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: 0540266
• 负责人: David Laidlaw
• 金额: --
• 依托单位: Brown University
• 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=0540266&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动态数据驱动的应用程序，旨在改善对复杂生物物理系统的理解 - 蝙蝠的飞行。该系统由基于BAT形态和行为的参数特征对BAT飞行进行多级层次模拟。该仿真以多个级别的物理近似和计算速度运行，并且能够具有非常快速的解决方案，但需要从测量中输入以确保忠诚度和最佳性。该输入将以整合的方式提供，从一系列平行的实验中得出，其中将生成几个离散的数据流，包括运动翼数据，一系列二维切割平面上的唤醒速度数据，以及其他数据，以及诸如骨变形，实验性的材料的材料等。这些数据将导致仿真的求解，但仍然可以进行高高的求解，但仍在高高的范围。将使用高级沉浸式可视化环境对数据流进行监视，合成，组合和处理，该环境将用于指导测量和仿真之间的相互作用，并组织不同的数据流。要开发的仿真环境是第一个能够在高度不稳定和可变形的结构上生成及时的复杂流量解决方案的系统。这具有多种科学和工程的好处，从解决进化生物学的基本问题到设计的生物模拟结构的设计，这些结构从机翼上的蝙蝠的能力中汲取了。实验提供的方向将指导科学家对这些复杂的飞行系统的关键敏感性，并洞悉动物飞行力学的复杂性。最后，可视化系统将为从具有不同质量的各种数据源中绘制的动态数据合成和管理提供独特的工具。