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Eddy viscosity is a model viscosity. It is used to account for the effects lost in averaging the turbulent effects in a CFD simulation. More specifically, it models the transport and dissipation of energy that was neglected as a result of turbulence modeling. These turbulence models are abstract fundamental equations that predict the mathematical development of turbulent flows \(^1\).
Eddy viscosity is the proportionality factor describing the turbulent transfer of energy as a result of moving eddies, giving rise to tangential stresses.\(^2\)
It is also referred to as turbulent viscosity and doesn’t have any physical existence.
One can, thus, express the effective viscosity of the fluid flow as:
$$ \nu_{eff} = \nu +\nu_{t} \tag{1}$$
where,
Hence, it wouldn’t be inaccurate to say that the difference between different turbulence models is the difference in calculating turbulent viscosity.
In Computational Fluid Dynamics, turbulence models where eddies of all scales are completely modeled, for e.g. RANS (Reynolds Averaged Navier Stokes) models like \(k-\epsilon\) and \(k-\omega\ SST\), use the term eddy viscosity. For turbulence models that use sub-grid scaling to resolve the larger eddies but model the smaller ones, for e.g. LES models like Smagorinsky and Spalart Allmaras, use the term sub-grid scale viscosity.
Hence, for sub-grid scale models equation (1) becomes
$$ \nu_{eff} = \nu +\nu_{sgs} \tag{2}$$
Where,
\(\nu_{sgs}\) = Sub-grid scale kinematic viscosity.
SimScale allows its users to define dynamic turbulent viscosity \((\mu_{t}\)) or \((\mu_{sgs}\)) in units of \([\frac{kg}{ms}]\) as an initial condition and also as part of custom boundary condition.
Since,
$$\nu = \frac{\mu}{ \rho}\tag{3}$$
the value for \(\nu_{t}\) or \(\nu_{sgs}\) is automatically calculated.
References
Last updated: February 13th, 2023
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