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

合作研究：千万亿级计算、可视化和湍流烟灰火焰的科学发现

• 批准号: 0904480
• 负责人: Arnaud Trouve
• 金额: $ 26.25万
• 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: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0904480&HistoricalAwards=false
• 关键词: Collaborative; Research; Petascale; Computing; Visualization

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.

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:宾夕法尼亚州立大学公园提案编号：OCI-0904649首席研究员：LU，Tianfeng机构：康涅狄格大学提案编号：OCI-09047771首席研究员：田纳西州拉马尼亚尼亚郡桑卡兰机构：田纳西大学KNOXVILL编号：OCI-0905008该提案将使用2009年《美国恢复与再投资法》提供的资金（公法111-5）提供。能源效率，环境和人类健康可能会受到燃烧生成的烟灰的影响，因此控制烟灰是主要的技术和社会关注。这项研究是针对通过使用PETA-Flop计算来从湍流组合实现烟灰预测的。一个由六个研究小组组成的团队正在共同开发一个PETA-Flop软件包，该软件包将以前所未有的细节和现实主义水平捕获湍流的烟雾烟火的物理和化学。预计这些研究工作将导致我们对许多与能量转化和污染物控制有关的许多重要科学问题的基本理解的突破。此处开发的综合软件包将允许详细考虑气相化学，烟灰形成和辐射传热现象。它将通过增强网格，操作员和等价级别的并行性来扩展先前的TERAFLOP代码，以进行湍流组合的直接数值模拟（DNS）。其他目标包括降低与不同碳氢化合物燃料相关的烟灰形成的化学运动机制；用于气体和烟灰颗粒的光谱辐射热转移模型允许任意光学厚度；基于截面和力矩方法的组合的烟雾气溶胶和运输模型；多元数据集和数据挖掘软件；新颖的容错和检查点功能；原位可视化；和自动化特征提取以及限制现象的跟踪，例如烟火火焰中的点火/灭绝。新的仿真能力将在高雷诺和达米尔勒数字的实验室尺度湍流中进行测试。这项合作研究将通过吸引新一代学生参与多学科计算科学和工程学来增强国家的竞争力。教师，学生和由此产生的软件开发将受益于计算机科学和域科学的跨学科互动，以确保代码的设计和优化有效地设计和优化。该软件的传播将通过开源许可进行。该项目的多学科多机构方面自然会为赞助高中和本科生研究计划带来许多机会。这些活动还将与与全球其他研究小组的密切合作以及计算机科学合作。