Order and chaos in systems of two and three coaxial vortex pairs

IF 2.7 3区 数学 Q1 MATHEMATICS, APPLIED
Christiana Mavroyiakoumou , Wenzheng Shi
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引用次数: 0

Abstract

Systems of coaxial vortex pairs in an inviscid flow give rise to complex dynamics, with motions ranging from ordered to chaotic. This complexity arises due to the problem’s high nonlinearity and numerous degrees of freedom. We analyze the periodic interactions of two vortex pairs with the same absolute strength moving along the same axis and in the same direction. We derive an explicit formula for the leapfrogging period, considering different initial sizes and horizontal separations, and find excellent quantitative agreement with the numerically computed leapfrogging period. We then extend our study to three coaxial vortex pairs with differing strengths, exploring a broad range of initial geometric configurations, and identify conditions that lead to escape to infinity, periodic or quasi-periodic leapfrogging, and chaotic interactions. We also quantify the occurrence of periodic leapfrogging, revealing that the system transitions to two subsystems when vortex pairs have dissimilar strengths and sizes. By performing a sensitivity analysis using neural networks, we find that the initial horizontal separation between the vortex pairs has the most significant effect on the leapfrogging period.
二轴和三轴涡旋对系统的有序和混沌
无粘流动中的同轴涡旋对系统会产生复杂的动力学,其运动范围从有序到混沌。这种复杂性的产生是由于问题的高度非线性和众多的自由度。我们分析了两个绝对强度相同的涡旋对沿同一轴向同一方向运动的周期性相互作用。在考虑不同初始尺寸和水平间距的情况下,推导出了跨跃期的显式公式,并与数值计算的跨跃期进行了极好的定量吻合。然后,我们将研究扩展到三个不同强度的同轴涡旋对,探索了广泛的初始几何构型,并确定了导致逃逸到无限远、周期或准周期跨越和混沌相互作用的条件。我们还量化了周期性跨越的发生,揭示了当涡旋对具有不同强度和大小时,系统过渡到两个子系统。通过神经网络的灵敏度分析,我们发现涡旋对之间的初始水平距离对跨越期的影响最为显著。
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来源期刊
Physica D: Nonlinear Phenomena
Physica D: Nonlinear Phenomena 物理-物理:数学物理
CiteScore
7.30
自引率
7.50%
发文量
213
审稿时长
65 days
期刊介绍: Physica D (Nonlinear Phenomena) publishes research and review articles reporting on experimental and theoretical works, techniques and ideas that advance the understanding of nonlinear phenomena. Topics encompass wave motion in physical, chemical and biological systems; physical or biological phenomena governed by nonlinear field equations, including hydrodynamics and turbulence; pattern formation and cooperative phenomena; instability, bifurcations, chaos, and space-time disorder; integrable/Hamiltonian systems; asymptotic analysis and, more generally, mathematical methods for nonlinear systems.
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