Results 51 to 60 of about 3,071,655 (192)
Engineering Applications of Computational Fluid Mechanics, 2018 The Reynolds-averaged Navier–Stokes equations with one-equation turbulence models are used to simulate the flow field past a cone–flare geometry in the Mach number range from 5 to 8 with emphasis on the interaction region of the flare shock with the ...
Amjad Ali Pasha, K. A. Juhany, M. Khalid
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Numerical Analysis of the Kline and Fogleman Airfoil's Effect on the Operation of Straight Darrieus Wind Turbine [PDF]
Journal of Applied Fluid MechanicsThe blade profile selection is paramount for the efficient operation of straight Darrieus wind turbines in terms of torque and power generation. In this work, we have used the Kline-Fogleman Airfoil (KFA) design for the wind turbine blades.
H. Iddou +3 more
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Large-eddy simulation of the flow in Z-Shape duct
Cogent Engineering, 2020 A numerical study is conducted of the transient flow in a z-shape three-dimensional duct using large-eddy simulation (LES) with dynamic eddy viscosity subgrid-scale (SGS) model with a fully structured grid system.
Mohammed Karbon, Ahmad K. Sleiti
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Turbulence program for propulsion systems [PDF]
, 1995 Program goals at the Center for Modeling of Turbulence and Transition (CMOTT), NASA Lewis Research Center, are (1) to develop reliable turbulence (including bypass transition) and combustion models for complex flows in propulsion systems and (2) to ...
Shih, Tsan-Hsing
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Modeling of magnetohydrodynamic turbulence
, 2000 Conventional one-point turbulence closures have beenextended with an additional transported scalar for modeling ofmagnetohydrodynamic (MHD) turbulence. The new scalar, α ,captures the length scale anisotropy and tendency towardstwo-dimensionality, which ...
Widlund, Ola
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Turbulence closure modeling with machine learning: a foundational physics perspective
New Journal of PhysicsTurbulence closure modeling using machine learning (ML) is at an early crossroads. The extraordinary success of ML in a variety of challenging fields had given rise to an expectation of similar transformative advances in the area of turbulence closure ...
Sharath S Girimaji
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Bubble characteristics and turbulent dissipation rate in horizontal bubbly pipe flow
AIP Advances, 2021 The energy dissipation rate is a crucial parameter for system control and turbulence modeling but is difficult to quantify in gas–liquid two-phase flows. Little relevant information is available, especially in horizontal pipe flows.
Weiyang Zhao +4 more
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Workshop on Computational Turbulence Modeling [PDF]
, 1993 This document contains presentations given at Workshop on Computational Turbulence Modeling held 15-16 Sep. 1993. The purpose of the meeting was to discuss the current status and future development of turbulence modeling in computational fluid dynamics ...
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Machine Learning: Science and TechnologyIn recent years, the synergy between artificial intelligence and turbulence big data has given rise to a new data-driven paradigm in turbulence research.
Xuxiang Sun +6 more
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Experimental Channel Modeling of Free-Space Optical Communications Under Atmospheric Turbulence
IEEE Open Journal of the Communications SocietyThis paper investigates the statistical modeling of atmospheric turbulence-induced fading in free space optical (FSO) communication systems via using a 400-m round-trip retro-reflected urban FSO testbed. Especially, we compare the theoretical FSO channel
Tae-In Oh, Byungju Lim, Young-Chai Ko
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