Definition of the Subject
The terminology granular matter refers to systems with a large number of hard objects (grains) of mesoscopic size ranging from millimeters tometers. Geological examples include desert sand and the rocks of a landslide. But the scope of such systems is much broader, including powders andsnow, edible products such a seeds and salt, medical products like pills, and extraterrestrial systems such as the surface regolith of Mars and therings of Saturn. The importance of a fundamental understanding for granular matter properties can hardly be overestimated. Practical issues ofcurrent concern range from disaster mitigation of avalanches and explosions of grain silos to immense economic consequences within the pharmaceuticalindustry. In addition, they are of academic and conceptual importance as well as examples of systems far from equilibrium.
Under many conditions of interest, granular matter flows like a normal fluid [1]. In thelatter case such flows are accurately...
Abbreviations
- Granular matter:
-
a system comprised of a large number of grains, or particles, of macroscopic size. Examples include powders, sand, seeds, and the surface of Mars.
- Granular fluid:
-
an activated (driven) state of granular matter such that the grains move (flow) and collide frequently.
- Statistical mechanics:
-
a field of physics that addresses systems with many degrees of freedom based on the fundamental microscopic laws to describe derived macroscopic properties.
- Macrostate :
-
a statistical description of a system with many degrees of freedom in terms of limited information about that system.
- Hydrodynamic fields:
-
the local densities of mass, energy, and momentum defined at each point in the system of interest.
- Normal state :
-
a macrostate whose time evolution is described entirely through that of the average hydrodynamic fields.
- Balance equations:
-
exact equations for the time derivatives of the hydrodynamic fields in terms of associated fluxes and sources.
- Constitutive equations:
-
expressions for the fluxes and sources of the balance equations as functionals of the hydrodynamic fields.
- Hydrodynamics:
-
a macroscopic description of the system in terms of a closed, deterministic set of equations for the average hydrodynamic fields, resulting from the exact balance equations with approximate constitutive equations.
- Navier–Stokes hydrodynamics:
-
local, first order in time, partial differential equations for states with small spatial gradients in the hydrodynamic fields (constitutive equations calculated to first order in the spatial gradients).
Bibliography
Primary Literature
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See, for instance, Goldhirsch I, Tan ML, Zanetti G (1993) A molecular dynamical study of granular fluids: the unforced granular gas. J Sci Comput 8:1–40; McNamara S, Young WR (1996) Dynamics of a freely evolving, two-dimensional granular medium. Phys Rev E 53:5089–5100; Deltour P, Barrat JL (1997) Quantitative study of a freely cooling granular medium. J Phys I 7:137–151
Brilliantov N, Pöschel T (2004) Kinetic Theory of Granular Gases. Oxford, New York
Dufty JW (2001) Kinetic theory and hydrodynamics for a low density gas. Adv Complex Syst 4:397–407. cond-mat/0109215.201
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Dufty JW, Brey JJ, Lutsko J (2002) Diffusion in a granular fluid. I. Theory Phys Rev E 65:051303; Lutsko J, Dufty JW, Brey JJ (2002) Diffusion in a granular fluid. II. Simulation. Phys Rev E 65:051305; Dufty JW, Garzó V (2001) Mobility and diffusion in granular fluids. J Stat Phys 105:723–744
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See for example articles (2002) In: Halsey T, Metha A (eds) Challenges in Granular Physics. World Scientific, Singapore
Dufty J, Brey JJ (2005) Origins of hydrodynamics for a granular gas. In: Pareschi L, Russo G, Toscani G, (eds) Modelling and Numerics of Kinetic Dissipative Systems Nova Science, New York, pp 17–30, cond-mat/0410133
Here the Navier–Stokes approximation is defined by calculating the cooling rate, energy flux, and momentum flux to first order in the gradients. However, the fluxes occur under a gradient in the macroscopic balance equations while the cooling rate does not. Hence the equations themselves do not have all terms to second order in the gradients (i. e., the additional terms of second order contributing to the cooling rate).
