and analyze force transmission through these networks. The forces in such a material are transmitted through the contacts between the constituent grains. As the sample deforms during the various stages of the biaxial test, these grains rearrange: while many contacts are preserved in this rearrangement process, some new contacts form and some old contacts break. We consider the maxim..
View full abstractGrants
Awarded by AT through the Australian Research Council Discovery
Awarded by US Army Research Office Single Investigator Award
Funding Acknowledgements
This study was supported from grants to AT through the Australian Research Council Discovery Project DP120104759, the Melbourne Energy Institute seed fund, and the US Army Research Office Single Investigator Award W911NF-11-1-0175.