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: 1743178
• 负责人: Kenneth Jansen
• 金额: $ 32.18万
• 依托单位: University of Colorado at Boulder
• 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 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1743178&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.

流体动力学是一个跨越大量科学和工程问题领域的广泛领域，对于各种重要应用至关重要，包括制造，气候分析，环境，健康，运输，推进和发电。为了支持流体动力学研究和应用社区，该项目试图吸引社区，以概念化未来的研究所，即计算流体动力学软件基础架构（CFDSI），该研究所将广泛开发，共享和应用计算工具，以从实验和计算来源中生成和分析流体动态数据的生成和分析。 在其概念化之后，CFDSI将创建和扩展工具，以定义问题，解决方案和分析计算和实验研究。主要目的是通过一组可扩展的软件组件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，科学家和工程师能够准确预测和了解复杂的流体流动的行为将如何增强，对整个流体动力学作用的广泛应用中的设计，创新和发现产生重大影响。 CFDSI甚至有可能通过为学生提供多种资源来进行流体动力调查，从而对K-12，本科和研究生教育产生影响。概念化的研究所将通过降低或消除与这些资源的采用和使用相关的障碍或消除障碍或消除这些资源的障碍或消除这些资源的各种强大的模拟，数据和分析资源。软件基础架构将对流体动力学研究社区产生许多积极影响。为此，CFDSI将在高度可持续的软件开发环境中将流体动力学的最佳研究与数据科学/分析的最佳研究联系起来。具体而言，CFDSI将：1）增强流体动态数据资源的传播和CFD建模的进步，2）促进在流体动态研究中的协作，尤其是计算和实验研究人员之间的协作，3）启用详细的比较不同数据源之间的详细比较，计算模型的详细验证以及对先进的CFD模型的详细应用，4）较高的CFD模型，并复杂化，以及编号，方法和编码，并在方法中，和编码，方法，方法和编码，并在“方法”中，和编码，方法和编码，并在方法中，和编码，方法，以及编号，和编码，以及编号，方法，以及编号，和编号，以及编号，和编号，并在中心模型，以及编号，和编码，以及编号，和编号，并在计算模型中使用，并使用了详细的验证，并使用了详细的验证，并使用了详细的模型。等不确定性量化，数据压缩和优化，6）为学生提供了计算和实验性的先进CFD方法和数据资源的访问，以增强流体动力学中的研究生和本科教育，7）提高当前和未来CFD软件的可持续性，以及8）促进流体动力学数据集成立的体液的管理。这些结果将大大提高流体动力学研究的有效性和生产率。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）使其更加协作，2）提高研究结果的可信度，3）启用发现，4）降低提出新的研究问题的成本，以及5）通过降低与访问和采用CFD COD和大型数据集相关的障碍来多样化并扩大流体动力学社区。软件组件将设计用于实验和计算数据库的分析以及直接集成到CFD代码中。后者将使原位数据分析能够解决数据创建率（求解器绩效）与数据存储速率/量（I/O资源）之间日益增长的鸿沟。经过概念化和实施后，CFDSI将启用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广泛应用领域，包括制造气候，环境，健康，运输，推进和发电（包括常规，替代性和核源），这将影响我们的经济。此外，CFDSI将通过在持续的仿真或实验期间建立与原位数据分析的链接，并通过建立与原位数据分析和问题重新定义的链接来关闭思想，洞察力，发现和设计的能力。最后，CFDSI将通过作为模型和类似领域特异性软件基础架构的模型和起点来影响由部分微分方程（例如固体机制）影响的其他问题领域。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子和更广泛的影响来评估通过评估的支持。