PFI (MCA): Developing Data-Assimilation Capability in Engineering Simulation Software Systems

这一创新-职业中期发展伙伴关系(PFI(MCA))项目的更广泛的影响/商业潜力旨在减少计算机模拟结果和物理实验结果之间的差异。数据同化(DA)技术将被开发用于模拟复杂的工程系统，这可能会揭示这种差异的根本原因，并将行业带回他们的产品设计工作流程的轨道上来。通过与商业行业的合作，这个PFI(MCA)项目将使在计算流体动力学(CFD)领域工作的实践工程师能够接触到DA技术，加速创新设计的进步。这个项目还可以通过讨论工程设计和分析使用案例来加强本科生和研究生的学术课程。拟议的PFI(MCA)项目旨在将CFD DA技术从研究环境转移到商业行业。这个项目提出了严格的方法来揭示计算机模拟和物理实验之间差异的原因，并量化预测中的不确定性。对于工程流体流动的分析，DA的正确使用需要DA和CFD算法方面的大量专业知识，这给工程师带来了技术障碍。该项目将使CFD DA成为一个非专家可以使用的设计和分析工具。工业工程师将在当前的产品设计工作流程中评估该技术。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this Partnerships for Innovation - Mid-Career Advancement (PFI (MCA)) project seeks to reduce discrepancies between results from computer simulations and those from physical experimentation. Data assimilation (DA) technology will be developed to simulating complex engineering systems that may uncover the root causes for such discrepancies and place an industry back on track in their product design workflow. By partnering with commercial industry, this PFI (MCA) project will make the DA technology accessible to practicing engineers working in areas of computational fluid dynamics (CFD), accelerating advances for innovative designs. This project may also enhance the academic curricula at both undergraduate and graduate levels by enabling discussion of engineering design and analysis use cases.The proposed PFI (MCA) project aims to transfer and scale up the CFD+DA technology from a research setting to commercial industry. This project proposes rigorous methods for uncovering the causes of discrepancies between computer simulation and physical experimentation and quantifying the uncertainty in a prediction. For analysis of engineering fluid flows, correct use of DA requires significant expertise in both DA and CFD algorithms, presenting technical barriers for engineers. This project will make CFD+DA a design and analysis tool, accessible to non-experts. Industrial engineers will assess the technology in current product-design workflows.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.