CDS&E: Studying Multiscale Fluid Turbulence via Open Numerical Laboratories

CDS

• 批准号: 1507469
• 负责人: Charles Meneveau
• 金额: $ 37.96万
• 依托单位: Johns Hopkins University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-07-01 至 2019-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1507469&HistoricalAwards=false
• 关键词: CDS& Studying; Multiscale; Fluid; Turbulence

1507469(Meneveau)The goal of this project is to discover new fundamental phenomena in turbulent flow by generating new high fidelity data and by making these new data available to the whole scientific community of the Nation. Basic features of turbulence that depend on the multiple time and length scales observed in turbulent flows will be explored, and software tools that enable such analysis will be developed and offered to the research community. Lagrangian chaos and transition to turbulence will be studied using datasets arising from massive computer simulations that are ingested into web-accessible, open numerical laboratories. It is known that the transition to turbulence occurs through a sequence of phenomena characterized by high spatio-temporal complexity. However, very little is known about how Lagrangian chaos manifests itself at the multiple scales of turbulence, and how transitional behavior of turbulence may be better characterized. Turbulence also is known to contain vortical structures at the smallest scales, and at large-scales. This project aims to answer fundamental questions about the hierarchical organization of vortical structures at multiple scales and their relationship to the energy cascade. The co-PIs have developed an open, computational data-enabled turbulence laboratory where the entire space-time data is available to the wider research community. The project will further develop multiscale versions of the 4D flow datasets, effectively adding a 5th dimension (scale) to the data. While the currently available resource at Johns Hopkins is focused on isotropic turbulence, the proposed effort will extend the data to other more complex cases than isotropic turbulence, like channel flow data. Availability of data and availability of analysis tools will enable a step change in turbulence research, possibly transforming the way researchers work in this area by democratizing access to high-quality simulation data. Educational modules, mostly based on Matlab, will also allow students to query simulation datasets in unprecedented detail.

1507469（Meneveau）该项目的目的是通过产生新的高保真数据，并使这些新数据可用于全国整个科学界，从而发现动荡流中的新基本现象。 将探索取决于在湍流中观察到的多个时间和长度尺度的湍流的基本特征，并将为研究社区开发并提供能够提供此类分析的软件工具。 Lagrangian混乱和向湍流的过渡将使用大量计算机模拟引起的数据集进行研究，这些数据集被摄入到可访问Web的开放数值实验室中。众所周知，向湍流的过渡是通过以高时空复杂性为特征的一系列现象发生的。但是，关于拉格朗日混乱如何在多个湍流中表现出来，以及如何更好地表征湍流的过渡行为。众所周知，湍流还包含最小尺度和大尺度的涡流结构。 该项目旨在回答有关多个尺度上涡流结构等级组织及其与能量级联的关系的基本问题。 Co-Pis开发了一个开放的，具有计算数据的开放性湍流实验室，在该实验室中，整个时空数据可用于更广泛的研究社区。该项目将进一步开发4D流数据集的多尺度版本，从而有效地为数据增加了第五维（比例）。 虽然约翰·霍普金斯（Johns Hopkins）的当前可用资源集中在各向同性湍流上，但提出的工作将把数据扩展到与各向同性湍流（如通道流数据）相比，将数据扩展到其他更复杂的情况。 数据的可用性和分析工具的可用性将使湍流研究的步骤变化，可能通过使访问高质量的模拟数据民主化来改变该领域的研究人员的工作方式。教育模块主要基于MATLAB，还将允许学生以空前的细节查询模拟数据集。