Collaborative Research: Large Numerical Simulations of Turbulence and Reynolds, Schmidt and Rossby Number Scalings

合作研究：湍流和雷诺数、施密特数和罗斯贝数缩放的大型数值模拟

• 批准号: 0553602
• 负责人: Katepalli Sreenivasan
• 金额: $ 8万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-06-15 至 2010-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0553602&HistoricalAwards=false
• 关键词: Collaborative; Research; Large; Numerical; Simulations

PROPOSAL NO.: CTS-0553867 / 0553602PRINCIPAL INVESTIGATOR: P-K YEUNG/ K. R. SREENIVASANINSTITUTION: GIT / U. OF MD COLLEGE PARKHIGH RESOLUTION NUMERICAL SIMULATIONS OF TURBULENCE The objectives of this project are to utilize supercomputing power at the highest level to advance understanding of turbulent flows, via innovative and rigorous analyses of large numerical simulation databases, and via systematic sharing of data with a community of collaborators while pushing the frontiers of computational turbulence. Emphasis is placed on the dependence of local fluctuations on scale size in space and time, and on several major non-dimensional parameters that express the effects of a wide range of scales in both fixed and moving frames of reference, of different degrees of molecular diffusion, and of Coriolis forces in a rotating frame. The PIs will conduct high resolution (computational mesh of 4096 cubed, or 69 billion grid points) simulations and interrogate the database using their combined expertise in simulation, theory and experiment to provide definitive answers to fundamental aspects of turbulence, such as intermittency, multifractals, anisotropy, Lagrangian similarity, mixing at high Schmidt numbers, rotating turbulence at low Rossby numbers. Furthermore, the range of new ideas tested and stimulated by the database will be greatly expanded through working with a group of highly regarded researchers, who will be able to access the data hosted at two NSF TeraGrid sites (SDSC and PSC) in a seamless manner. The proposed activity will have wide impact because of the importance of turbulence in many fields of science and engineering, the uniqueness of the simulation database generated using millions of supercomputer hours, and innovative arrangements with at least two NSF-supported supercomputer centers for sharing data effectively with many researchers with varied interests in the US and abroad. Advances in the science of turbulent flow will have long-term impact in many problems important to society, including fossil fuel combustion, marine life in oceanography, and newer technologies such as nanomaterial synthesis, all of which depend on turbulent mixing at the small scales. Graduate students will have unique and inspiring opportunities to work at the forefront of scientific computing and develop broader perspectives by working closely with many distinguished researchers in the field. Similar considerations are expected to motivate qualified undergraduates from under-represented groups.

提案编号：CTS-0553867 /0553602主要制造商：P-K Yeung/ K. R. SREENIVASAN机构：GIT / U。高分辨率湍流数值模拟 该项目的目标是利用最高级别的超级计算能力，通过对大型数值模拟数据库的创新和严格分析，以及通过与合作者社区系统地共享数据，同时推动计算湍流的前沿，来促进对湍流的理解。 重点放在当地的波动尺度大小在空间和时间的依赖性，并在几个主要的无量纲参数，表达了广泛的规模在固定和移动的参考框架，不同程度的分子扩散的影响，并在旋转框架的科里奥利力。 PI将进行高分辨率（4096立方或690亿网格点的计算网格）模拟，并利用他们在模拟，理论和实验方面的综合专业知识查询数据库，以提供湍流基本方面的明确答案，如非线性，多重分形，各向异性，拉格朗日相似性，高施密特数下的混合，低Rossby数下的旋转湍流。 此外，通过与一组备受推崇的研究人员合作，数据库测试和激发的新想法的范围将大大扩展，这些研究人员将能够以无缝的方式访问NSF TeraGrid站点（SDSC和PSC）托管的数据。 由于湍流在许多科学和工程领域的重要性，使用数百万超级计算机小时生成的模拟数据库的独特性，以及与至少两个NSF支持的超级计算机中心的创新安排，以便与美国和国外的许多研究人员有效地共享数据，因此拟议的活动将产生广泛的影响。湍流科学的进步将对许多重要的社会问题产生长期影响，包括化石燃料燃烧、海洋学中的海洋生物以及纳米材料合成等新技术，所有这些都依赖于小尺度的湍流混合。研究生将有独特和鼓舞人心的机会，在科学计算的最前沿工作，并通过与该领域的许多杰出研究人员密切合作，开发更广阔的视野。 类似的考虑预计将激励来自代表性不足群体的合格本科生。