ITR: (ASE)-(sim+dmc+int): Computational Simulation, Modeling, and Visualization for Understanding Unsteady Bioflows

ITR：(ASE)-(sim dmc int)：用于理解不稳定生物流的计算模拟、建模和可视化

• 批准号: 0427374
• 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: Continuing Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-10-01 至 2009-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0427374&HistoricalAwards=false
• 关键词: ITR; ASE; sim+dmc+int; Computational; Simulation

This project is to discover new distributed simulation, visualization, and analysis tools for interacting with and understanding multi-valued volumes of scientific data and the biological phenomena they measure. The tools will be developed and evaluated in close collaboration with biologists studying three independent flow-related problems: coronary artery lesion and thrombus formation, the mechanisms and evolution of bat flight, and the mechanism and evolution of fish propulsion and maneuvering.The work includes advancing basic scientific understanding in the three biological application areas. In addition, the experimental methodology of acquiring 3D motion and flow data using 3D Digital Particle Image Velocimetry (DPIV) and high-speed video will advance the state of the art for studying flow interactions with other biological and man-made systems and may be used for prediction, risk-assessment and decision-making.The simulation and modeling work to address the biological problems will create new simulation methods for coupling unsteady flow and structure calculations, new methods for incorporating uncertainty into unsteady simulation results, new methods for combining unsteady experimental and simulation data to facilitate comparisons between them, and new methods for filling in gaps in unsteady experimental data.

该项目旨在发现新的分布式仿真，可视化和分析工具，用于与多值科学数据及其测量的生物现象进行交互和理解。这些工具将与研究三个独立的流动相关问题的生物学家密切合作开发和评估：冠状动脉病变和血栓形成，蝙蝠飞行的机制和进化，以及鱼类推进和操纵的机制和进化。这项工作包括推进对三个生物应用领域的基础科学认识。此外，使用3D数字粒子图像测速（DPIV）和高速视频获取3D运动和流动数据的实验方法将推进用于研究流动与其他生物和人造系统的相互作用的现有技术，并且可以用于预测，风险评估和决策-解决生物学问题的模拟和建模工作将产生用于耦合非定常流和结构计算的新的模拟方法，将不确定性纳入非定常模拟结果的新方法，将非定常实验和模拟数据相结合以便于比较的新方法，以及填补非定常实验数据空白的新方法。