Results 61 to 70 of about 208,604 (196)

Beam Propagation Through Atmospheric Turbulence Using an Altitude-Dependent Structure Profile with Non-Uniformly Distributed Phase Screens [PDF]

open access: yes
For free-space optical communication systems, numerical wave optics simulations provide a useful technique for modeling turbulence-induced beam degradation when the analytical theory is insufficient for characterizing the atmospheric channel.
Chahine, Yousef K.   +3 more
core   +1 more source

Minimalist turbulent boundary layer model [PDF]

open access: yesPhysical Review E, 2009
We introduce an elementary model of a turbulent boundary layer over a flat surface, given as a vertical random distribution of spanwise Lamb-Oseen vortex configurations placed over a non-slip boundary condition line. We are able to reproduce several important features of realistic flows, such as the viscous and logarithmic boundary sublayers, and the ...
openaire   +3 more sources

First and Second Order Turbulence Closures Applied to Homogeneous Turbulent Bubbly Flows

open access: yesJournal of Applied Fluid Mechanics, 2019
First and second turbulence models for turbulent bubbly flows are implemented in the CFD code. In the second order turbulence closure, the Reynolds stress tensor of the continuous phase is split into two parts: a turbulent part produced by the gradient ...
F. Chaibina, G. Bellakhal, J. Chahed
doaj  

Effect of Liquid Droplets on Turbulence Structure in a Round Gaseous Jet [PDF]

open access: yes, 1983
A second-order model which predicts the modulation of turbulence in jets laden with uniform size solid particles or liquid droplets is discussed. The approach followed is to start from the separate momentum and continuity equations of each phase and ...
Elghobashi, S. E., Mostafa, A. M.
core   +2 more sources

Effect of network architecture on physics-informed deep learning of the Reynolds-averaged turbulent flow field around cylinders without training data

open access: yesFrontiers in Physics
Unsupervised physics-informed deep learning can be used to solve computational physics problems by training neural networks to satisfy the underlying equations and boundary conditions without labeled data.
Jan Hauke Harmening   +3 more
doaj   +1 more source

Self-organization and nonlocal nature of geophysical turbulence and planetary boundary layers

open access: yesГеофизический журнал, 2010
The classical paradigm of the theory of turbulence states that any turbulent flow can be considered as a superposition of the fully organized mean motion and the fully chaotic turbulence is characterized by the direct energy cascade (from larger to ...
S. S. Zilitinkevich
doaj   +1 more source

Statistical turbulence theory and turbulence phenomenology [PDF]

open access: yes
The application of deductive turbulence theory for validity determination of turbulence phenomenology at the level of second-order, single-point moments is considered. Particular emphasis is placed on the phenomenological formula relating the dissipation
Herring, J. R.
core   +1 more source

Aerodynamic Performance and Numerical Validation Study of a Scaled-Down and Full-Scale Wind Turbine Models

open access: yesEnergies
Understanding the aerodynamic performance of scaled-down models is vital for providing crucial insights into wind energy optimization. In this study, the aerodynamic performance of a scaled-down model (12%) was investigated.
Zahid Mehmood   +3 more
doaj   +1 more source

Turbulence Modeling of Torsional Couette Flows

open access: yesInternational Journal of Rotating Machinery, 2008
The present study considers the numerical modeling of the turbulent flow inside a rotor-stator cavity subjected or not to a superimposed throughflow.
Sofia Haddadi, Sébastien Poncet
doaj   +1 more source

Turbulence spectra in the noise source regions of the flow around complex surfaces [PDF]

open access: yes
The complex turbulent flow around three complex surfaces was measured in detail with a hot wire. The measured data include extensive spatial surveys of the mean velocity and turbulence intensity and measurements of the turbulence spectra and scale length
Boldman, D. R., Olsen, W. A.
core   +1 more source

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