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Nonlinear dynamics of an elliptic vortex embedded in an oscillatory shear flow
1Pacific Oceanological Institute of FEB RAS, 43, Baltiyskaya Street, Vladivostok 690041, Russia.
This study numerically investigates chaotic regimes in elliptic vortex dynamics under time-periodic shear flow. Nonlinear resonance analysis reveals enhanced stability in regular dynamics regions when specific resonance zones overlap with critical points.
Area of Science:
- Fluid Dynamics
- Nonlinear Dynamics
- Chaos Theory
Background:
- Elliptic vortices are fundamental in fluid mechanics.
- Understanding vortex dynamics under external flows is crucial for predicting complex fluid behaviors.
- Nonlinear resonance overlaps theory provides a framework for analyzing chaotic phenomena.
Purpose of the Study:
- To numerically study the nonlinear dynamics of an elliptic vortex subjected to time-periodic linear external shear flow.
- To investigate the appearance of chaotic regimes and analyze nonlinear resonance overlaps.
- To explore the impact of perturbation frequency on stability regions and regular dynamics.
Main Methods:
- Numerical simulation of elliptic vortex dynamics.
- Application of nonlinear resonance overlaps theory.
- Analysis of phase portraits and stability regions under varying perturbation frequencies.
Main Results:
- For systems with a separatrix, the 1:1 nonlinear resonance significantly enhances the persistence of regular dynamics when its stability region occupies the critical point.
- Similar persistence of regular motion is observed for higher perturbation frequencies when stability islands reach the central elliptic point.
- Systems without a separatrix exhibit larger stability islands associated with nonlinear resonances.
Conclusions:
- Time-periodic shear flow introduces significant changes to vortex dynamics compared to stationary flow.
- Nonlinear resonances play a critical role in determining the stability and chaotic behavior of elliptic vortices.
- The findings highlight the importance of resonance phenomena in controlling regular versus chaotic dynamics in fluid systems.
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