Mesoscopic features of a granular dynamics under cyclic compression

ORAL

Abstract

We study the reversibility of rotational motion of spherical grains via molecular dynamics simulations. From the simulations, we are able to capture the motion, position, and force distribution of grains during cyclical compression and dilation and find excellent agreement with our experimental data. Additionally, we analyze the network structure formed from the contact forces between individual grains and show how the network dynamics are affected by compression amplitude as well as the evolution of the network from a transient to a steady state. Further, we use a simple machine learning approach combined with experimental data to characterize different states of our granular system.

*This work was supported by National Science Foundation grant #5244620 as well as the National Science Foundation Graduate Research Fellowship Program.

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Presenters

  • Zackery Benson

    • IREAP, IPST, University of Maryland, College Park

Authors

  • Zackery Benson

    • IREAP, IPST, University of Maryland, College Park

  • Anton Peshkov

    • IREAP, IPST, University of Maryland, College Park
    • IREAP, University of Maryland, College Park

  • Michelle Girvan

    • University of Maryland, College Park
    • IREAP, IPST, University of Maryland, College Park
    • Departments of Physics, IPST and IREAP, University of Maryland, College Park

  • Derek C. Richardson

    • Department of Astronomy, University of Maryland, College Park

  • Wolfgang Losert

    • University of Maryland, College Park
    • Department of Physics, University of Maryland
    • Institute of Physical Sciences, University of Maryland, College Park
    • Department of Physics, University of Maryland,College Park
    • Physics, University of Maryland, College Park
    • Department of Physics, University of Maryland-College Park
    • IREAP, IPST, University of Maryland, College Park
    • Departments of Physics, IPST and IREAP, University of Maryland, College Park