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  2. Energy cascade - Wikipedia

    en.wikipedia.org/wiki/Energy_cascade

    The dynamics at these scales is described by use of self-similarity, or by assumptions – for turbulence closure – on the statistical properties of the flow in the inertial subrange. A pioneering work was the deduction by Andrey Kolmogorov in the 1940s of the expected wavenumber spectrum in the turbulence inertial subrange.

  3. Kolmogorov microscales - Wikipedia

    en.wikipedia.org/wiki/Kolmogorov_microscales

    where ε is the average rate of dissipation of turbulence kinetic energy per unit mass, and; ν is the kinematic viscosity of the fluid.; Typical values of the Kolmogorov length scale, for atmospheric motion in which the large eddies have length scales on the order of kilometers, range from 0.1 to 10 millimeters; for smaller flows such as in laboratory systems, η may be much smaller.

  4. Turbulence - Wikipedia

    en.wikipedia.org/wiki/Turbulence

    Thus the "Kolmogorov − ⁠ 5 / 3 ⁠ spectrum" is generally observed in turbulence. However, for high order structure functions, the difference with the Kolmogorov scaling is significant, and the breakdown of the statistical self-similarity is clear.

  5. Turbulence kinetic energy - Wikipedia

    en.wikipedia.org/wiki/Turbulence_kinetic_energy

    Turbulence kinetic energy is then transferred down the turbulence energy cascade, and is dissipated by viscous forces at the Kolmogorov scale. This process of production, transport and dissipation can be expressed as: D k D t + ∇ ⋅ T ′ = P − ε , {\displaystyle {\frac {Dk}{Dt}}+\nabla \cdot T'=P-\varepsilon ,} where: [ 1 ]

  6. Direct numerical simulation - Wikipedia

    en.wikipedia.org/wiki/Direct_numerical_simulation

    Also, direct numerical simulations are useful in the development of turbulence models for practical applications, such as sub-grid scale models for large eddy simulation (LES) and models for methods that solve the Reynolds-averaged Navier–Stokes equations (RANS). This is done by means of "a priori" tests, in which the input data for the model ...

  7. Astronomical seeing - Wikipedia

    en.wikipedia.org/wiki/Astronomical_seeing

    The Kolmogorov model of turbulence ... where I(k) is a two-dimensional array which represents the spectrum of intermittency, with the same dimensions as R(k), ...

  8. Taylor microscale - Wikipedia

    en.wikipedia.org/wiki/Taylor_microscale

    In fluid dynamics, the Taylor microscale, which is sometimes called the turbulence length scale, is a length scale used to characterize a turbulent fluid flow. [1] This microscale is named after Geoffrey Ingram Taylor .

  9. Quantum turbulence - Wikipedia

    en.wikipedia.org/wiki/Quantum_turbulence

    Kolmogorov turbulence arises in quantum fluids for energy input at large length scales, where the energy spectrum follows / in the inertial range < <. For length scales smaller than ℓ {\displaystyle \ell } , instead the energy spectrum follows a k − 1 {\displaystyle k^{-1}} regime.