Journal article

Transmission of kinematic information in dense granular systems: local and nonlocal network sensing

David M Walker, Antoinette Tordesillas, Amy L Rechenmacher



We study how kinematic information propagates in plane strain compression tests for two granular samples, one comprising glass beads and the other is sand. Of interest are the structures of directed networks constructed from static linear relationships among grain-scale kinematical measurements obtained using digital image correlation. The exact form and kinematical information used in each linear relationship is selected using a data modelling algorithm that appeals to the information theory description length philosophy encapsulated by the principle of Occam's Razor. For both tests, we find that the observation sites with the most complicated relationships (i.e., those which require the x-..

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Awarded by US Army Research Office

Awarded by Australian Research Council

Awarded by USA National Science Foundation (NSF)

Funding Acknowledgements

We thank Dr. John Peters for valuable insights and useful comments. This work was partially supported by the US Army Research Office (W911NF-11-1-0175), the Australian Research Council (DP0986876 and DP120104759), and the Melbourne Energy Institute (AT, DMW). ALR is supported by USA National Science Foundation (NSF) Grant CMMI-0748284.