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通过前缘涡增强提高群居鱼类的游泳性能。

Improved swimming performance in schooling fish via leading-edge vortex enhancement.

机构信息

Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, United States of America.

出版信息

Bioinspir Biomim. 2022 Nov 3;17(6). doi: 10.1088/1748-3190/ac9bb4.

Abstract

The hydrodynamics of schooling fish has been the subject of continued investigation over the last 50 years; fish schools exhibit a variety of arrangements and several distinct mechanisms have been proposed to explain the hydrodynamic benefits of schooling. In the current study, we use direct numerical simulations to show that a caudal fin swimmer trailing another similar swimmer can significantly improve its swimming performance by positioning itself such that the wake-induced flow of the leading fish, enhances the leading-edge vortex (LEV) on the fin of the trailing fish. Improvements of up to 12% in both the thrust and efficiency of the trailing fish are possible with this mechanism. The mechanisms underlying these interactional effects are quantitatively analyzed by applying the force partitioning method, a powerful data-driven method that partitions the pressure forces on the fish into mechanistically distinct components. The analysis reveals that the LEV on the fin dominates the overall thrust production for these swimmers and its enhancement therefore provides an effective and robust means for harnessing fish-fish hydrodynamic interactions in a school. In addition to confirming the potential energetic benefits of schooling, the LEV enhancement mechanism could be exploited in coordinated swimming of bioinspired multi-vehicle or multi-foil flapping foil propulsion systems.

摘要

过去 50 年来,群体洄游鱼类的水动力特性一直是持续研究的课题;鱼群表现出多种排列方式,并且已经提出了几种不同的机制来解释群体洄游的水动力优势。在当前的研究中,我们使用直接数值模拟表明,尾随另一条类似鱼类的鱼尾鳍鱼类可以通过将自身定位,从而显著提高游泳性能,这种定位方式利用了先导鱼的尾迹诱导流,增强了尾随鱼鳍上的前缘涡(LEV)。通过这种机制,尾随鱼的推力和效率最多可提高 12%。通过应用力分配方法对这些相互作用的机制进行了定量分析,力分配方法是一种强大的数据驱动方法,可将鱼体上的压力力分解为具有明确机制的不同分量。分析表明,鳍上的 LEV 主导了这些鱼类的整体推力产生,因此其增强为利用群体中的鱼类水动力相互作用提供了一种有效且稳健的手段。除了证实群体洄游的潜在能量优势外,LEV 增强机制还可用于仿生多车辆或多翼片扑翼推进系统的协调游泳。

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