CDS&E-ENG: A Novel Approach for Oceanographic Explorations: Multi-Scale Modeling and Simulation using CFD Enabled by AUVs Data

这项拨款的研究目标是通过移动传感器网络收集的数据进行计算，了解海洋运输的基本机制。水的运动为地球化学和生物通量提供能量，并在所有海洋深处的大空间尺度上发生。湍流是海洋流动的自然特征，在沉积物、污染物和营养物等物质如何分散和沉积在周围环境中起着重要作用。尽管进行了广泛的研究，但由于缺乏直接测量，海洋湍流及其对诸如沉积物夹带和搬运等质量搬运过程的影响程度仍然知之甚少。在本研究中，将采用一种多尺度建模和仿真方法，该方法使用由专门设计的自主水下航行器数据支持的计算模型。如果成功，这项研究将大大加强海洋观测，并使以前无法获得的测量成为可能。该项目将结合计算科学和数据科学的最新发展，并将其与经典工作结合起来，成为本科和研究生水平的创新教育计划；这个跨学科的项目将强调对潜在的计算和动力系统过程的基本理解。仅加州大学旧金山分校工程与计算机科学学院的本科生中，少数族裔（非裔美国人、西班牙裔美国人和美国印第安人）占24%，女性占14%。这种多样化的学生群体使得招收少数民族和女性学生进入这个项目。此外，通过该基金支持的外展活动，该项目将在更广泛的人群中培养对计算和动力系统科学的兴趣，并更普遍地促进跨学科的科学和工程文化，这将对所有学生的整个职业生涯产生长期影响。

The research objective of this grant is to understand the fundamental mechanisms responsible for marine transport through computations that are enabled by data collected through a mobile sensor network. The movement of water provides the energy for geochemical and biological fluxes and occurs over large spatial scales at all ocean depths. Turbulence is a natural characteristic of ocean flows and plays an important role in how materials such as sediment, pollutants and nutrients are dispersed and deposited in the surrounding environment. In spite of the extensive studies, ocean turbulence and the extent to which it influences mass transport processes, such as sediment entrainment and transport, remain poorly understood because of the lack of direct measurements. In this research, a multi-scale modeling and simulation approach using computational models that are data-enabled by specially designed autonomous underwater vehicles will be pursued. If successful, this research will significantly enhance the ocean observations and will enable previously unobtainable measurements.This project will incorporate recent developments in computational and data-enabled sciences and will combine them with classical work into an innovative educational program at the undergraduate and graduate levels; this interdisciplinary project will emphasize fundamental understanding of the underlying computational and dynamical system processes. UCF's College of Engineering and Computer Science alone has an undergraduate student population of 24 percent minority (African-American, Hispanic, and American Indian) and 14 percent female. This diverse student population enables the recruitment of minority and female students into this project. In addition, through outreach activities supported by this grant, this project will foster an interest in computational and dynamical systems sciences in the broader population and more generally promote an interdisciplinary scientific and engineering culture that will have a long-term impact on all students throughout their careers.