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  2. Turbulence kinetic energy - Wikipedia

    en.wikipedia.org/wiki/Turbulence_kinetic_energy

    Because DNS simulations are exorbitantly expensive due to memory, computational and storage overheads, turbulence models are used to simulate the effects of turbulence. A variety of models are used, but generally TKE is a fundamental flow property which must be calculated in order for fluid turbulence to be modelled.

  3. Turbulence - Wikipedia

    en.wikipedia.org/wiki/Turbulence

    This is an important area of research in this field, and a major goal of the modern theory of turbulence is to understand what is universal in the inertial range, and how to deduce intermittency properties from the Navier-Stokes equations, i.e. from first principles.

  4. 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.

  5. Turbulence modeling - Wikipedia

    en.wikipedia.org/wiki/Turbulence_modeling

    In fluid dynamics, turbulence modeling is the construction and use of a mathematical model to predict the effects of turbulence. Turbulent flows are commonplace in most real-life scenarios. Turbulent flows are commonplace in most real-life scenarios.

  6. K-epsilon turbulence model - Wikipedia

    en.wikipedia.org/wiki/K-epsilon_turbulence_model

    Unlike earlier turbulence models, k-ε model focuses on the mechanisms that affect the turbulent kinetic energy. The mixing length model lacks this kind of generality. [2] The underlying assumption of this model is that the turbulent viscosity is isotropic, in other words, the ratio between Reynolds stress and mean rate of deformations is the same in all directions.

  7. Large eddy simulation - Wikipedia

    en.wikipedia.org/wiki/Large_eddy_simulation

    Large eddy simulation of a turbulent gas velocity field.. Large eddy simulation (LES) is a mathematical model for turbulence used in computational fluid dynamics.It was initially proposed in 1963 by Joseph Smagorinsky to simulate atmospheric air currents, [1] and first explored by Deardorff (1970). [2]

  8. Schmidt number - Wikipedia

    en.wikipedia.org/wiki/Schmidt_number

    The turbulent Schmidt number is commonly used in turbulence research and is defined as: [3] = where: is the eddy viscosity in units of (m 2 /s); is the eddy diffusivity (m 2 /s).; The turbulent Schmidt number describes the ratio between the rates of turbulent transport of momentum and the turbulent transport of mass (or any passive scalar).

  9. k–omega turbulence model - Wikipedia

    en.wikipedia.org/wiki/K–omega_turbulence_model

    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).