The time evolution equation of Reynolds stress was first given by Eq.(1.6) in
Zhou Peiyuan's paper. The equation in modern form is \underbrace{\frac{\partial \overline{u_i^\prime u_j^\prime}}{\partial t}}_{\rm storage} +\!\! \underbrace{\bar{u}_k \frac{\partial \overline{u_i^\prime u_j^\prime}}{\partial x_k}}_{\rm mean~advection} = -\ \underbrace{\overline{u_i^\prime u_k^\prime}\frac{\partial \bar{u}_j}{\partial x_k} - \overline{u_j^\prime u_k^\prime}\frac{\partial \bar{u}_i}{\partial x_k}}_{\rm shear~production} + \underbrace{\overline{ \frac{p^\prime}{\rho}\left( \frac{\partial u_i^\prime}{\partial x_j} +\frac{\partial u_j^\prime}{\partial x_i} \right) }}_{\rm pressure-scrambling} - \underbrace{\frac{\partial }{\partial x_k} \left( \overline{u_i^\prime u_j^\prime u_k^\prime} + \frac{\overline{p^\prime u_i^\prime } }{\rho} \delta_{jk} + \frac{\overline{p^\prime u_j^\prime } }{\rho} \delta_{ik} - \nu \frac{\partial \overline{u_i^\prime u_j^\prime}}{\partial x_k} \right)}_{\rm transport~terms} -2 \nu \overline{\frac{\partial u_i^\prime}{\partial x_k} \frac{\partial u_j^\prime}{\partial x_k}}, where \nu is the
kinematic viscosity, and the last term \nu \overline{\tfrac{\partial u_i^\prime}{\partial x_k} \tfrac{\partial u_j^\prime}{\partial x_k}} is turbulent dissipation rate. This equation is very complex. If \overline{u_i^\prime u_j^\prime} is traced,
turbulence kinetic energy is obtained. The pressure-scrambling term is so called because this term (also called the pressure-strain covariance) is traceless under the assumption of incompressibility, meaning it cannot create or destroy turbulence kinetic energy but can only mix it between the three components of velocity. Depending on the application, this equation can also include buoyant production terms (proportional to the gravitational acceleration g) and Coriolis production terms (proportional to the Earth's rotation rate); these would be present in atmospheric applications, for example. The question then is, what is the value of the Reynolds stress? This has been the subject of intense modeling and interest, for roughly the past century. The problem is recognized as a
closure problem, akin to the problem of closure in the
BBGKY hierarchy. A transport equation for the Reynolds stress may be found by taking the
outer product of the fluid equations for the fluctuating velocity, with itself. One finds that the transport equation for the Reynolds stress includes terms with higher-order correlations (specifically, the triple correlation \overline{v'_i v'_j v'_k} ) as well as correlations with pressure fluctuations (i.e. momentum carried by sound waves). A common solution is to model these terms by simple
ad hoc prescriptions. The theory of the Reynolds stress is quite analogous to the
kinetic theory of gases, and indeed the stress tensor in a fluid at a point may be seen to be the ensemble average of the stress due to the thermal velocities of molecules at a given point in a fluid. Thus, by analogy, the Reynolds stress is sometimes thought of as consisting of an isotropic pressure part, termed the turbulent pressure, and an off-diagonal part which may be thought of as an effective turbulent viscosity. In fact, while much effort has been expended in developing good models for the Reynolds stress in a fluid, as a practical matter, when solving the fluid equations using
computational fluid dynamics, often the simplest turbulence models prove the most effective. One class of models, closely related to the concept of turbulent viscosity, are the
k-epsilon turbulence models, based upon coupled transport equations for the turbulent energy density k (similar to the turbulent pressure, i.e. the trace of the Reynolds stress) and the turbulent dissipation rate \epsilon . Typically, the average is formally defined as an ensemble average as in
statistical ensemble theory. However, as a practical matter, the average may also be thought of as a spatial average over some
length scale, or a temporal average. Note that, while formally the connection between such averages is justified in
equilibrium statistical mechanics by the
ergodic theorem, the statistical mechanics of hydrodynamic turbulence is currently far from understood. In fact, the Reynolds stress at any given point in a turbulent fluid is somewhat subject to interpretation, depending upon how one defines the average. == References ==