On the modeling of low-Reynolds-number turbulence
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On the modeling of low-Reynolds-number turbulence

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Published by National Aeronautics and Space Administration, Scientific and Technical Information Branch, For sale by the National Technical Information Service] in [Washington, DC], [Springfield, Va .
Written in English


  • Reynolds number.,
  • Turbulence.

Book details:

Edition Notes

Other titlesOn the modeling of low Reynolds number turbulence.
StatementRonald M.C. So and G.J. yoo.
SeriesNASA contractor report -- 3994., NASA contractor report -- NASA CR-3994.
ContributionsYoo, G. J., United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch.
The Physical Object
Pagination1 v.
ID Numbers
Open LibraryOL18029516M

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The present one-equation turbulence model for simulation of the wall turbulence region at low Reynolds numbers is applied to equilibrium boundary layers in which a universal mixing length distribution can be assumed, as indicated by the experimental results of East and Sawyer (). Attention is given to the accurate representation of the turbulence-energy balance in the viscous and buffer Author: P. Orlandi. RANS analysis of the low-Reynolds number flow around the SD airfoil Aerospace Science and Technology, Vol. 15, No. 8 Validation of a low-cost transitional turbulence model for low-Reynolds-number external aerodynamicsCited by: Catalano and Tognaccini in a recent paper [5] have proposed a modification of the κ-ω SST turbulence model aimed at improving the performances of the model for low Reynolds number flows. This. Low Reynolds number turbulence modeling of blood flow in arterial stenoses Low Reynolds number turbulence modeling of blood flow in arterial stenoses Farzan Ghalichi ; Farzan Ghalichi ; Xiaoyan Deng ; Alain De Champlain ; Yvan Douville ; Martin King ; Robert Guidoin Moderate and severe arterial stenoses can produce highly disturbed ï¬ ow regions with transitional and or.

A one-equation turbulence model for recirculating flows 30 March | Science China Physics, Mechanics & Astronomy, Vol. 59, No. 6 Velocity–vorticity RANS turbulence modeling by .   A Low Reynolds number model is a turbulence model that integrates through the viscous sub-layer down to the wall (i.e. the locally low Reynolds number region of the flow). It is still only applicable to high Reynolds number flows where the flow is fully turbulent. It is not a model for solving flows with low global Reynolds number. MEB/3/GI 10 Turbulence modeling Define the Reynolds stresses in terms on known (averaged) quantities 1) Boussinesq hypothesis - simple relationship between Reynolds stresses and velocity gradients through the eddy viscosity (similar to molecular viscosity). These are the most popular of the high Reynolds number and low Reynolds number turbulence models, respectively. The BSL and SST models are then introduced, both are derived by combining the k − ε and k − ω models so as to address their respective weaknesses. Finally the treatment of the near wall region is presented in detail.

turbulence models, though perhaps incorrectly. It is now understood that the decay exponent is closely related to the low wavenumber portion of the 3D energy spectrum [7]. For isotropic turbulence in which the low wavenumber 55 portion of the spectrum goes as k2 (where k is the wavenumber) the low Reynolds number.   turbulent model low reynolds number Posted , AM PST Computational Fluid Dynamics (CFD) Version a, Version 1 Reply Nedjar Mouloud.   There are quite a few studies investigating low Reynolds number turbulence models for predicting the near-wall flow over smooth walls. However, analogous work over rough walls is sparse despite the fact that many flows of practical interest, particularly in geophysical flows and hydraulic engineering, are over rough walls.   Fig 12 shows that γ-Re θ SST turbulence model is a good choice to model the flow behavior for low Reynolds number in this case. The C p plots shows the pressure distribution at 6° and 18° AoA. Results of γ -Re θ SST are comparable with the experimental study Karthikeyan et al. [ 6 ].