Flow Physics and Vortex-Induced Acoustics in Bio-Inspired Collective Locomotion

仿生集体运动中的流动物理学和涡激声学

• 批准号: RGPIN-2022-03410
• 负责人: Khalid, MuhammadSaifUllah
• 金额: $ 0.64万
• 依托单位: Lakehead University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=760202
• 关键词: Flow; Physics; Vortex; Induced; Acoustics

Schooling phenomenon is ubiquitous in nature. Its prominent examples include swarms of fish, flight of birds in specific formations, and collective locomotion of small-scale biological objects, such as sperms. Such configurations help the members significantly reduce the energetic cost of propulsion as well as enhance their thrust and efficiency. In these natural dynamical systems, highly unsteady three-dimensional vortices emerge due to undulatory kinematics of each member of the school. It becomes more complex due to the interaction of coherent structures with the bodies moving in their vicinity. Furthermore, these activities generate pressure disturbances in the surrounding fluid, causing the spread of acoustic signals in water. This preamble provides the foundation of my plan to build and grow my research career in the fields of computational fluid-structure-acoustic interaction (FSAI) and bio-inspired robotics, which supports my long-term research objective of developing next-generation high-speed, efficient, and stealth nature-inspired robots. The presently proposed research focusses on the development of a novel computational solver through the sharp-interface immersed-boundary method to handle intense fluid-structure interactions, involving multiple oscillating bodies. Moreover, this solver facilitates the extraction and analysis of coherent flow structures to identify their roles for producing unsteady forces. The methodology will substantially contribute towards developing accurate theoretical and computational models of different natural swimmers and their schooling configurations. It is also particularly relevant to understand the mechanisms adopted by fish to communicate through pressure signals in surrounding flows, which allows them to feel the presence of other moving objects and acts as a tool for navigation. For this purpose, I will develop modules to compute acoustic signatures in the numerical solver to understand how vortex-body interactions impact the emission of pressure disturbances in flow fields.  This work is important to establish principles for designing autonomous fish-like robots capable of swimming silently without causing disruptions in natural habitats. Besides bio-inspired robots and energy harvesters, applications of the fundamental knowledge gained through this research and novel computational tools developed in this program are cross-disciplinary. These include the examination of various FSAI-related biological mechanisms, dynamics of different bodies in environmental flows, and the acoustic emissions in the environment from engineered systems. Along with training HQPs in multidisciplinary areas, this project will also address the development of educational modules on fluid dynamics for students in high school physics and introduce various outreach activities for young women and indigenous people to inspire them about STEM.

教育现象本质上无处不在。它的突出例子包括一群鱼，特定地层的鸟类和小规模生物物体的集体运动，例如精子。这种配置有助于会员显着降低推进的能源成本，并提高其推力和效率。在这些天然动态系统中，由于学校每个成员的不良运动学，高度不稳定的三维涡旋出现。由于相干结构与身体在附近移动的相互作用，它变得更加复杂。此外，这些活动会在周围的流体中产生压力障碍，从而导致声学信号在水中的传播。这个序言为我在计算流体结构 - 声学互动（FSAI）和生物启发的机器人方面建立和发展研究生涯的计划奠定了基础，这支持了我的长期研究目标，即开发下一代高速，高效，高效和蒸汽自然风格的机器人。目前提出的研究重点是通过尖锐的接口浸入结合方法来处理新型计算求解器，以处理强烈的流体结构相互作用，涉及多个振荡的物体。此外，该求解器促进了对相干流结构的提取和分析，以确定其产生不稳定力的作用。该方法将基本上有助于了解鱼类通过周围流动中的压力信号进行通信的机制特别相关，这使他们能够感觉到其他移动物体的存在，并充当导航的工具。为此，我将开发模块来计算数值求解器中的声学标志，以了解涡流相互作用如何影响流场压力干扰的发射。这项工作对于建立设计类似鱼类的机器人的原理很重要，能够静静地游泳而不会引起自然栖息地的干扰。除了受到生物启发的机器人和能量收割机外，通过这项研究获得的基本知识的应用以及该计划中开发的新计算工具都是跨学科的。其中包括检查各种与FSAI相关的生物学机制，环境流中不同物体的动力学以及工程系统中环境中的声学排放。除了在多学科领域的培训HQP外，该项目还将针对高中物理学学生的流体动态教育模块的发展，并为年轻妇女和土著人介绍各种外展活动，以激发她们有关STEM的灵感。