Math 2.0

Fluid mechanics Definition

K-epsilon turbulence model

Builds on Reynolds-averaged Navier–Stokes equationsBoussinesq eddy viscosity hypothesisReynolds stressReynolds decomposition

Definition

Consider an incompressible turbulent flow with kinematic viscosity ν\nu, mean velocity uˉi\bar u_i and fluctuations ui′u_i' from the Reynolds decomposition. Let k=12ui′ui′‾k = \frac12 \overline{u_i' u_i'} be the turbulent kinetic energy and ε=ν (∂ui′/∂xj)(∂ui′/∂xj)‾\varepsilon = \nu \, \overline{(\partial u_i' / \partial x_j)(\partial u_i' / \partial x_j)} its dissipation rate. The standard kk–ε\varepsilon model closes the Reynolds-averaged Navier–Stokes equations as follows.

  1. The Reynolds stress is given by the Boussinesq eddy viscosity hypothesis with eddy viscosity νt=Cμk2/ε\nu_t = C_\mu k^2 / \varepsilon.
  2. The field kk satisfies ∂k∂t+uˉj∂k∂xj=∂∂xj[(ν+νtσk)∂k∂xj]+Pk−ε.\frac{\partial k}{\partial t} + \bar u_j \frac{\partial k}{\partial x_j} = \frac{\partial}{\partial x_j} \left[ \left( \nu + \frac{\nu_t}{\sigma_k} \right) \frac{\partial k}{\partial x_j} \right] + P_k - \varepsilon.
  3. The field ε\varepsilon satisfies ∂ε∂t+uˉj∂ε∂xj=∂∂xj[(ν+νtσε)∂ε∂xj]+C1εεkPk−C2εε2k.\frac{\partial \varepsilon}{\partial t} + \bar u_j \frac{\partial \varepsilon}{\partial x_j} = \frac{\partial}{\partial x_j} \left[ \left( \nu + \frac{\nu_t}{\sigma_\varepsilon} \right) \frac{\partial \varepsilon}{\partial x_j} \right] + C_{1\varepsilon} \frac{\varepsilon}{k} P_k - C_{2\varepsilon} \frac{\varepsilon^2}{k}.

Here Pk=−ui′uj′‾ ∂uˉi/∂xjP_k = -\overline{u_i' u_j'} \, \partial \bar u_i / \partial x_j is the production of turbulent kinetic energy, and CμC_\mu, σk\sigma_k, σε\sigma_\varepsilon, C1εC_{1\varepsilon}, C2εC_{2\varepsilon} are positive constants.

Remarks

The usual values, due to Launder and Spalding, are Cμ=0.09C_\mu = 0.09, σk=1.0\sigma_k = 1.0, σε=1.3\sigma_\varepsilon = 1.3, C1ε=1.44C_{1\varepsilon} = 1.44 and C2ε=1.92C_{2\varepsilon} = 1.92. The kk equation is a modelled form of the exact transport equation for kk, while the ε\varepsilon equation is largely empirical. Near walls the model needs wall functions or low-Reynolds-number modifications.

Example: in decaying homogeneous isotropic turbulence, uˉ=0\bar u = 0 and Pk=0P_k = 0, so the model reduces to k′=−εk' = -\varepsilon, ε′=−C2εε2/k\varepsilon' = -C_{2\varepsilon} \varepsilon^2 / k. These have the solutions k∝t−nk \propto t^{-n} with n=1/(C2ε−1)≈1.09n = 1 / (C_{2\varepsilon} - 1) \approx 1.09, a decay rate in the range seen in grid turbulence experiments. Non-example: a mixing-length model prescribes νt\nu_t by an algebraic formula. It has no transport equations for kk and ε\varepsilon, so it is a zero-equation model, not a kk–ε\varepsilon model.

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  1. Boussinesq eddy viscosity hypothesis concept
  2. Reynolds decomposition concept
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  4. Reynolds-averaged Navier–Stokes equations concept
  5. K-epsilon turbulence model definition

Further reading

  1. Web https://en.wikipedia.org/wiki/K-epsilon_turbulence_model
About this page
TagPTYDXT3MJV
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Kinddefinition
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MSC76F60, 76F55
DefinesK-epsilon turbulence model
UsesReynolds-averaged Navier–Stokes equations, Boussinesq eddy viscosity hypothesis, Reynolds stress, Reynolds decomposition
Changed3 November 2026

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