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Titlebook: Statistical Models and Turbulence; Proceedings of a Sym M. Rosenblatt,C. Atta Conference proceedings 1972 Springer-Verlag Berlin Heidelberg

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书目名称Statistical Models and Turbulence
副标题Proceedings of a Sym
编辑M. Rosenblatt,C. Atta
视频video
丛书名称Lecture Notes in Physics
图书封面Titlebook: Statistical Models and Turbulence; Proceedings of a Sym M. Rosenblatt,C. Atta Conference proceedings 1972 Springer-Verlag Berlin Heidelberg
出版日期Conference proceedings 1972
关键词Stochastisches Modell; Turbulenz; flow; fluid mechanics; mechanics; turbulence
版次1
doihttps://doi.org/10.1007/3-540-05716-1
isbn_softcover978-3-540-05716-1
isbn_ebook978-3-540-37093-2Series ISSN 0075-8450 Series E-ISSN 1616-6361
issn_series 0075-8450
copyrightSpringer-Verlag Berlin Heidelberg 1972
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,Burger’s equation: Generalizations and solutions,rgers equation is the inclusion of forcing terms in the Navier-Stokes equation..A number of directions for future work are suggested. From the connection with the Schrödinger equation we know there are other soluble models. For example, the case of a plane electromagnetic wave incident on a charged
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A closure hypothesis for the hierarchy of equations for turbulent probability distribution function distribution functions. The theory is applied to isotropic, homogeneous turbulence at large wave number giving a nonlinear integral equation for the correlation function at small separation. The Kolmogorov spectrum is found in the inertial range and the Kolmogorov constant is determined.
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Dynamo instability and feedback in a stochastically driven system,erence (i) to the magnetohydrodynamic turbulent dynamo problem, and (ii) to the problem of diffusion of a passive scalar field by turbulent motion. The result of Steenbeck, Krause and Radler (1966), that in the former context dynamo action can occur (i.e. the ensemble average of . can grow without l
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,Burger’s equation: Generalizations and solutions,tokes equation to our soluble model equations..In this connection it may be mentioned that there a re other model equations due to Burgers. which, when suitably modified. yield simple solutions. Similar remarks hold for these equations.
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Probability limit theorems and some questions in fluid mechanics 1), ergodicity and strong mixing are introduced.An example of asymptotic nonnormality is given when the form of asymptotic independence is not sufficiently strong.The derivation of a new result indicating that uniform ergodicity is strong mixing when there is trivial tail field is briefly sketched.
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https://doi.org/10.1007/3-540-05716-1Stochastisches Modell; Turbulenz; flow; fluid mechanics; mechanics; turbulence
发表于 2025-3-23 07:06:41 | 显示全部楼层
A closure hypothesis for the hierarchy of equations for turbulent probability distribution function distribution functions. The theory is applied to isotropic, homogeneous turbulence at large wave number giving a nonlinear integral equation for the correlation function at small separation. The Kolmogorov spectrum is found in the inertial range and the Kolmogorov constant is determined.
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