In computational fluid dynamics, the k–omega (k–ω) turbulence model is a common two-equation turbulence model, that is used as an approximation for the Reynolds-averaged Navier–Stokes equations (RANS equations). The model attempts to predict turbulence by two partial differential equations for two variables, k and ω, with the first variable being the turbulence kinetic energy (k) while the second (ω) is the specific rate of dissipation (of the turbulence kinetic energy k into internal thermal energy).
The eddy viscosity νT, as needed in the RANS equations, is given by:, while the evolution of k and ω is modelled as:
\begin{align} &
\partial(\rhok) | |
\partialt |
+
\partial(\rhoujk) | |
\partialxj |
=\rhoP-\beta*\rho\omegak+
\partial | |
\partialxj |
\left[\left(\mu+\sigmak
\rhok | \right) | |
\omega |
\partialk | |
\partialxj |
\right], withP=\tauij
\partialui | |
\partialxj |
,\\ &\displaystyle
\partial(\rho\omega) | |
\partialt |
+
\partial(\rhouj\omega) | |
\partialxj |
=
\alpha\omega | |
k |
\rhoP-\beta\rho\omega2+
\partial | |
\partialxj |
\left[\left(\mu+\sigma\omega
\rhok | |
\omega |
\right)
\partial\omega | |
\partialxj |
\right]+
\rho\sigmad | |
\omega |
\partialk | |
\partialxj |
\partial\omega | |
\partialxj |
. \end{align}
For recommendations for the values of the different parameters, see .