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Stokesian dynamics is a solution technique for the
Langevin equation In physics, a Langevin equation (named after Paul Langevin) is a stochastic differential equation describing how a system evolves when subjected to a combination of deterministic and fluctuating ("random") forces. The dependent variables in a Lange ...
, which is the relevant form of
Newton's 2nd law Newton's laws of motion are three basic laws of classical mechanics that describe the relationship between the motion of an object and the forces acting on it. These laws can be paraphrased as follows: # A body remains at rest, or in motio ...
for a Brownian particle. The method treats the suspended particles in a discrete sense while the continuum approximation remains valid for the surrounding fluid, i.e., the suspended particles are generally assumed to be significantly larger than the molecules of the solvent. The particles then interact through hydrodynamic forces transmitted via the continuum fluid, and when the particle
Reynolds number In fluid mechanics, the Reynolds number () is a dimensionless quantity that helps predict fluid flow patterns in different situations by measuring the ratio between inertial and viscous forces. At low Reynolds numbers, flows tend to be domi ...
is small, these forces are determined through the linear Stokes equations (hence the name of the method). In addition, the method can also resolve non-hydrodynamic forces, such as Brownian forces, arising from the fluctuating motion of the fluid, and interparticle or external forces. Stokesian Dynamics can thus be applied to a variety of problems, including sedimentation, diffusion and rheology, and it aims to provide the same level of understanding for multiphase particulate systems as molecular dynamics does for statistical properties of matter. For N rigid particles of radius a suspended in an incompressible Newtonian fluid of viscosity \eta and density \rho, the motion of the fluid is governed by the Navier–Stokes equations, while the motion of the particles is described by the coupled equation of motion: :\mathbf\frac = \mathbf^\mathrm + \mathbf^\mathrm + \mathbf^\mathrm. In the above equation \mathbf is the particle translational/rotational velocity vector of dimension 6N. \mathbf^\mathrm is the hydrodynamic force, i.e., force exerted by the fluid on the particle due to relative motion between them. \mathbf^\mathrm is the
stochastic Stochastic (, ) refers to the property of being well described by a random probability distribution. Although stochasticity and randomness are distinct in that the former refers to a modeling approach and the latter refers to phenomena themselv ...
Brownian force due to thermal motion of fluid particles. \mathbf^\mathrm is the deterministic nonhydrodynamic force, which may be almost any form of interparticle or external force, e.g. electrostatic repulsion between like charged particles.
Brownian dynamics Brownian dynamics (BD) can be used to describe the motion of molecules for example in molecular simulations or in reality. It is a simplified version of Langevin dynamics and corresponds to the limit where no average acceleration takes place. Thi ...
is one of the popular techniques of solving the
Langevin equation In physics, a Langevin equation (named after Paul Langevin) is a stochastic differential equation describing how a system evolves when subjected to a combination of deterministic and fluctuating ("random") forces. The dependent variables in a Lange ...
, but the hydrodynamic interaction in
Brownian dynamics Brownian dynamics (BD) can be used to describe the motion of molecules for example in molecular simulations or in reality. It is a simplified version of Langevin dynamics and corresponds to the limit where no average acceleration takes place. Thi ...
is highly simplified and normally includes only the isolated body resistance. On the other hand, Stokesian dynamics includes the many body hydrodynamic interactions. Hydrodynamic interaction is very important for non-equilibrium suspensions, like a sheared
suspension Suspension or suspended may refer to: Science and engineering * Suspension (topology), in mathematics * Suspension (dynamical systems), in mathematics * Suspension of a ring, in mathematics * Suspension (chemistry), small solid particles suspend ...
, where it plays a vital role in its microstructure and hence its properties. Stokesian dynamics is used primarily for non-equilibrium suspensions where it has been shown to provide results which agree with experiments.


Hydrodynamic interaction

When the motion on the particle scale is such that the particle Reynolds number is small, the hydrodynamic force exerted on the particles in a suspension undergoing a bulk linear shear flow is: :\mathbf^\mathrm = -\mathbf_\mathrm(\mathbf-\mathbf^) + \mathbf^\mathrm:\mathbf^. Here, \mathbf^ is the velocity of the bulk shear flow evaluated at the particle center, \mathbf^ is the symmetric part of the velocity-gradient tensor; \mathbf_\mathrm and \mathbf_\mathrm are the configuration-dependent resistance matrices that give the hydrodynamic force/torque on the particles due to their motion relative to the fluid (\mathbf_\mathrm) and due to the imposed shear flow (\mathbf_\mathrm). Note that the subscripts on the matrices indicate the coupling between kinematic (\mathbf) and dynamic (\mathbf) quantities. One of the key features of Stokesian dynamics is its handing of the hydrodynamic interactions, which is fairly accurate without being computationally inhibitive (like boundary integral methods) for a large number of particles. Classical Stokesian dynamics requires O(N^) operations where ''N'' is the number of particles in the system (usually a periodic box). Recent advances have reduced the computational cost to about O(N^ \, \log N).


Brownian force

The stochastic or Brownian force \mathbf^\mathrm arises from the thermal fluctuations in the fluid and is characterized by: : \left\langle\mathbf^\mathrm\right\rangle = 0 : \left\langle\mathbf^\mathrm(0)\mathbf^\mathrm(t)\right\rangle = 2kT\mathbf_\mathrm\delta(t) The angle brackets denote an ensemble average, k is the Boltzmann constant, T is the absolute temperature and \delta(t) is the delta function. The amplitude of the correlation between the Brownian forces at time 0 and at time t results from the fluctuation-dissipation theorem for the N-body system.


See also

*
Immersed boundary method In computational fluid dynamics, the immersed boundary method originally referred to an approach developed by Charles Peskin in 1972 to simulate fluid-structure (fiber) interactions. Treating the coupling of the structure deformations and the flui ...
*
Stochastic Eulerian Lagrangian method In computational fluid dynamics, the Stochastic Eulerian Lagrangian Method (SELM) is an approach to capture essential features of fluid-structure interactions subject to thermal fluctuations while introducing approximations which facilitate analysi ...


References

{{reflist Statistical mechanics Equations Fluid mechanics