2016
DOI: 10.1615/heattransres.2015014191
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Determination of Critical Reynolds Numbers for Nonisothermal Flows by Using the Stochastic Theories of Turbulence and Equivalent Measures

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Cited by 11 publications
(20 citation statements)
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“…These well-known facts have not been explained theoretically up to now to the extent when, using a single theoretical formulation of the problem, it is possible to calculate a majority of turbulence parameters of interest for the practice and theory. The development of the DNS numerical methods has led to the necessity of "stochastization" of the Navier-Stokes equation or to its transformation to a form of the type of P. Langevin′s equation [8][9][10][11][12][13] by supplementing its right-hand side with a free term that determines perturbation, albeit without corresponding terms in the continuity and energy equations [16,[23][24][25][26][27][28][29][30].…”
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confidence: 99%
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“…These well-known facts have not been explained theoretically up to now to the extent when, using a single theoretical formulation of the problem, it is possible to calculate a majority of turbulence parameters of interest for the practice and theory. The development of the DNS numerical methods has led to the necessity of "stochastization" of the Navier-Stokes equation or to its transformation to a form of the type of P. Langevin′s equation [8][9][10][11][12][13] by supplementing its right-hand side with a free term that determines perturbation, albeit without corresponding terms in the continuity and energy equations [16,[23][24][25][26][27][28][29][30].…”
mentioning
confidence: 99%
“…Note that the stochastic equations, derived in [17][18][19], on their right-hand side include free terms of gradient and nongradient structures. For this purpose, the following space-time domains were determined in [17][18][19][20][21][22][23]: 1) the start of turbulence generation; 2) turbulence generation; 3) diffusion; 4) turbulence dissipation. With the use of the law of the equivalence of measures, each of the domains has its own system of stochastic equations within the framework of the general system of stochastic equations for mass, momentum, and energy.…”
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confidence: 99%
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