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arXiv 2304.02935physics.bio-phnlin.AOphysics.flu-dyn
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具有自主鳍运动的鱼类自推进模型的涡旋相位匹配

Vortex phase matching of a self-propelled model of fish with autonomous fin motion

Susumu Ito, Nariya Uchida

AI总结:

本文提出一种带中枢模式发生器和主动拍动板的自推进鱼模型,揭示了鱼对通过涡旋介导的流体动力学相互作用自发调整距离与尾拍相位差以降低能耗的机制。

摘要:

鱼群如何通过利用其他鱼脱落的涡旋来优化自身运动一直是一个长期存在的问题。最近的一项实验研究表明,一对鱼通过根据彼此距离匹配尾拍相位来降低能量消耗。为了阐明鱼类通过涡旋介导的流体动力学相互作用控制尾鳍运动的动力学机制,我们引入了一种新的具有主动拍动板的自推进游动者模型。该模型除了考虑鳍上的流体动力学扭矩和弹性扭矩外,还纳入了中枢模式发生器网络的作用,该网络产生有节奏但带噪声的尾部肌肉活动。对于单条鱼,该模型再现了游动速度与尾拍频率之间的线性关系,以及速度、尾拍幅度和频率的分布。对于一对鱼,分布函数和能量耗散率均表现为前后距离和拍动运动相位差的函数,并呈现出周期性模式。我们表明,一对鱼会通过流体动力学相互作用自发调整其距离和相位差,以降低能量消耗。

英文摘要:

It has been a long-standing problem how schooling fish optimize their motion by exploiting the vortices shed by the others. A recent experimental study showed that a pair of fish reduce energy consumption by matching the phases of their tailbeat according to their distance. In order to elucidate the dynamical mechanism by which fish control the motion of caudal fins via vortex-mediated hydrodynamic interactions, we introduce a new model of a self-propelled swimmer with an active flapping plate. The model incorporates the role of the central pattern generator network that generates rhythmic but noisy activity of the caudal muscle, in addition to hydrodynamic and elastic torques on the fin. For a solitary fish, the model reproduces a linear relation between the swimming speed and tailbeat frequency, as well as the distributions of the speed, tailbeat amplitude, and frequency. For a pair of fish, both the distribution function and energy dissipation rate exhibit periodic patterns as functions of the front-back distance and phase difference of the flapping motion. We show that a pair of fish spontaneously adjust their distance and phase difference via hydrodynamic interaction to reduce energy consumption.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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