Huan C, Yang X, Candela D, Mair RW, and Walsworth RL (2004) NMR experiments on a three-dimensional vibrofluidized granular medium. Phys Rev E 69:041302
Bizon C, Shattuck MD, Swift JB, Swinney HL (1999) Transport coefficients for granular media from molecular dynamics simulations. Phys Rev E 60:4340–4351; Rericha EC, Bizon C, Shattuck MD, Swinney HL (2001) Shocks in supersonic sand. Phys Rev Lett 88:014302
See, for instance, Brey JJ, Ruiz-Montero MJ, Cubero D (1999) On the validity of linear hydrodynamics for low-density granular flows described by the Boltzmann equation. Europhys Lett 48:359–364; Brey JJ, Ruiz-Montero MJ, Cubero D, GarcÃa-Rojo R (2000) Self-diffusion in freely evolving granular gases. Phys Fluids 12:876–883; Garzó V, Montanero JM (2002) Transport coefficients of a heated granular gas. Physica A 313:336–356; Montanero JM, Santos A, Garzó V (2005) DSMC evaluation of the Navier–Stokes shear viscosity of a granular fluid. In: Capitelli M (ed) Rarefied Gas Dynamics 24 (AIP Conf Proc, vol 72), pp 797–802
Brey JJ, Ruiz-Montero MJ, Moreno F, Garcia-Rojo R (2002) Transversal inhomogeneities in dilute vibrofluidized granular fluids. Phys Rev E 65:061302; Brey JJ, Ruiz-Montero MJ, Moreno F (2001) Hydrodynamics of an open vibrated granular system. Phys Rev E 63:061305
Brey JJ, Ruiz-Montero MJ, Maynar P, Garzia de Soria MI (2005) Hydrodynamic modes, Green–Kubo relations, and velocity correlations in dilute granular gases. J Phys Cond Mat 17:S2489–S2502
Brey JJ, Dufty JW, Kim CS, Santos A (1998) Hydrodynamics for granular flow at low density. Phys Rev E 58:4638–4653; Sela N, Goldhirsch I (1998) Hydrodynamic equations for rapid flows of smooth inelastic spheres, to Burnett order. J Fluid Mech 361:41–74
Dufty JW, Brey JJ (2002) Green–Kubo expressions for a low density granular gas. J Stat Phys 109:433–448. cond-mat 0201361
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Dufty JW, Brey JJ (2005) Hydrodynamic modes for granular gases. Phys Rev E 68:030302; Brey JJ, Dufty JW (2005) Hydrodynamic modes for a granular gas from kinetic theory. Phys Rev E 72:011303
Dufty JW (2007) Fourier's law for a granular fluid. J Phys Chem B 111:15605–15612
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Hrenya C (2007) (private communication, and to be published)
Books and Reviews
Campbell CS (1990) Rapid granular flows. Ann Rev Fluid Mech 22:57–92
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Jaeger HM, Nagel SR, Behringer RP (1996) Granular solids, liquids, and gases. Rev Mod Phys 68:1259–1273
Duran J (2000) Sands, powders, and grains: an introduction to the physics of granular materials. Springer, New York
Pöschel T, Luding S (eds) (2001) Granular Gases. Springer, New York
Halsey T, Metha A (eds) (2002) Challenges in Granular Physics. World Scientific, Singapore
Campbell CS (2002) Granular shear flows in the elastic limit. J Fluid Mech 465:261–291
Pöschel T, Brilliantov N (eds) (2003) Granular Gases Dynamics. Springer, New York
Goldhirsch I (2003) Rapid granular flows. Annu Rev Fluid Mech 35:267–293
Brilliantov N, Pöschel T (2004) Kinetic Theory of Granular Gases. Oxford, New York
Hinrichsen H, Wolf D (eds) (2004) The Physics of Granular Media. Wiley-VCH, Berlin
Coniglio A, Fierro A, Herrmann H, Nicodemi M (eds) (2004) Unifying Concepts in Granular Media and Glasses. Elsevier, Amsterdam
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Dufty JW (2007) Nonequilibrium statistical mechanics and hydrodynamics for a granular fluid. Six lectures at the Second Warsaw School on Statistical Physics. Kazimierz, Poland. arXiv:0707.3714
Acknowledgments
The author is indebted to Professor J. Javier Brey and Dr. Aparna Baskaran of Syracuse University for their collaboration on closely related linear response methods for granular fluids.
