Generation and suppression of turbulence in an axisymmetric turbulent jet under an acoustic effect

Vlasov, E. V.; Ginevskii, A. S.

doi:10.1007/bf01014260

Cited by 6 publications

(5 citation statements)

References 4 publications

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“…48) which is similar in form to Eq.(4.18). Again, the probability distribution depends on the sign of the velocity v. For v > 0 it is a nonmonotonic function of v (it can have several extrema), but for v < 0 it is a monotonically decreasing function.…”

mentioning

confidence: 81%

“…During the 1960s and 70s researchers in the Russian Central Aerodynamical Institute (TSAGI) proposed and demonstrated a method of controlling turbulence in submerged jets by the application of an acoustic wave [47,48]. This process was subsequently investigated in more detail by many other researchers [12][13][14][15][16][17][18]49,20,22,23,50,51]; the underlying mechanism can be considered as a manifestation of stochastic resonance [52].…”

Section: Control Of Noise-driven Pendulum Oscillations By a Harmonic mentioning

confidence: 99%

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Nonlinear systems with fast and slow motions. Changes in the probability distribution for fast motions under the influence of slower ones

Landa

McClintock

2013

Physics Reports

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The influence of slow processes on the probability distribution of fast random processes is investigated. By reviewing four examples we show that such influence is apparently of a universal character and that, in some cases, this universality is of multifractal form. As our examples we consider theoretically stochastic resonance, turbulent jets with acoustic forcing, and two problems studied experimentally by Shnol' on the influence of the Earth's slow rotation on the probability distribution for the velocities of model Brownian particles and on alpha decay. In the case of stochastic resonance, the slow process is a low frequency, harmonic, external force. In the case of turbulent jets, the slow process is acoustic forcing. In the models based on Shnol's experiments, the slow processes are inertial forces arising from the rotation of the Earth, both about its own axis and about the Sun. It is shown that all of these slow processes cause changes in the probability distributions for the velocities of fast processes interacting with them, and that these changes are similar in form.

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mentioning

confidence: 81%

Section: Control Of Noise-driven Pendulum Oscillations By a Harmonic mentioning

confidence: 99%

Nonlinear systems with fast and slow motions. Changes in the probability distribution for fast motions under the influence of slower ones

Landa

McClintock

2013

Physics Reports

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“…It should be noted that the influence of acoustic forcing was first studied by Ginevsky and Vlasov [102][103][104][105][106]. Let us consider their main results.…”

Section: Suppression and Intensification Of Turbulence In Jets By A Wmentioning

confidence: 99%

Development of turbulence in subsonic submerged jets

Landa

McClintock

2004

Physics Reports

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The development of turbulence in subsonic submerged jets is reviewed. It is shown that the turbulence results from a strong amplification of the weak input noise that is always present in the jet nozzle exit section. At a certain distance from the nozzle the amplification becomes essentially nonlinear. This amplified noise leads to a transition of the system to a qualitatively new state, which depends only slightly on the characteristics of the input noise, such as its power spectrum. Such a transition has much in common with nonequilibrium noise-induced phase transitions in nonlinear oscillators with multiplicative and additive noise. The Krylov-Bogolyubov method for spatially extended systems is used to trace the evolution of the power spectra, the root-mean-square amplitude of the turbulent pulsations, and the mean velocity, with increasing distance from the nozzle. It is shown that, as turbulence develops, its longitudinal and transverse scales increase. The results coincide qualitatively and also, in specific cases, quantitatively, with known experimental data.

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“…These motions, formed near the nozzle exit, are featured by a wide range of scales, varying convection velocity and a rich set of three-dimensional patterns (Garnaud et al 2013); they are sensitive to initial conditions (e.g. the turbulence level, boundary layer thickness, nozzle geometry) and external periodic disturbances (Vlasov & Ginevskii 1973), thus, highly susceptible for control.…”

Section: Introductionmentioning

confidence: 99%