Collaborative Research: Petascale Computing, Visualization, and Science Discovery of Turbulent Sooting Flames

提案标题：合作研究：湍流烟尘火焰的千万亿级计算、可视化和科学发现首席研究员：IM，Hong G.[牵头]机构：密歇根大学安娜堡提案编号：oci-0904660首席调查员：特罗夫，阿诺德C学院：马里兰大学园区提案编号：oci-0904480首席调查员：丹尼尔C.机构：宾夕法尼亚州立大学园区提案编号：oci-0904649首席调查员：陆天峰研究所：康涅狄格大学提案编号：oci-0904771首席调查员：桑卡兰，拉曼南研究所：田纳西诺克斯维尔大学提案编号：oci-0904818关刘机构：加州大学戴维斯分校提案编号：OCI-0905008该提案将使用2009年《美国复苏和再投资法案》(公法第111-5号)提供的资金授予。燃烧产生的烟尘会影响能源效率、环境和人类健康，因此控制烟尘是一个主要的技术和社会问题。这项研究旨在通过Peta-Flop计算实现从湍流燃烧中预测碳烟。一个由六个研究小组组成的团队正在合作开发一个Peta-Flop软件包，该软件包将以前所未有的细节和真实感捕捉湍流烟尘火焰的物理和化学。这些研究工作有望使我们对与能源转换和污染物控制有关的许多重要科学问题的基本认识取得突破。这里开发的综合软件包将允许详细考虑气相化学、烟尘形成和辐射换热现象。它将扩展以前的teraflop代码，通过增强网格、算子和方程级别的并行性，用于湍流燃烧的直接数值模拟(DNS)。其他目标包括：减少不同碳氢化合物燃料产生碳烟的化学动力学机制；允许任意光学厚度的气体和碳烟颗粒光谱分辨辐射换热模型；基于分段方法和矩方法的碳烟气溶胶和输送模型；多变量数据集和数据挖掘软件；新的容错和检查点能力；现场可视化；以及自动提取特征和跟踪极限现象，如煤烟火焰的点火/熄灭。新的模拟能力将在实验室规模的高雷诺数和达姆克勒数的湍流火焰中进行测试。这项合作研究将通过吸引新一代学生从事多学科的计算科学和工程，从而提高国家-S的竞争力。教师、学生和由此产生的软件开发将受益于计算机科学和领域科学之间的跨学科交流，这是确保有效地设计和优化代码所必需的。软件的传播将通过开放源码许可证进行。该项目的多学科、多机构方面自然会带来许多赞助高中和本科生研究项目的机会。这些活动还将补充和受益于与世界各地其他研究小组在燃烧研究以及计算机科学方面的密切合作。

Proposal Title: Collaborative Research: Petascale Computing, Visualization, and Science Discovery of Turbulent Sooting Flames Principal Investigator: Im, Hong G. [Lead] Institution: University of Michigan Ann Arbor Proposal No: OCI-0904660 Principal Investigator: Trouve, Arnaud C Institution: University of Maryland College Park Proposal No: OCI-0904480 Principal Investigator: Haworth, Daniel C. Institution: Pennsylvania State Univ University Park Proposal No: OCI-0904649 Principal Investigator: Lu, Tianfeng Institution: University of Connecticut Proposal No: OCI-0904771 Principal Investigator: Sankaran, Ramanan Institution: University of Tennessee Knoxville Proposal No: OCI-0904818 Principal Investigator: Ma, Kwan-Liu Institution: University of California-Davis Proposal No: OCI-0905008 This proposal will be awarded using funds made available by the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). Energy efficiency, the environment, and human health can be affected by combustion-generated soot, so controlling soot is a major technological and societal concern. This research is directed toward achieving soot prediction from turbulent combustion by using peta-flop computing. A team of six research groups is working together to develop a peta-flop software package that will capture the physics and chemistry of turbulent sooting flames at an unprecedented level of detail and realism. These research efforts are expected to lead to breakthroughs in our fundamental understanding of many important scientific issues related to energy conversion and pollutant control. The comprehensive software package developed here will allow detailed consideration of gas-phase chemistry, soot formation, and radiative heat transfer phenomena. It will extend a previous teraflop code for direct numerical simulation (DNS) of turbulent combustion by enhancing parallelism at the grid, operator, and equation levels. Other goals include reduced chemical-kinetic mechanisms for soot formation associated with different hydrocarbon fuels; spectrally resolved radiative heat-transfer models for gases and soot particles allowing arbitrary optical thickness; a soot aerosol and transport model based on the combination of sectional and moment methods; multivariate dataset and data-mining software; novel fault tolerance and checkpoint capabilities; in-situ visualization; and automated feature extraction and tracking of limit phenomena such as ignition/extinction in sooting flames. The new simulation capability will be tested in laboratory-scale turbulent flames at high Reynolds and Damköhler numbers. This collaborative research will enhance the nation?s competitiveness by engaging a new generation of students in multi-disciplinary computational science and engineering. Faculty, students, and the resulting software development will benefit from the interdisciplinary interchange of computer science and domain science necessary to ensure that the code is designed and optimized efficiently. Dissemination of the software will occur through an open-source license. The multi-disciplinary, multi-institutional aspects of the project will naturally lead to a number of opportunities for sponsoring high school and undergraduate student research programs. The activities will also complement and benefit from close collaboration with other research groups worldwide in combustion research as well as in computer science.