主动和被动曲率对扑翼水动力性能的影响

D. Fernández‐Gutiérrez, W. V. Rees
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引用次数: 1

摘要

鳍鱼通过拍打它们的鳍来游泳,鳍是由一层不可伸展的膜连接起来的骨射线组成的。在整个扑动周期中,鳍通常会经历由于水动力载荷而产生的“被动”变形,以及由于内部肌肉组织使鳍变形而产生的“主动”变形。为了系统地分析鳍形对水动力性能的影响,需要对鳍的几何形状及其变形模式进行参数化定义,并与鳍的材料和力学性能相一致。本文给出了一个模型和算法来确定每条射线的任意面外曲率分布所对应的鳍形。形状是通过迭代执行约束相对应的膜的不可扩展性,和可忽略的扭转刚度射线计算。基于这个模型,我们提出了一个低阶参数化的鳍形状,捕捉主要的变形模式,由于联合流体动力载荷和内在驱动,与实验观察相比。为了证明该模型能够深入了解曲率对水动力鳍性能的影响,我们将算法集成到三维Navier-Stokes求解器中。利用该框架,我们给出了在雷诺数为1500和Strouhal数为0.3时被动变形和主动变形广义梯形尾鳍模型的循环平均推力系数的初步结果。结果表明,我们的模型、算法以及与流动求解器的集成为理解三维曲率对扑翼水动力性能的影响提供了一个有用的框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effect of Active and Passive Curvature on the Hydrodynamic Performance of Flapping Fins
Ray-finned fish swim by flapping their fins, which are composed of bony rays connected by an inextensible membrane. Throughout the flapping cycle, the fins typically undergo both ‘passive’ deformation due to hydrodynamic loading, and ‘active’ deformation arising from internal musculature deforming the fin against the flow. To systematically analyze the impact of fin shape on hydrodynamic performance, a parametric definition of the fin geometry and its modes of deformation is required, consistent with the fin’s material and mechanical properties. In this paper we present a model and algorithm to determine the fin shape corresponding to an arbitrary out-of-plane curvature distribution for each ray. The shape is computed by iteratively enforcing constraints corresponding to membrane inextensibility, and negligible torsional stiffness of the rays. Based on this model, we present a low-order parametrization of fin shapes that capture the predominant deformation modes due to combined hydrodynamic loading and intrinsic actuation, as compared to experimental observations. To demonstrate the model’s ability to provide insight into the effect of curvature on hydrodynamic fin performance, we integrate our algorithm into a 3D Navier-Stokes solver Using this framework, we present initial results on the cycle-averaged thrust coefficient of a passively and actively deforming generalized trapezoidal caudal fin model at Reynolds number 1500 and Strouhal number 0.3. The results demonstrate that our model, algorithm, and integration with the flow solver form a useful framework to understand the effect of 3D curvature on hydrodynamic performance of flapping fins.
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