Chapter 2: Lagrangian and Eulerian descriptions of hydrodynamic systems

2013 ◽  
Vol 71 (3) ◽  
pp. 305-351 ◽  
Author(s):  
Yarema A. Prykarpatsky ◽  
Orest D. Artemovych ◽  
Maxim V. Pavlov ◽  
Anatolij K. Prykarpatski

Author(s):  
Krzysztof Marciniak ◽  
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Maciej Błaszak ◽  
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2020 ◽  
Vol 498 (3) ◽  
pp. 3758-3781 ◽  
Author(s):  
Adam S Jermyn ◽  
Shashikumar M Chitre ◽  
Pierre Lesaffre ◽  
Christopher A Tout

ABSTRACT We derive the scaling of differential rotation in both slowly and rapidly rotating convection zones using order of magnitude methods. Our calculations apply across stars and fluid planets and all rotation rates, as well as to both magnetized and purely hydrodynamic systems. We find shear |R∇Ω| of order the angular frequency Ω for slowly rotating systems with Ω ≪ |N|, where N is the Brünt–Väisälä frequency, and find that it declines as a power law in Ω for rapidly rotating systems with Ω ≫ |N|. We further calculate the meridional circulation rate and baroclinicity and examine the magnetic field strength in the rapidly rotating limit. Our results are in general agreement with simulations and observations and we perform a detailed comparison with those in a companion paper.


2019 ◽  
Vol 862 ◽  
pp. 200-215 ◽  
Author(s):  
Minwoo Lee ◽  
Yuanhang Zhu ◽  
Larry K. B. Li ◽  
Vikrant Gupta

Low-density jets are central to many natural and industrial processes. Under certain conditions, they can develop global oscillations at a limit cycle, behaving as a prototypical example of a self-excited hydrodynamic oscillator. In this study, we perform system identification of a low-density jet using measurements of its noise-induced dynamics in the unconditionally stable regime, prior to both the Hopf and saddle-node points. We show that this approach can enable prediction of (i) the order of nonlinearity, (ii) the locations and types of the bifurcation points (and hence the stability boundaries) and (iii) the resulting limit-cycle oscillations. The only assumption made about the system is that it obeys a Stuart–Landau equation in the vicinity of the Hopf point, thus making the method applicable to a variety of hydrodynamic systems. This study constitutes the first experimental demonstration of system identification using the noise-induced dynamics in only the unconditionally stable regime, i.e. away from the regimes where limit-cycle oscillations may occur. This opens up new possibilities for the prediction and analysis of the stability and nonlinear behaviour of hydrodynamic systems.


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