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: $ 1.19万
• 依托单位: University of Alberta
• 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=760203
• 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.

群体现象在自然界中普遍存在，其突出的例子包括鱼群、特定形态的鸟类飞行以及精子等小型生物体的集体运动。在这些自然动力系统中，由于流派每个成员的波动运动学而出现高度不稳定的三维涡流，并且由于相干的相互作用而变得更加复杂。此外，这些活动会在周围的流体中产生压力扰动，导致声信号在水中传播。本序言为我在计算领域建立和发展研究事业的计划奠定了基础。流体-结构-声学相互作用（FSAI）和仿生机器人，支持我开发下一代高速、高效、隐形的自然启发机器人的长期研究目标。目前的研究重点是开发一种新颖的计算求解器此外，该求解器还有助于提取和分析相干流动结构，以确定其产生不稳定力的作用。不同自然游泳者及其鱼群配置的准确理论和计算模型对于了解鱼类通过周围水流中的压力信号进行交流的机制也特别有意义，这使它们能够感觉到其他物体的存在并充当鱼群的角色。工具用于为此，我将开发模块来计算数值解算器中的声学特征，以了解涡体相互作用如何影响流场中压力扰动的发射​这项工作对于建立自主鱼状机器人的设计原则非常重要。除了仿生机器人和能量采集器之外，该项目还能够安静地游泳，而不会破坏自然栖息地，通过该研究获得的基础知识和该项目开发的新型计算工具的应用是跨学科的。相关生物学机制、动力学除了对多学科领域的 HQP 进行培训外，该项目还将为高中物理学生开发流体动力学教育模块，并介绍各种外展活动。为年轻女性和土著人民激发他们对 STEM 的兴趣。