DDDAS-TMRP: Interactive Data-driven Flow-Simulation Parameter Refinement for Understanding the Evolution of Bat Flight

DDDAS-TMRP：交互式数据驱动的流动模拟参数细化，用于了解蝙蝠飞行的演变

• 批准号: 0540203
• 负责人: Jaime Peraire
• 金额: --
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-01-01 至 2007-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0540203&HistoricalAwards=false
• 关键词: DDDAS; TMRP; Interactive; Data; driven

The research project is aimed to create a Dynamic Data Driven Application aimed at improving the understanding of a complex biophysical system - the flight of bats. The system is comprised of a multi-level hierarchical simulation of bat flight based on parameterized features of bat morphology and behavior. The simulation operates at multiple levels of physical approximation and computational speed, and is capable of very rapid solutions but requires input from measurements to ensure fidelity and optimality. This input will be provided in an integrated fashion, drawing from a parallel series of experiments in which several discrete data streams will be generated, including kinematic wing data, wake velocity data over a series of two dimensional cutting planes, as well as other data such as bone deformation,experimentally-determined material properties, etc. This data will direct the simulation ensuring accurate solutions, but still with high responsiveness. The data streams will be monitored, synthesized, combined and processed using an advanced immersive visualization environment which will be used to guide the interactions between the measurement and simulation and to organize the disparate streams of data. The simulation environment to be developed is the first such system capable of generating timely solutions of complex flows over highly unsteady and deformable structures. This has multiple scientific and engineering benefits ranging from the ability to address fundamental questions in evolutionary biology to the design of bio-mimetic structures that draw from the abilities of bats on the wing. The direction provided by the experiment will guide scientists to the key sensitivities of these complex flying systems and provide insight to the complexities of animal flight mechanics. Lastly, the visualization systems will provide a unique tool for the synthesis and management of dynamic data drawn from a wide and disparate variety of data sources each having different qualities.

该研究项目旨在创建一个动态数据驱动的应用程序，旨在提高对一个复杂的生物物理系统的理解-蝙蝠的飞行。该系统是由一个多层次的蝙蝠飞行的层次模拟蝙蝠形态和行为的参数化特征的基础上。模拟在多个物理近似和计算速度级别上运行，并且能够非常快速地解决问题，但需要测量输入以确保保真度和最优性。该输入将以集成的方式提供，从平行的一系列实验中绘制，其中将生成若干离散数据流，包括运动学机翼数据、一系列二维切割平面上的尾流速度数据以及诸如骨骼变形、实验确定的材料特性等其他数据。但仍然具有高响应性。将使用先进的沉浸式可视化环境对数据流进行监控、合成、组合和处理，该环境将用于指导测量和模拟之间的交互，并组织不同的数据流。要开发的模拟环境是第一个这样的系统，能够及时产生复杂的解决方案，高度不稳定和可变形的结构。这具有多种科学和工程效益，从解决进化生物学基本问题的能力到借鉴蝙蝠翅膀能力的仿生结构设计。该实验提供的方向将引导科学家了解这些复杂飞行系统的关键敏感性，并为动物飞行力学的复杂性提供见解。最后，可视化系统将提供一个独特的工具，用于综合和管理从各种各样的数据源中提取的动态数据，每个数据源都具有不同的质量。