Aix Marseille University, CNRS, Centrale Marseille, IRPHE, 13013 Marseille, France.
Department of Mechanical, Electrical, and Manufacturing Engineering, Loughborough University, Loughborough LE11 3TU, United Kingdom.
Phys Rev Lett. 2018 May 11;120(19):198101. doi: 10.1103/PhysRevLett.120.198101.
Fish schooling is often modeled with self-propelled particles subject to phenomenological behavioral rules. Although fish are known to sense and exploit flow features, these models usually neglect hydrodynamics. Here, we propose a novel model that couples behavioral rules with far-field hydrodynamic interactions. We show that (1) a new "collective turning" phase emerges, (2) on average, individuals swim faster thanks to the fluid, and (3) the flow enhances behavioral noise. The results of this model suggest that hydrodynamic effects should be considered to fully understand the collective dynamics of fish.
鱼类群体游动通常通过受唯象行为规则支配的自推进粒子来建模。尽管鱼类能够感知和利用流特征，但这些模型通常忽略了流体动力学。在这里，我们提出了一个将行为规则与远场水动力相互作用相结合的新模型。我们表明：(1) 出现了一个新的“集体转向”相；(2) 平均而言，个体由于流体的作用而游得更快；(3) 流动增强了行为噪声。该模型的结果表明，为了充分理解鱼类的集体动力学，应该考虑流体动力效应。