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Appendix
Appendix
Gradient expansion In this Appendix the Liouville equation in the form (34) is written to first order in the gradients and solved. Also the invariants of the associated dynamics areidentified.
Consider first the right side of (34) which can be written equivalently as
The first equality follows from (17) and (21). The first two terms are determined by the local HCS which can be expanded to first order in the gradients
The functional derivatives are
Here,
and \( { \rho _{0}\left(\left\langle a_{\alpha} \left(\mathbf{r}\right) ;t\right\rangle \right) } \) is the actual HCS with its global density, energy, and momentum evaluated at the common values \( { \left\langle a_{\alpha} \left(\mathbf{r}\right) ;t\right\rangle } \). It follows from (32) that the averages of \( { a_{\alpha} \left(\mathbf{r}\right) } \) for \( { \rho ,\rho _{0\ell} , } \) and \( { \rho _{0} } \) are all the same. This in turn gives
With these results and the fact that Δ is of first order in the gradients, (78) to first orderin the gradients becomes
The matrix \( { K^\text{T} } \) is the transpose of K
and I is the unit matrix. The generator \( { \overline{\mathcal{L}} } \) is the same as that of (12) with \( { \omega \rightarrow \omega _{0}(\left\langle a_{\alpha} \left(\mathbf{r}\right) ;t\right\rangle) } \) for the HCS evaluated at the common values \( { \left\langle a_{\alpha} \left(\mathbf{r}\right) ;t\right\rangle } \)
Finally, \( { \mathcal{P} } \) is the projection operator
The first term of (83) vanishes by definition of the HCS, \( { \rho _{0} } \), confirming that the right side of the Liouville Eq. (34) is of first order in the gradients.
At this point, the Liouville Eq. (34) becomes
This equation is still exact up through contributions of first order in the gradients. It has solutions of the form
Substitution into (87) gives the corresponding equation for \( { \mathbf{ G}_{\nu} } \)
with the solution
It is possible to add to (87) an arbitrary solution to the homogeneous equation corresponding to (90). As described in the text, this represents the dynamics of the first stage of rapid velocity relaxation to the local HCS. The interest here is in the second stage where possible formation of a normal solution occurs. Hence, it is simpler to choose that stage for initial conditions (initial local HCS).
Define the derivatives of the HCS by
Then differentiate the equation for \( { \rho _{0} } \)
to get
Since \( { \left(I\overline{\mathcal{L}}_{T}+K^\text{T}\right) } \) is the generator for the dynamics in (91) this shows that \( { \Psi _{\beta} } \) are the invariants of that dynamics.
The projection operator \( { \mathcal{P} } \)in (95) acts only on phase functions with translational invariance. In that case (86) simplifies to
The first equality of (82) becomes \( { \mathcal{P}\mathbf{m}_{\beta} =0\:. } \) This in turn gives
Then \( { \left(1-\mathcal{P}\right) \boldsymbol{\Upsilon} _{\alpha} ^{\prime} } \) simplifies to
with
Use has been made of the identity
This same identity leads to a simplification of the dynamics in (91)
In summary, the solution to the Liouville equation to first order in the gradients is
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Dufty, J.W. (2009). Granular Flows. In: Meyers, R. (eds) Encyclopedia of Complexity and Systems Science. Springer, New York, NY. https://doi.org/10.1007/978-0-387-30440-3_259
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