Recent Results Obtained in the Modeling of Turbulent Flows by Second-Order Closure PDF Download
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Author: Tuido Sandri
Publisher:
ISBN:
Category :
Languages : en
Pages : 9
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Book Description
An approximate solution for the tensor scale equation reported previously has been obtained. The solution agrees with both numerical and laboratory experiments for parallel flows. Furthermore, substantial progress has been made towards rational closure of the equations for turbulence mixing and turbulence chemistry.
Author: Tuido Sandri
Publisher:
ISBN:
Category :
Languages : en
Pages : 9
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Book Description
An approximate solution for the tensor scale equation reported previously has been obtained. The solution agrees with both numerical and laboratory experiments for parallel flows. Furthermore, substantial progress has been made towards rational closure of the equations for turbulence mixing and turbulence chemistry.
Author: Brian Edward Launder
Publisher: Cambridge University Press
ISBN: 9780521792080
Category : Mathematics
Languages : en
Pages : 774
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Book Description
Publisher Description
Author: Charles G. Speziale
Publisher:
ISBN:
Category :
Languages : en
Pages : 32
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Book Description
Author: Ching Jen Chen
Publisher: CRC Press
ISBN: 9781560324058
Category : Technology & Engineering
Languages : en
Pages : 312
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Book Description
Focuses on the second-order turbulence-closure model and its applications to engineering problems. Topics include turbulent motion and the averaging process, near-wall turbulence, applications of turbulence models, and turbulent buoyant flows.
Author: Charles G. Speziale
Publisher:
ISBN:
Category :
Languages : en
Pages : 52
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Book Description
Author: T. B. Gatski
Publisher: Oxford University Press, USA
ISBN: 0195106431
Category : Fluid dynamics
Languages : en
Pages : 329
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Book Description
This book provides students and researchers in fluid engineering with an up-to-date overview of turbulent flow research in the areas of simulation and modeling. A key element of the book is the systematic, rational development of turbulence closure models and related aspects of modern turbulent flow theory and prediction. Starting with a review of the spectral dynamics of homogenous and inhomogeneous turbulent flows, succeeding chapters deal with numerical simulation techniques, renormalization group methods and turbulent closure modeling. Each chapter is authored by recognized leaders in their respective fields, and each provides a thorough and cohesive treatment of the subject.
Author: Institute for Computer Applications in Science and Engineering
Publisher:
ISBN:
Category :
Languages : en
Pages : 56
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Book Description
Author: Mohammad Farshchi
Publisher:
ISBN:
Category :
Languages : en
Pages : 340
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Book Description
Author: Tsan-Hsing Shih
Publisher:
ISBN:
Category : Turbulence
Languages : en
Pages : 68
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Book Description
Author: Stefan Heinz
Publisher: Springer Science & Business Media
ISBN: 3662100223
Category : Science
Languages : en
Pages : 232
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Book Description
The simulation of technological and environmental flows is very important for many industrial developments. A major challenge related to their modeling is to involve the characteristic turbulence that appears in most of these flows. The traditional way to tackle this question is to use deterministic equations where the effects of turbulence are directly parametrized, i. e. , assumed as functions of the variables considered. However, this approach often becomes problematic, in particular if reacting flows have to be simulated. In many cases, it turns out that appropriate approximations for the closure of deterministic equations are simply unavailable. The alternative to the traditional way of modeling turbulence is to construct stochastic models which explain the random nature of turbulence. The application of such models is very attractive: one can overcome the closure problems that are inherent to deterministic methods on the basis of relatively simple and physically consistent models. Thus, from a general point of view, the use of stochastic methods for turbulence simulations seems to be the optimal way to solve most of the problems related to industrial flow simulations. However, it turns out that this is not as simple as it looks at first glance. The first question concerns the numerical solution of stochastic equations for flows of environmental and technological interest. To calculate industrial flows, 3 one often has to consider a number of grid cells that is of the order of 100 .
