CAREER: Discoveries in compressible turbulence and turbulent mixing through Petascale simulations and analysis

职业：通过千万亿次模拟和分析发现可压缩湍流和湍流混合

• 批准号: 1054966
• 负责人: Diego Donzis
• 金额: $ 42.12万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-02-15 至 2017-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1054966&HistoricalAwards=false
• 关键词: CAREER; Discoveries; compressible; turbulence; turbulent

ABSTRACTCompressible turbulent flows, characterized by a wide range of spatial and temporal scales,occur in many natural (supernovae explosions, volcanic eruptions, solar wind) and engineeringsystems (commercial and supersonic flight and propulsion, reacting flows). Due to their complexity,though, our fundamental understanding remains very limited, especially at high Reynolds numbers,restricting our ability to predict natural phenomena and design better engineering devices.This research advances the knowledge of compressible turbulence only possible through massivesimulations enabled by Cyberinfrastructure pushing, in turn, the frontiers of computational fluiddynamics. The simulations, unprecedented in size and detail, require novel software that efficientlyuses hundreds of thousands of processors at Petascale levels and set the path for simulations at evenlarger scales. The emphasis is in extreme parallelism exploring advanced features likely to existin future architectures including communication libraries, programming models and accelerators.The tremendous details unveiled by the simulations provide a unique opportunity for investigatorsto understand long-standing issues such as small-scale universality, inertial-range scaling, intermittency and largely unexplored areas such as mixing and dispersion of contaminants. Results aremade available through a portal which allows the community to obtain flow fields, statistics andcodes, and analyze massive datasets remotely.Research and education are integrated at the interface between high-performance computing(HPC) and fluid mechanics. The educational goal is to (i) inspire students, including those fromunderrepresented groups, to pursue careers in HPC and fluid mechanics, and (ii) educate futurescientists and engineers capable of deploying Petascale solutions to important societal and technological problems. Educational and research activities are integrated through curricular innovation,undergraduate research and the portal which is also used to disseminate results to a broader audience.

在许多天然（超新星爆炸，火山喷发，太阳风）和工程系（商业和超音速飞行和推进，反应流）中，以各种空间和时间尺度为特征，以各种空间和时间尺度为特征，其抽象结合的湍流（商业和超级爆炸）发生在许多范围内，反应流动。然而，由于它们的复杂性，我们的基本理解仍然非常有限，尤其是在较高的雷诺数字上，限制了我们预测自然现象和设计更好的工程设备的能力。这项研究仅通过cyberinfrasture的推动，依次推动计算机流体的前沿才能通过Cyber​​infrasture启动可压缩湍流的知识。这些模拟在大小和细节上是前所未有的，需要新颖的软件，以有效地在Petascale级别上有成千上万的处理器，并在Extlarger量表下为模拟树立了途径。这种重点是在极端平行的过程中探索可能存在于未来架构在内的高级功能，包括沟通库，编程模型和加速器。模拟揭示的巨大细节为研究人员提供了一个独特的机会，可以理解长期存在的问题，例如小规模普遍性，惯性范围缩放，间歇性，间歇性，杂交和大量未探索的领域，例如混合竞争和分散剂。通过门户提供的结果可供选择，该门户允许社区获得流场，统计和编码，并远程分析大规模数据集。研究和教育是在高性能计算（HPC）和流体机械师之间的接口上集成的。教育目标是（i）激发学生，包括从事范围内的团体的学生，从事HPC和流体力学的职业，以及（ii）教育能够将Petascale解决方案部署到重要社会和技术问题的期货主义者和工程师。教育和研究活动是通过课程创新，本科研究和门户网站来整合的，该门户也用于向更广泛的受众传播结果。