Shear-induced diffusion and dynamic heterogeneities in dense granular flows

We study two-dimensional dense granular flows by molecular dynamics simulations. quantify shear-induced diffusion of particles the transverse component particle displacements. In long time scales, displacements are described as normal and obey Gaussian distributions, where correlations velocities entirely vanish. short strongly non-Gaussian if system is sheared quasistatically though memory effects on further suppressed. also analyze spatio-temporal structures self-intermediate scattering functions dynamic susceptibilities. find that relation between maximum intensity characteristic scale for heterogeneities dependent models contact damping (which exhibit different rheological properties such Newtonian fluids’ behavior shear thickening). addition, coefficient over rate linear (sub-linear) in susceptibility force not restricted (restricted) to direction contact.