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Book Stochastic Tools in Turbulence

Download or read book Stochastic Tools in Turbulence written by John L. Lumey and published by Elsevier. This book was released on 2012-12-02 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic Tools in Turbulence discusses the available mathematical tools to describe stochastic vector fields to solve problems related to these fields. The book deals with the needs of turbulence in relation to stochastic vector fields, particularly, on three-dimensional aspects, linear problems, and stochastic model building. The text describes probability distributions and densities, including Lebesgue integration, conditional probabilities, conditional expectations, statistical independence, lack of correlation. The book also explains the significance of the moments, the properties of the characteristic function, and the Gaussian distribution from a more physical point of view. In considering fields, one must account for single-valued functions of one or more parameters, or collections of single-valued functions of one or more parameters such as time or space coordinates. The text also discusses multidimensional vector fields of finite energy, the characteristic eddies for a homogenous vector field, as well as, the distribution of solutions of an algebraic equation. Engineers, algebra students, and professors of statistics and advanced mathematics will find the book highly useful.

Book Stochastic Tools in Turbulence

Download or read book Stochastic Tools in Turbulence written by John L. Lumley and published by . This book was released on 2007 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Applied Mathematics and Mechanics

Download or read book Applied Mathematics and Mechanics written by John Leask Lumley and published by . This book was released on 1970 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Stochastic Tools in Turbulence  Volume 12  Applied Mathematics and Mechanics

Download or read book Stochastic Tools in Turbulence Volume 12 Applied Mathematics and Mechanics written by John L. Lumley and published by . This book was released on 1970 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: The monograph focuses on the mathematical tools available for describing and solving problems relating to stochastic vector fields. The book has applicability beyond problems relating to turbulence, although its orientation arises from these problems. The mathematical level rests between that customarily observed in books for physicists and that for mathematicians. The employment of generalized functions helps to resolve many of the mathematical questions in a relatively simple way. The extensive appendices on the subject, as well as on Fourier transforms, tensors, and invariant theory, are significant in making the book mathematically self-contained. (Author).

Book Stochastic Tools in Mathematics and Science

Download or read book Stochastic Tools in Mathematics and Science written by Alexandre J. Chorin and published by Springer Science & Business Media. This book was released on 2009-07-24 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: This introduction to probability-based modeling covers basic stochastic tools used in physics, chemistry, engineering and the life sciences. Topics covered include conditional expectations, stochastic processes, Langevin equations, and Markov chain Monte Carlo algorithms. The applications include data assimilation, prediction from partial data, spectral analysis and turbulence. A special feature is the systematic analysis of memory effects.

Book Stochastic Tools in Mathematics and Science

Download or read book Stochastic Tools in Mathematics and Science written by Alexandre J Chorin and published by Springer Science & Business Media. This book was released on 2005-11-29 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: This introduction to probability-based modeling covers basic stochastic tools used in physics, chemistry, engineering and the life sciences. Topics covered include conditional expectations, stochastic processes, Langevin equations, and Markov chain Monte Carlo algorithms. The applications include data assimilation, prediction from partial data, spectral analysis and turbulence. A special feature is the systematic analysis of memory effects.

Book Stochastic Methods in Fluid Mechanics

Download or read book Stochastic Methods in Fluid Mechanics written by Sergio Chibbaro and published by Springer Science & Business Media. This book was released on 2013-09-05 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since their first introduction in natural sciences through the work of Einstein on Brownian motion in 1905 and further works, in particular by Langevin, Smoluchowski and others, stochastic processes have been used in several areas of science and technology. For example, they have been applied in chemical studies, or in fluid turbulence and for combustion and reactive flows. The articles in this book provide a general and unified framework in which stochastic processes are presented as modeling tools for various issues in engineering, physics and chemistry, with particular focus on fluid mechanics and notably dispersed two-phase flows. The aim is to develop what can referred to as stochastic modeling for a whole range of applications.

Book Stochastic Tools in Mathematics and Science

Download or read book Stochastic Tools in Mathematics and Science written by Alexandre Joel Chorin and published by . This book was released on 2013-05-31 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Turbulence

    Book Details:
  • Author : Uriel Frisch
  • Publisher : Cambridge University Press
  • Release : 1995-11-30
  • ISBN : 9780521457132
  • Pages : 314 pages

