鲹科游泳者中流体动力学有利的鱼群配置:来自流动物理学信息模型的洞见
Hydrodynamically Beneficial School Configurations in Carangiform Swimmers: Insights from a Flow-Physics Informed Model
AI总结:
本研究基于前缘涡增强现象学建立模型,利用尾流速度数据预测尾随游泳者性能,分析多种参数对推力增强的影响,为鱼群和仿生水下航行器提供洞见。
摘要:
研究人员长期以来一直在争论,对于鱼群中鱼类的流体动力学性能,哪些空间排列和游泳同步是有利的。在我们先前的工作中(Seo和Mittal,Bioinsp. Biomim.,第17卷,066020,2022年),我们使用直接数值模拟证明,与领先的体尾鳍鲹科游泳者的尾流发生的流体动力学相互作用,可以通过增强其尾鳍上的前缘涡(LEV)来显著提升尾随游泳者的游泳性能。在本研究中,我们开发了一个基于前缘涡增强现象学的模型,该模型利用领先鱼的直接数值模拟的尾流速度数据,无需额外模拟即可预测尾随游泳者的流体动力学性能。这种方法能够全面分析相对位置、相位差、扑动幅度、雷诺数以及鱼群中游泳者数量对推力增强的影响。结果提供了关于这些参数影响的若干洞见,这些洞见对鱼群以及仿生水下航行器应用都具有意义。
英文摘要:
Researchers have long debated which spatial arrangements and swimming synchronizations are beneficial for the hydrodynamic performance of fish in schools. In our previous work (Seo and Mittal, Bioinsp. Biomim., Vol. 17, 066020, 2022), we demonstrated using direct numerical simulations that hydrodynamic interactions with the wake of a leading body-caudal fin carangiform swimmer could significantly enhance the swimming performance of a trailing swimmer by augmenting the leading-edge vortex (LEV) on its caudal fin. In this study, we develop a model based on the phenomenology of LEV enhancement, which utilizes wake velocity data from direct numerical simulations of a leading fish to predict the trailing swimmer's hydrodynamic performance without additional simulations. This approach enables a comprehensive analysis of the effects of relative positioning, phase difference, flapping amplitude, Reynolds number, and the number of swimmers in the school on thrust enhancement. The results offer several insights regarding the effect of these parameters that have implications for fish schools as well as for bio-inspired underwater vehicle applications.
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