The frictional properties of dense granular matter under steady shear flow are investigated using numerical simulation. Shear flow tends to localize near the driving boundary unless the coefficient of restitution is close to zero and the driving velocity is small. The bulk friction coefficient is independent of shear rate in dense and slow flow, whereas it is an increasing function of shear rate in rapid flow. The coefficient of restitution affects the friction coefficient only in such rapid flow. Contrastingly, in dense and slow regime, the friction coefficient is independent of the coefficient of restitution and mainly determined by the elementary friction coefficient and the rotation of grains. It is found that the mismatch between the vorticity of flow and the angular frequency of grains plays a key role to the frictional properties of sheared granular matter.
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Univ Paris Est, Inst Navier, LCPC ENPC, CNRS, F-77420 Champs Sur Marne, FranceUniv Paris Est, Inst Navier, LCPC ENPC, CNRS, F-77420 Champs Sur Marne, France
Chevoir, Francois
Roux, Jean-Noeel
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Univ Paris Est, Inst Navier, LCPC ENPC, CNRS, F-77420 Champs Sur Marne, FranceUniv Paris Est, Inst Navier, LCPC ENPC, CNRS, F-77420 Champs Sur Marne, France
Roux, Jean-Noeel
da Cruz, Frederic
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Univ Paris Est, Inst Navier, LCPC ENPC, CNRS, F-77420 Champs Sur Marne, FranceUniv Paris Est, Inst Navier, LCPC ENPC, CNRS, F-77420 Champs Sur Marne, France
da Cruz, Frederic
Rognon, Pierre G.
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Univ Paris Est, Inst Navier, LCPC ENPC, CNRS, F-77420 Champs Sur Marne, FranceUniv Paris Est, Inst Navier, LCPC ENPC, CNRS, F-77420 Champs Sur Marne, France
Rognon, Pierre G.
Koval, Georg, Jr.
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Univ Paris Est, Inst Navier, LCPC ENPC, CNRS, F-77420 Champs Sur Marne, FranceUniv Paris Est, Inst Navier, LCPC ENPC, CNRS, F-77420 Champs Sur Marne, France
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New Jersey Inst Technol, Dept Math Sci, Ctr Appl Math & Stat, Newark, NJ 07102 USANew Jersey Inst Technol, Dept Math Sci, Ctr Appl Math & Stat, Newark, NJ 07102 USA
Kondic, L.
Fang, X.
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New Jersey Inst Technol, Dept Math Sci, Ctr Appl Math & Stat, Newark, NJ 07102 USANew Jersey Inst Technol, Dept Math Sci, Ctr Appl Math & Stat, Newark, NJ 07102 USA
Fang, X.
Dybenko, O. M.
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New Jersey Inst Technol, Dept Engn Mech, Newark, NJ 07102 USANew Jersey Inst Technol, Dept Math Sci, Ctr Appl Math & Stat, Newark, NJ 07102 USA
Dybenko, O. M.
Behringer, R. P.
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Duke Univ, Dept Phys, Ctr Nonlinear & Complex Syst, Durham, NC 27708 USANew Jersey Inst Technol, Dept Math Sci, Ctr Appl Math & Stat, Newark, NJ 07102 USA