Download or read book Turbulence written by Uriel Frisch and published by Cambridge University Press. This book was released on 1995-11-30 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook presents a modern account of turbulence, one of the greatest challenges in physics. The state-of-the-art is put into historical perspective five centuries after the first studies of Leonardo and half a century after the first attempt by A.N. Kolmogorov to predict the properties of flow at very high Reynolds numbers. Such "fully developed turbulence" is ubiquitous in both cosmical and natural environments, in engineering applications and in everyday life. First, a qualitative introduction is given to bring out the need for a probabilistic description of what is in essence a deterministic system. Kolmogorov's 1941 theory is presented in a novel fashion with emphasis on symmetries (including scaling transformations) which are broken by the mechanisms producing the turbulence and restored by the chaotic character of the cascade to small scales. Considerable material is devoted to intermittency, the clumpiness of small-scale activity, which has led to the development of fractal and multifractal models. Such models, pioneered by B. Mandelbrot, have applications in numerous fields besides turbulence (diffusion limited aggregation, solid-earth geophysics, attractors of dynamical systems, etc). The final chapter contains an introduction to analytic theories of the sort pioneered by R. Kraichnan, to the modern theory of eddy transport and renormalization and to recent developments in the statistical theory of two-dimensional turbulence. The book concludes with a guide to further reading. The intended readership for the book ranges from first-year graduate students in mathematics, physics, astrophysics, geosciences and engineering, to professional scientists and engineers.

Book Stochastic Tools in Mathematics and Science

Download or read book Stochastic Tools in Mathematics and Science written by Alexandre J Chorin and published by Springer. This book was released on 2010-11-16 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This introduction to probability-based modeling covers basic stochastic tools used in physics, chemistry, engineering and the life sciences. Topics covered include conditional expectations, stochastic processes, Langevin equations, and Markov chain Monte Carlo algorithms. The applications include data assimilation, prediction from partial data, spectral analysis and turbulence. A special feature is the systematic analysis of memory effects.

Book Turbulence and Random Processes in Fluid Mechanics

Download or read book Turbulence and Random Processes in Fluid Mechanics written by M. T. Landahl and published by Cambridge University Press. This book was released on 1992-09-25 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fluid flow turbulence is a phenomenon of great importance in many fields of engineering and science.

Book Statistical Mechanics of Turbulent Flows

Download or read book Statistical Mechanics of Turbulent Flows written by Stefan Heinz and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 .

Book Turbulence and Atomization and Sprays

Download or read book Turbulence and Atomization and Sprays written by Mikhael Gorokhovski and published by Iste Press - Elsevier. This book was released on 2016-10-26 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Turbulence in Fluids

Download or read book Turbulence in Fluids written by Marcel Lesieur and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: Turbulence is a dangerous topic which is often at the origin of serious fights in the scientific meetings devoted to it since it represents extremely different points of view, all of which have in common their complexity, as well as an inability to solve the problem. It is even difficult to agree on what exactly is the problem to be solved. Extremely schematically, two opposing points of view have been advocated during these last ten years: the first one is "statistical", and tries to model the evolution of averaged quantities of the flow. This com has followed the glorious trail of Taylor and Kolmogorov, munity, which believes in the phenomenology of cascades, and strongly disputes the possibility of any coherence or order associated to turbulence. On the other bank of the river stands the "coherence among chaos" community, which considers turbulence from a purely deterministic po int of view, by studying either the behaviour of dynamical systems, or the stability of flows in various situations. To this community are also associated the experimentalists who seek to identify coherent structures in shear flows.

Book Stochastic Analysis of Turbulence

Download or read book Stochastic Analysis of Turbulence written by Robert Stresing and published by . This book was released on 2011 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Stochastic Methods in Hydrology

Download or read book Stochastic Methods in Hydrology written by Ole E. Barndorff-Nielsen and published by World Scientific. This book was released on 1998 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book communicates some contemporary mathematical and statistical developments in river basin hydrology as they pertain to space-time rainfall, spatial landform and network structures and their role in understanding averages and fluctuations in the hydrologic water balance of river basins. While many of the mathematical and statistical nations have quite classical mathematical roots, the river basin data structure has led to many variations on the problems and theory.

Book Turbulence and Diffusion

    Book Details:
  • Author : Oleg G. Bakunin
  • Publisher : Springer Science & Business Media
  • Release : 2008-08-15
  • ISBN : 3540682228
  • Pages : 269 pages

Download or read book Turbulence and Diffusion written by Oleg G. Bakunin and published by Springer Science & Business Media. This book was released on 2008-08-15 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended to serve as an introduction to the multidisciplinary ?eld of anomalous diffusion in complex systems such as turbulent plasma, convective rolls, zonal ?ow systems, stochastic magnetic ?elds, etc. In spite of its great importance, turbulent transport has received comparatively little treatment in published mo- graphs. This book attempts a comprehensive description of the scaling approach to turbulent diffusion. From the methodological point of view, the book focuses on the general use of correlation estimates, quasilinear equations, and continuous time random walk - proach. I provide a detailed structure of some derivations when they may be useful for more general purposes. Correlation methods are ?exible tools to obtain tra- port scalings that give priority to the richness of ingredients in a physical pr- lem. The mathematical description developed here is not meant to provide a set of “recipes” for hydrodynamical turbulence or plasma turbulence; rather, it serves to develop the reader’s physical intuition and understanding of the correlation mec- nisms involved.