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

该项目旨在发现新的分布式模拟、可视化和分析工具，用于与多值量的科学数据及其测量的生物现象进行交互和理解。这些工具的开发和评估将与生物学家密切合作，研究三个与流动相关的独立问题：冠状动脉病变和血栓形成，蝙蝠飞行的机制和进化，以及鱼类推进和机动的机制和进化。工作包括增进对这三个生物应用领域的基本科学理解。此外，利用三维数字粒子图像测速仪(DPIV)和高速视频获取三维运动和流动数据的实验方法将推动研究流动与其他生物和人造系统的相互作用，并可用于预测、风险评估和决策。针对生物问题的模拟和建模工作将创造耦合非定常流动和结构计算的新模拟方法，将不确定性纳入非定常模拟结果的新方法，结合非定常实验和模拟数据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。

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.