The SSG-LRR model belongs to RANS-RSM type of turbulence models and, hence, does not assume a particular form of
(the kinematic Reynolds stress tensor). It solves the transport equation for R instead, complemented by the transport equation for the turbulence specific dissipation rate
ω, which allows to capture the evolution of turbulence structure properly
Ref. 33. This leads to more accurate prediction of separation, transient phenomena, effects of swirl and curvature. Moreover, correct description of secondary flows is achieved, which eddy-viscosity based models are intrinsically incapable of.
The set of SSG-LRR model parameters with their default values is
Similar to The SST Turbulence Model the model parameters are blended between
ω-based and
ε-based approaches as
where lw is the distance to the closest wall.
The turbulent diffusion D is modeled as a “simple diffusion”and turbulent dissipation
εij of
R is modeled as isotropic
The wall distance variable, lw, is provided by a mathematical Wall Distance interface that is included when using the SSG-LRR
model. The solution to the wall distance equation is controlled using the parameter
lref. The distance to objects larger than
lref is represented accurately, while objects smaller than
lref are effectively diminished by appearing to be farther away than they actually are. This is a desirable feature in turbulence modeling since small objects would get too large an impact on the solution if the wall distance were measured exactly.
To avoid the singularity at the wall, ω is not solved for in the cells adjacent to a solid wall. Instead, its value is prescribed by
Equation 3-195 (using the variable
ωw, which only exists in those cells). Accurate solutions in the near-wall region require that the wall resolution in viscous units
and is available as the postprocessing variable
(u_tauWall). Also, the boundary variable
Distance to cell center in viscous units,

(
lplus_cc), is available to ensure that the mesh is fine enough.

is the distance, measured in viscous units, from the wall to the center of the wall adjacent cell, thus

and according to
Equation 3-196 
should be about
0.5. Observe that very small values of

can reduce the convergence rate. Also notice that it is unlikely that a solution is obtained at all if
Since the ωw variable requires the wall distance, a wall distance equation must be solved prior to solving the SSG-LRR model.
The guidelines given in Inlet Values for the Turbulence Length Scale and Turbulent Intensity for selecting the turbulence length scale,
LT, and the turbulence intensity,
IT, apply also to the SSG-LRR model.
The SSG-LRR model essentially has the same default initial guess as the SST model, but for the Reynolds stress tensor instead of
k:
The Wilcox R-
ω model applies absolute scales of the same type as the SST model, namely