M A C Koenders

The Physics of the Deformation of Densely Packed Granular Materials


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is the motion of sheared layers of granular materials in geological settings — see [Petford and Koenders, 2003] — in which hot magma is sucked up under volcanoes.

      Further scrutiny of Fig. 1.1, the photo-elastic assembly of discs, shows another interesting feature: the force distribution is very heterogeneous. Some regions are entirely force-free, while other regions experience high inter-particle forces that frequently — but not exclusively — line up to form ‘force bridges’. The variability in contact forces points to an accompanying variability in local deformations. Here is something that will prove very important in the study of the mechanics of granular media that are not packed in a regular lattice (which is only possible if there is only one grain size or for a very particular combination of sizes), which is the norm in any naturally occurring sample: granular media are intrinsically heterogeneous. The consequences of this for the mechanics of a granular assembly will be explored in forthcoming chapters.

      When the material reaches the plateau of the stress ratio in Fig. 1.2 another feature may become apparent. As the tangent modulus becomes poorly defined the material may find, depending on the precise boundary conditions, a mode of motion that is localised. Such ‘rupture layers’ and ‘failure’ are very important for the engineering community, as illustrated in the example of a landslide occurring as described earlier in this section.

      Literature on soil mechanics is plentiful: [Lambe and Whitman, 1969] is a classic text, as is [Terzaghi, Peck and Mesri, 1996]; [Powrie, 2004] is a more modern textbook.

      A static packed assembly of grains in contact confined by a compressive stress is equivalent to a network of forces. As it is static, force and moment equilibrium will hold. The question being addressed in this section is: how many forces in the network can be specified in such a way that force and moment equilibrium alone are sufficient to determine them, given the detailed geometry of the conformation?

      A few conditions need to be laid down to come to a non-trivial answer. The first is that a regular packing is excluded from the analysis; an assembly in a regular packing satisfies certain symmetry rules which need to be imposed in addition to the equilibrium equations. Thus, a medium that consists of identical spherical particles is not accounted for at this stage. Rather, a polydisperse grain-size distribution is envisaged, making for a random packing. Alternatively, rough particles may make up the assembly. No isotropic condition imposition is necessary, though this is often (sometimes tacitly) assumed in the literature. Furthermore, it is assumed that the assembly is very large, so that the number of forces on the perimeter of the sample is small compared to the number of forces in the network. Basically, any condition that somehow constrains the forces in the network is excluded for the moment, implying that the equilibrium equations alone are sufficient to do the analysis. Specific constraining assumptions are discussed below.

      In a random packing with N interacting particles in d dimensions there are Nd force equilibrium equations, as each particle that participates in the network is in equilibrium. The force moment equilibrium for each particle provides d(d – 1)/2 equations, so for N particles there are Nd + Nd(d – 1)/2 = Nd(d + 1)/2 equations. Each contact force will have d components and is shared by two particles. Equating the two gives the result that it is possible to calculate N(d + 1) forces, or an assembly coordinate number, that is the number of contacts per particle, of Nc,iso = d + 1 forces on average (the subscript ‘iso’ refers to the isostatic case). Note that this average pertains to particles that participate in the force network. It is well possible that a fair percentage of particles have no contact and these obviously do not contribute to the evaluation of the isostatic coordinate number.

      When there are more force-carrying contacts, the equilibrium equations alone will not be able to permit the calculation of the forces. The system is then statically indeterminate. When there are fewer than d + 1 contact forces per particle there are more equations than unknowns and the system cannot be in static equilibrium. The isostatic state is therefore a very precarious, marginally stable state. The slightest disruption that results in the loss of even one contact will make the structure change until the number of force-carrying contacts is at least equal to the required number.

      The number d + 1, which equals 3 in two dimensions and 4 in three dimensions, compared to any experimental result for a densely packed material shows that for practical purposes the statically indeterminate state is much more relevant. However, the analysis changes somewhat when constraints are imposed. So, the assumption of randomness is still maintained, but a constraint may follow from the fact that certain contacts slip. In that case the nature of friction must be considered.

      Particles interact via their surfaces and these need not be smooth. As long as the surfaces are ‘infinitely sticky’ the force component that is tangential to the surface is free to take any value. In cases where slip is relevant, a Coulomb-type constraint reigns in which the magnitude of the tangential force remains equal to μs times the normal force. Contact forces must then be classified according to those that stick and those that slip. Let the ratio of slipping contacts in the assembly be given as a fraction of all the contact forces, then the number of sticking forces populates a fraction 1 – . The number of equations and unknowns now stack up as follows:

      Nd force equilibrium equations

      Nd(d – 1)/2 moment equilibrium equations

      NNc,iso/2 slipping conditions

      NdNc,iso/2 unknown contact force components

      Equating the number of equations with the number of unknowns gives the result that the coordinate number per particle is

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      The implication is that as the fraction of slipping contacts increases, the number of contacts that need to be accommodated in the assembly will go up. When all contacts slip ( = 1) in both two and three dimensions the value of Nc,iso is 6.

      A very special case occurs when there is no friction and the particles are perfectly spherical or discs. In that case all forces are normal to the contact surfaces and the moment equations become redundant: Nc,iso = 2d.

      Again it is emphasised that these considerations only pertain to the particles that participate in the force network.

      An experiment may be envisaged in which the particle assembly starts of as very dilute; it is then compacted (say, isotropically). There comes a point in this process when the particles begin to touch. When the number of particles that touch is sufficient for the medium to be on the edge of static equilibrium the assembly is said to ‘jam’. Compressing the assembly further will involve the compression of enduring contacts and therefore the development of a stress. The packing density at which the jamming transition takes place may be determined in numerical simulations. The outcome depends on assumptions on polydispersity (for spheres and discs), the details of the simulation method (gravity on or off, for example) and — indeed — the precise definition of the jamming density. Therefore, the concept of a ‘jamming transition density’ may only have approximate meaning.

      Moreover, the analysis above shows that the number of contacts that can be supported in the isostatic state depends strongly on the fraction of the contacts that slip. In numerical simulations parameters can be tightly controlled to set the value of inter-particle friction (infinite and zero are popular choices), as well as the shape of the particles that participate in the simulation and the strain path that is employed. In any physical experiment with natural or manufactured particles, however, these parameters are not so easily controlled. The inter-particle friction coefficient, for example, may exhibit natural variation and therefore take a range of values; furthermore, particles tend to be rough and only approximately spherical.

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