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模型群在涡旋流中的稳定性。

Stability of model flocks in a vortical flow.

作者信息

Baggaley A W

机构信息

School of Mathematics and Statistics, Newcastle University, Newcastle upon Tyne, NE1 7RU, United Kingdom.

and Joint Quantum Centre Durham-Newcastle, Newcastle University, Newcastle upon Tyne, NE1 7RU, United Kingdom.

出版信息

Phys Rev E. 2016 Jun;93(6):063109. doi: 10.1103/PhysRevE.93.063109. Epub 2016 Jun 17.

Abstract

We investigate the stability of self-propelled particle flocks in the Taylor-Green vortex, a steady vortical flow. We consider a model in which particles align themselves to a combination of the orientation and the acceleration of particles within a critical radius. We identify two distinct regimes: If alignment with orientation is dominant, the particles tend to be expelled from regions of high vorticity. In contrast, if anticipation is dominant, the particles accumulate in areas of large vorticity. In both regimes, the relative order of the flock is reduced. However, we show that there can be a critical balance of the two effects that stabilizes the flock in the presence of external fluid forcing. This strategy could provide a mechanism for animal flocks to remain globally ordered in the presence of fluid forcing, and it may also have applications in the design of flocking autonomous drones and artificial microswimmers.

摘要

我们研究了自驱动粒子群在泰勒 - 格林涡(一种稳定的涡旋流)中的稳定性。我们考虑一个模型,其中粒子会根据临界半径内粒子的取向和加速度的组合来排列自身。我们识别出两种不同的状态:如果与取向的对齐占主导,粒子往往会被从高涡度区域排出。相反,如果预期占主导,粒子会在大涡度区域聚集。在这两种状态下,群的相对有序性都会降低。然而,我们表明在外部流体强迫存在的情况下,这两种效应之间可能存在一种临界平衡,从而使群稳定。这种策略可以为动物群在流体强迫存在的情况下保持全局有序提供一种机制,并且它也可能在群体自主无人机和人工微游动器的设计中有应用。

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