EMSW21-RTG: Laboratory and Mathematical Fluid Dynamics: Experiments, Computation and Modeling

该研究培训项目涉及两名博士后研究员三年，3名研究生4年和10名本科生5年，将在北卡罗来纳州联合流体实验室及其周围进行实验和理论流体动力学研究。 具体而言，研究和培训将侧重于固体和流体之间的复杂相互作用，这些相互作用产生于各种生物和环境相关的情景，包括具有强烈和急剧密度分层的系统，如发生在海洋和大气中的系统以及与微生物学相关的高粘性系统。 这项工作将新的实验现象与量化的数学模型结合在一起。流体动力学是理解许多物理系统在广泛的长度和时间尺度上的行为的核心，这些物理系统从我们的大气层和海洋到最小的游泳微生物。 特别是，了解身体如何移动流体，进而了解流体如何影响身体，对于了解我们的环境如何运作至关重要，这对于开始评估人类对气候的影响是必要的。 在大尺度上，海洋和大气是复杂的流体系统，具有强烈的密度变化，相关的现象是复杂的，对建立更量化的气候理解至关重要。 在较小的尺度上，生物系统沐浴在具有不同粘度的流体中，这些流体通过称为纤毛的细小毛发状结构的运动而移动。 开发量化的分析和计算模型来预测这些动力学对于改善对肺功能和囊性纤维化等疾病的理解具有意义。 该研究培训补助金致力于提高固体和复杂流体系统之间相互作用的实验和理论理解。

This Research Training project involves two postdoctoral fellows for three years, 3 graduate students for 4 years and 10 undergraduates for 5 years which will perform research in experimental and theoretical fluid dynamics occurring in and around the University of North Carolina Joint Fluids Laboratory. Specifically, the research and training will be focused upon the complicated interaction between solid bodies and fluids arising in a variety of biologically and environmentally relevant scenarios including systems with strong and sharp density stratification such as occurring in the oceans and atmosphere as well as in highly viscous systems relevant to microbiology. The effort brings together new experimental phenomena with quantified mathematical modeling.Fluid dynamics is central to understanding the behavior of many physical systems on a wide range of length and time scales spanning our atmosphere and oceans down to the smallest swimming micro-organisms. In particular, understanding how a body moves fluid and in turn how the fluid can impact a body is fundamental to understanding how our environment works, which is necessary to even begin to assess human impacts on climate. Our the large scales, the oceans and atmospheres are complicated fluid systems possessing strong density variations, and the associated phenomena are complex and central to building a more quantified understanding of climate. On smaller scales, biological systems are bathed in fluids with varying viscosities which are moved via the motion of small hair-like structures called cilia. Developing quantified analytical and computational models to predict these dynamics has implications for improved understanding of lung function and disease such as Cystic Fibrosis. This research training grant is dedicated towards improved experimental and theoretical understanding of the interaction between solid bodies and complicated fluid systems.