2016
DOI: 10.1103/physreve.93.013117
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Evolution of secondary whirls in thermoconvective vortices: Strengthening, weakening, and disappearance in the route to chaos

Abstract: The appearance, evolution, and disappearance of periodic and quasiperiodic dynamics of fluid flows in a cylindrical annulus locally heated from below are analyzed using nonlinear simulations. The results reveal a route of the transition from a steady axisymmetric vertical vortex to a chaotic flow. The chaotic flow regime is reached after a sequence of successive supercritical Hopf bifurcations to periodic, quasiperiodic, and chaotic flow regimes. A scenario similar to the Ruelle-Takens-Newhouse scenario is ver… Show more

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Cited by 9 publications
(3 citation statements)
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“…Understanding how systems become chaotic is of fundamental importance in many applications. Biological systems [1,2], financial models [3], road traffic modelling [4], laser physics [5], neural networks [6], and simulations in fluid dynamics [7], or magnetohydrodynamics [8], exhibit transitions from regular oscillatory behaviour to a chaotic regime. Quite often, this transition follows the Newhouse-Ruelle-Takens (NRT) [9] scenario in which after a few bifurcations, involving quasiperiodic states, chaos emerges.…”
mentioning
confidence: 99%
“…Understanding how systems become chaotic is of fundamental importance in many applications. Biological systems [1,2], financial models [3], road traffic modelling [4], laser physics [5], neural networks [6], and simulations in fluid dynamics [7], or magnetohydrodynamics [8], exhibit transitions from regular oscillatory behaviour to a chaotic regime. Quite often, this transition follows the Newhouse-Ruelle-Takens (NRT) [9] scenario in which after a few bifurcations, involving quasiperiodic states, chaos emerges.…”
mentioning
confidence: 99%
“…Though remarked upon, they offer no discussion or explanation for this. Oscillations have also been observed in models of dust devils by Castaño et al [16]. In this case the oscillations are asymmetric and occur through a sequence of Hopf bifurcations.…”
Section: Introductionmentioning
confidence: 56%
“…Understanding how systems become chaotic is of fundamental importance in many applications. Biological systems [1,2], financial models [3], road traffic modelling [4], laser physics [5], neural networks [6], and simulations in fluid dynamics [7], or magnetohydrodynamics [8], exhibit transitions from regular oscillatory behaviour to a chaotic regime. Quite often, this transition follows the Newhouse-Ruelle-Takens (NRT) [9] scenario in which after a few bifurcations, involving quasiperiodic states, chaos emerges.…”
mentioning
confidence: 99%