Collaborative Research: NISC SI2-S2I2 Conceptualization of CFDSI: Model, Data, and Analysis Integration for End-to-End Support of Fluid Dynamics Discovery and Innovation

合作研究：NISC SI2-S2I2 CFDSI 概念化：模型、数据和分析集成，用于流体动力学发现和创新的端到端支持

• 批准号: 1743185
• 负责人: Mark Shephard
• 金额: $ 6.5万
• 依托单位: Rensselaer Polytechnic Institute
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-03-01 至 2020-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1743185&HistoricalAwards=false
• 关键词: Collaborative; Research; NISC; SI2; S2I2

Fluid dynamics is a broad field spanning a large number of science and engineering problem domains that are critical to a wide variety of important applications including manufacturing, climate analysis, environment, health, transportation, propulsion, and power generation. To support the fluid dynamics research and applications community, this project seeks to engage the community in order to conceptualize a future institute, the Computational Fluid Dynamics Software Infrastructure (CFDSI), that will broadly develop, share, and apply computational tools for the generation and analysis of fluid dynamics data from both experimental and computational sources. After its conceptualization, CFDSI will create and extend tools for problem definition, solution, and analysis of both computational and experimental investigations. The primary objective is to facilitate the sharing of computational tools and data resources through a rich and extensible set of software components that can be integrated into a wide range of existing fluid dynamics analysis tools. By improving the efficiency of tools and their ease of use, the ability for scientists and engineers to accurately predict and understand how complex fluid flows behave will be enhanced, having a significant impact on design, innovation, and discovery across the vast range of applications where fluid dynamics plays a role. CFDSI even has the potential to impact on K-12, undergraduate and graduate education by making a wide variety of resources available to students for fluid dynamics investigations.The conceptualized institute will make a wide variety of powerful simulation, data, and analysis resources available to the fluid dynamics research community by lowering or eliminating barriers associated with the adoption and use of these resources. The software infrastructure will have a number of positive impacts on the fluid dynamics research community. To do so, CFDSI will connect the best research in fluid dynamics to the best research in data science/analytics within a highly sustainable software development environment. Specifically, CFDSI will: 1) enhance the dissemination of fluid dynamics data resources and advances in CFD modeling, 2) facilitate collaboration in fluid dynamics research, especially between computational and experimental researchers, 3) enable detailed comparisons between different data sources and detailed validation of computational models, 4) ease the use of advanced CFD models, methods, and codes in new and complex applications, 5) facilitate advanced analytics, such as uncertainty quantification, data compression, and optimization, 6) provide students access to advanced CFD methods and data resources, both computational and experimental, to enhance both graduate and undergraduate education in fluid dynamics, 7) improve the sustainability of current and future CFD software, and 8) facilitate the management of the growing body of fluid dynamics data sets. These outcomes will greatly enhance the effectiveness and productivity of research in fluid dynamics. In particular, they will transform the conduct of fluid dynamics research by: 1) making it more collaborative, 2) enhancing the credibility of research results, 3) enabling discovery, 4) reducing the cost of pursuing new research questions, and 5) diversifying and widening the fluid dynamics community through lowering the barriers associated with accessing and adopting CFD codes and large data sets. Software components will be designed for both analysis of experimental and computational databases as well as direct integration into CFD codes. The latter will enable in situ data analytics to address the growing chasm between data creation rate (solver performance) and data storage rate/volume (I/O resources). After conceptualization and implementation, CFDSI will enable more effective fluid dynamics research and thus impact the wide variety of application domains in which fluid dynamics is critical including manufacturing climate, environment, health, transportation, propulsion, and power generation (including conventional, alternative, and nuclear sources) which will, in turn, strongly impact our economy. Additionally, CFDSI will provide the capability for immersive simulations and experiments that will close the loop on idea, insight, discovery, and design through establishing links to in situ data analytics and problem redefinition during ongoing simulations or experiments. Finally, CFDSI will impact other problem domains governed by partial differential equations (e.g. solid mechanics) by serving as a model and starting point for similar domain-specific software infrastructures.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.

流体动力学是一个涵盖大量科学和工程问题领域的广阔领域，对于制造、气候分析、环境、健康、运输、推进和发电等各种重要应用至关重要。为了支持流体动力学研究和应用社区，该项目旨在吸引社区参与，以概念化未来的研究所，即计算流体动力学软件基础设施 (CFDSI)，该研究所将广泛开发、共享和应用用于生成和应用的计算工具。分析来自实验和计算来源的流体动力学数据。 概念化后，CFDSI 将创建和扩展用于问题定义、解决方案以及计算和实验研究分析的工具。主要目标是通过一组丰富且可扩展的软件组件来促进计算工具和数据资源的共享，这些软件组件可以集成到各种现有的流体动力学分析工具中。通过提高工具的效率及其易用性，科学家和工程师准确预测和理解复杂流体流动行为的能力将得到增强，从而对各种应用的设计、创新和发现产生重大影响。流体动力学发挥了作用。 CFDSI 甚至有可能通过为学生提供用于流体动力学研究的各种资源来影响 K-12、本科生和研究生教育。这个概念化的研究所将为学生提供各种强大的模拟、数据和分析资源。通过降低或消除与采用和使用这些资源相关的障碍来促进流体动力学研究界的发展。软件基础设施将对流体动力学研究界产生许多积极影响。为此，CFDSI 将在高度可持续的软件开发环境中将流体动力学领域的最佳研究与数据科学/分析领域的最佳研究联系起来。具体而言，CFDSI 将：1) 加强流体动力学数据资源的传播和 CFD 建模的进步，2) 促进流体动力学研究领域的协作，特别是计算和实验研究人员之间的协作，3) 实现不同数据源之间的详细比较以及不同数据源之间的详细验证计算模型，4) 在新的复杂应用中轻松使用先进的 CFD 模型、方法和代码，5) 促进高级分析，例如不确定性量化、数据压缩和优化，6) 为学生提供先进的 CFD 方法和数据资源，计算和实验，以加强流体动力学领域的研究生和本科生教育，7) 提高当前和未来 CFD 软件的可持续性，8) 促进对不断增长的流体动力学数据集的管理。这些成果将极大地提高流体动力学研究的有效性和生产力。特别是，它们将通过以下方式改变流体动力学研究的行为：1）使其更具协作性，2）提高研究结果的可信度，3）促进发现，4）降低追求新研究问题的成本，以及5）多样化通过降低与访问和采用 CFD 代码和大型数据集相关的障碍来扩大流体动力学社区。软件组件将设计用于分析实验和计算数据库以及直接集成到 CFD 代码中。后者将使现场数据分析能够解决数据创建率（求解器性能）和数据存储率/容量（I/O 资源）之间日益扩大的鸿沟。在概念化和实施之后，CFDSI 将实现更有效的流体动力学研究，从而影响流体动力学至关重要的各种应用领域，包括制造气候、环境、健康、运输、推进和发电（包括传统、替代和发电）核资源），这反过来又会对我们的经济产生重大影响。此外，CFDSI 将提供沉浸式模拟和实验功能，通过在正在进行的模拟或实验过程中建立与现场数据分析和问题重新定义的链接，实现想法、洞察、发现和设计的闭环。最后，CFDSI 将通过充当类似特定领域软件基础设施的模型和起点，影响由偏微分方程（例如固体力学）控制的其他问题领域。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准。