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Turbulox

Documentation for Turbulox.

Turbulox.apply! — Method

Apply kernel! on grid, args... over the entire domain. The args are typically input and output fields. The kernel should be of the form

using KernelAbstractions
@kernel function kernel!(grid, args...)
    # content
end
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Turbulox.get_scale_numbers — Method

Get the following dimensional scale numbers [2]:

  • Velocity $u_\text{avg} = \langle u_i u_i \rangle^{1/2}$
  • Dissipation rate $\epsilon = 2 \nu \langle S_{ij} S_{ij} \rangle$
  • Kolmolgorov length scale $\eta = (\frac{\nu^3}{\epsilon})^{1/4}$
  • Taylor length scale $\lambda = (\frac{5 \nu}{\epsilon})^{1/2} u_\text{avg}$
  • Taylor-scale Reynolds number $Re_\lambda = \frac{\lambda u_\text{avg}}{\sqrt{3} \nu}$
  • Integral length scale $L = \frac{3 \pi}{2 u_\text{avg}^2} \int_0^\infty \frac{E(k)}{k} \, \mathrm{d} k$
  • Large-eddy turnover time $\tau = \frac{L}{u_\text{avg}}$
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Turbulox.tensordivergence! — Method

Divergence of staggered tensor field $σ$. Subtract result from existing force field $f$. The operation is $f_i \leftarrow f_i - ∂_j σ_{i j}$.

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Turbulox.tensordivergence_collocated! — Method

Divergence of collocated tensor field $\sigma$. First interpolate to staggered points. Subtract result from existing force field $f$. The operation is $f_i \leftarrow f_i - ∂_j σ_{i j}$.

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