UNS: Deconstructing Complex Flight Aerodynamics by Data-Driven Identification of Low Order Non-linear Motion Models

UNS：通过数据驱动的低阶非线性运动模型识别解构复杂的飞行空气动力学

• 批准号: 1510797
• 负责人: Danesh Tafti
• 金额: $ 35.3万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-07-15 至 2020-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1510797&HistoricalAwards=false
• 关键词: UNS; Deconstructing; Complex; Flight; Aerodynamics

1510797(Tafti)This is a proposal to investigate the unsteady flow around the wings of a bat and to uncover the fluid dynamics phenomena that are responsible for the highly maneuverable flight of bats. Bat wings are very different than wings of birds and insects, and these differences allow them to adapt to different flight conditions. Results from the proposed work could have wide-ranging applications from the design of autonomous flying vehicles to the development of more efficient turbines for the extraction of wind or water current energy, addressing a National need in energy research.The research objective is to study the fluid dynamics around flexible, flapping membrane-like wings that can provide unique maneuverability and flight efficiency. Bats can control their wing beat amplitude and frequency, stroke plane, wing membrane deformation, wing camber, wing area and aspect ratio in a synthesis of a very complex motion. Much of the current work in understanding the mechanics of flapping flight is not applicable for such multi-articulated wing motion and the ensuing unsteady fluid dynamics observed during bat flight. It is proposed to use flight experiments and computations to understand the mechanics of bat flight. Flight measurements will be conducted with live bats using 3D high-resolution cameras in redundant configurations to generate complete, detailed and accurate motion data of maneuvering in flight. The images will be analyzed to produce kinematic descriptions of fixed points located on the bat body. Based on the flight data, a general and rigorous formulation for deriving low dimensional dynamic models of flapping flight will be developed. The goal is to identify the low-dimensional manifolds that characterize the flight dynamics and the induced forces on the wings. The approach can be viewed as an extension of the proper orthogonal decomposition (POD) method to consider a wider class of nonlinear, low-order models of wing motion validated by the resultant unsteady aerodynamics. The project will actively recruit qualified minority candidates and leverage this activity through the Virginia Tech, ADVANCEVT program and minority students from HBCUs and majority Hispanic serving institutions. The PIs will continue their participation in the VT College of Engineering CEED program for recruiting and outreach to K-12 women and minorities.

[1510797] （Tafti）这是一项研究蝙蝠翅膀周围非定常流场的建议，旨在揭示蝙蝠高机动性飞行的流体动力学现象。蝙蝠的翅膀与鸟类和昆虫的翅膀非常不同，这些差异使它们能够适应不同的飞行条件。拟议工作的结果可能会有广泛的应用，从自主飞行器的设计到开发更有效的风力或水流能量提取涡轮机，解决国家能源研究的需求。研究目标是研究具有独特机动性和飞行效率的柔性扑动膜状机翼周围的流体动力学。蝙蝠可以控制自己的翅膀拍动幅度和频率、划动平面、翼膜变形、翼弧度、翼面积和展弦比在一个非常复杂的运动中合成。目前在理解扑动飞行力学方面的许多工作并不适用于这种多关节翼运动以及随后在蝙蝠飞行中观察到的非定常流体动力学。提出了利用飞行实验和计算来理解蝙蝠飞行力学的方法。飞行测量将使用冗余配置的3D高分辨率摄像机进行，以生成飞行中机动的完整、详细和准确的运动数据。这些图像将被分析，以产生位于蝙蝠身体上的固定点的运动学描述。在此基础上，提出了一种推导扑翼飞行低维动力学模型的通用而严谨的公式。目标是确定表征飞行动力学和机翼上诱导力的低维流形。该方法可以看作是适当的正交分解（POD）方法的扩展，以考虑更广泛的非线性低阶机翼运动模型，并通过所得到的非定常空气动力学验证。该项目将积极招募合格的少数族裔候选人，并通过弗吉尼亚理工大学advance evt项目和来自hbcu的少数族裔学生以及以西班牙裔为主的服务机构来利用这一活动。ppi将继续参与VT工程学院CEED项目，招募和推广K-12妇女和少数民族。