Memory in 3D cyclically driven granular material

Abstract

We perform experimental and numerical studies of a granular system under cyclic-compression to investigate reversibility and memory effects. We focus on the quasi-static forcing of dense systems, which is most relevant to a wide range of geophysical, industrial, and astrophysical problems. We find that soft-sphere simulations with proper stiffness and friction quantitatively reproduce both the translational and rotational displacements of the grains. We then utilize these simulations to demonstrate that such systems are capable of storing the history of previous compressions. While both mean translational and rotational displacements encode such memory, the response is fundamentally different for translations compared to rotations. For translational displacements, this memory of prior forcing depends on the coefficient of static inter-particle friction, but rotational memory is not altered by the level of friction.

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Cited by in corpus (5)

• Dissipation indicates memory formation in driven disordered systems
• Experimentally measuring rolling and sliding in three-dimensional dense granular packings
• Microstructural and rheological training and memory of nanocolloidal soft glasses under cyclic shear
• Effects of interparticle friction on the response of 3D cyclically compressed granular material
• Memories of amplitude and direction coexist and compete in non-Brownian suspensions