Results 41 to 50 of about 208,604 (196)
Supersonic Combustion Modeling and Simulation on General Platforms
Aerospace, 2022 Supersonic combustion is an advanced technology for the next generation of aerospace vehicles. In the last two decades, numerical simulation has been widely used for the investigation on supersonic combustion.
Shizhuo Huang +4 more
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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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Energies, 2017 The unsteady and random character of turbulent flow motion is a key aspect of the multidimensional modeling of internal combustion engines (ICEs). A typical example can be found in the prediction of the cycle-to-cycle variability (CCV) in modern, highly ...
Vesselin Krassimirov Krastev +2 more
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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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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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Advanced in turbulence physics and modeling by direct numerical simulations [PDF]
The advent of direct numerical simulations of turbulence has opened avenues for research on turbulence physics and turbulence modeling. Direct numerical simulation provides values for anything that the scientist or modeler would like to know about the ...
Reynolds, W. C.
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Turbulence modeling for high speed compressible flows [PDF]
Turbulence models are necessary in numerical simulations because of the impracticality of computing all scales of turbulent motion. Approximate methods, or turbulence models, are introduced to simplify and make the computations practical.
Chandra, Suresh
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Double time-relaxation kinetic model for compressible turbulence modeling
Advances in AerodynamicsIn this paper, a double time-relaxation kinetic model (DtrKM) is proposed for compressible turbulence modeling on unresolved grids. Within the double time-relaxation framework, DtrKM is extended in the form of generalized Bhatnagar-Gross-Krook model ...
Guiyu Cao, Liang Pan, Kun Xu, Shiyi Chen
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