2015
DOI: 10.1103/physrevlett.115.158001
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Effective Wall Friction in Wall-Bounded 3D Dense Granular Flows

Abstract: We report numerical simulations on granular shear flows confined between two flat but frictional sidewalls. Novel regimes differing by their strain localization features are observed. They originate from the competition between dissipation at the sidewalls and dissipation in the bulk of the flow. The effective friction at sidewalls is characterized (effective friction coefficient and orientation of the friction force) for each regime, and its interdependence with slip and force fluctuations is pointed out. We … Show more

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Cited by 53 publications
(84 citation statements)
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“…A full characterisation of the system in terms of the other variables (stresses, fluctuating energy balance, wall fields) will be given elsewhere. It has to be noted that an analysis of wall friction and wall slip in a similar geometry has recently appeared [31].…”
Section: Resultsmentioning
confidence: 99%
“…A full characterisation of the system in terms of the other variables (stresses, fluctuating energy balance, wall fields) will be given elsewhere. It has to be noted that an analysis of wall friction and wall slip in a similar geometry has recently appeared [31].…”
Section: Resultsmentioning
confidence: 99%
“…Consistent with the focus of the present work, we will demonstrate that our implementation is capable of handling all types of fluidity boundary conditions by showing mesh convergence for bothζ = 0 and g = 0 fluidity boundary conditions. A more concrete understanding of the physics of the fluidity boundary condition will require detailed experiments and discrete-element method calculations to probe the relationship between the wall condition and the fluidity, and recent work has begun to address this open research question [60,61].…”
Section: Fluidity Boundary Conditionsmentioning
confidence: 99%
“…We start with the hypothesis that for hard particles, g should relate to velocity fluctuations, δv, a quantity key to a number of granular flow models [8,[31][32][33][34][35]. From its constitutive definition, g =γ/µ has dimensions of inverse time.…”
mentioning
confidence: 99%