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Planar Couette Flow

  Planar Couette flow occurs when the steady state streaming velocity, , is a linear function of position . In particular, assume . Shear flow, like all Navier-Stokes transport processes, is   driven by boundary conditions (e.g. moving walls). This is inconvenient for computer simulations because of the huge surface effects that would be induced in the small systems which we are capable of simulating on computers ().

Computer simulation of equilibrium systems has always employed periodic boundary conditions to minimize size dependence effects. Figure gif illustrates a way of adapting periodic boundary conditions to planar Couette flow. The so-called Lees-Edwards periodic boundary   conditions [Lees and Edwards [1972]] employ time varying nonorthogonal lattice vectors. The perpendicular height of the cells remains fixed so that the shearing deformation occurs isochorically. Once , it may be reset to 0 without changing the mutual disposition of particles. If a particle exits a cell through a top face, it is replaced by its periodic image which enters at the bottom face. This image will be positioned according to the current angle of the slewing lattice vector. The x-component of its velocity will be the old velocity minus the strain rate multiplied by the perpendicular height of the cell. Its peculiar velocity ( i.e. relative to the planar velocity profile) is unchanged.

  
Figure: Lees-Edwards Periodic Boundary Conditions for Planar Couette Flow

This is all that is really needed to run a molecular dynamics simulation of planar Couette flow at low Reynolds number. Reynolds number The flow of the periodic particles above and below the primitive cell will try to induce a linear velocity profile in the system. One simply solves Newton's equations of motion for the system of N interacting particles, waits for the initial transients to decay, and then accumulates statistical averages for the shear stress, the energy, etc.

Of course such a system will heat up. It will never achieve a steady state. To remedy this, we may employ a Gaussian or Nosé-Hoover thermostat. We must be    careful, however, to ensure that it is the peculiar velocities which are   thermostatted, and not the laboratory velocities. If the Reynolds number is sufficiently small so that a linear velocity profile is stable, the streaming velocity will be .

  The so-called SLLOD equations provide a more convenient and more elegant set of variables with which to work. The first advantage of the SLLOD equations of motion is that they only involve the coordinates and the peculiar momenta of the particles. Since the thermostat, the internal energy and the pressure all involve peculiar, rather than laboratory velocities, this is an advantage.

The second advantage is that SLLOD momenta are continuous as particles leave and enter the primitive cell, as the calculation is more stable than it otherwise might be. The SLLOD equations of motion are:

Differentiating the equation gives:

Thus, except at t=0, when the shear rate is switched on, the SLLOD equations of motion are simply Newton's. Once the shear motion has impulsively started at t=0, the Lees-Edwards boundary conditions continue the shear flow motion.   The third advantage of the SLLOD equations is that they transform a boundary driven system to one with an external field, which makes the system more amenable to theoretical analysis.



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Next: Colour Current Up: Models of Nonequilibrium Previous: Models of Nonequilibrium



Russell Standish
Thu May 18 11:43:52 EST 1995