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Collaborative Research: A Langevin Subgrid Scale Closure and Discontinuous Galerkin Exascale Large Eddy Simulation of Complex Turbulent Flows

合作研究：复杂湍流的 Langevin 亚网格尺度闭合和不连续 Galerkin 百亿亿次大涡模拟

基本信息

批准号：
1603589
负责人：
Dimitri Mavriplis
金额：
$ 9.95万
依托单位：
University of Wyoming
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2016
资助国家：
美国
起止时间：
2016-08-01 至 2020-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1603589&HistoricalAwards=false
关键词：
Collaborative Research Langevin Subgrid Scale

项目摘要

1603131/1603589/1604142 Givi/Mavriplis/Girimaji Turbulent combustion is encountered in nearly all energy conversion devices, such as internal combustion engines, gas turbines, boilers, and gas burners. Turbulent combustion involves many complex physical and chemical phenomena. The ability to predict accurately the turbulent combustion process is critical to the design and optimization of combustion devices for achieving low emissions and high efficiency. This research will develop accurate computer models and numerical algorithms that can reveal the fundamental turbulent combustion processes and allow industry to design clean combustion devices, thus benefiting the environment. Extensive code development and computer simulations will be conducted. Additionally, this project will also include numerous education and outreach activities, including the development of an Interdisciplinary Computational Science Minor to provide additional courses on high-performance computing, student training in the multidisciplinary field of Computational Modeling and Simulation, K-12 outreach through the INVESTING NOW and CAMP-SOAR programs, and recruitment of students from minority and under-represented groups through the EXCEL program.In an effort to increase the accuracy of turbulent combustion simulation, this award provides funding to develop a new Langevin subgrid scale (SGS) closure and to implement it with a new discontinuous Galerkin numerical scheme for large eddy simulation (LES) of turbulent flows. The former provides accurate modeling of the SGS transport for a wide range of turbulent flows, including compressible and chemically reactive. The combined methodology will be put together in a package in which the available computational cores are utilized in a dynamic, adaptive manner. This is an important concept in high performance computing necessary for massively parallel simulations up to petascale, and towards (future) exascale. The new LES tool will be employed for predictions of several turbulent flows. The computational requirements for the proposed LES, in its most sophisticated form and utilizing the highest intended resolution, will be several orders of magnitude less than that required for direct numerical simulations. When successfully completed, this research will have a significant impact on turbulent combustion research. It will be extremely valuable for both industry and government agencies. The outcome of this work can also positively impact other disciplines, such as climate and atmospheric modeling or bioengineering.

湍流燃烧在几乎所有的能量转换装置中都会遇到，例如内燃机、燃气轮机、锅炉和燃气燃烧器。湍流燃烧涉及许多复杂的物理和化学现象。准确预测湍流燃烧过程的能力对于燃烧装置的设计和优化以实现低排放和高效率是至关重要的。这项研究将开发精确的计算机模型和数值算法，可以揭示基本的湍流燃烧过程，并允许工业设计清洁的燃烧装置，从而有益于环境。将进行广泛的代码开发和计算机模拟。此外，该项目还将包括许多教育和推广活动，包括跨学科计算科学未成年人的发展，以提供高性能计算的额外课程，计算建模和模拟多学科领域的学生培训，通过INVESTING NOW和CAMP-SOAR计划进行K-12推广，通过EXCEL程序从少数民族和代表性不足的群体中招收学生。为了提高湍流燃烧模拟的准确性，该奖项为开发新的朗之万次网格尺度（SGS）闭合提供资金，并将其与湍流大涡模拟（LES）的新间断Galerkin数值方案一起实施。前者提供了精确的建模SGS运输范围广泛的湍流，包括可压缩和化学反应。组合的方法将放在一起，在一个包中，可用的计算核心是利用一个动态的，自适应的方式。这是一个重要的概念，在高性能计算所需的大规模并行模拟高达千万亿次，并对（未来）亿亿次。新的LES工具将用于几个湍流的预测。所提出的LES的计算要求，在其最复杂的形式，并利用最高的预期分辨率，将是几个数量级小于直接数值模拟所需的。这项研究的成功完成将对湍流燃烧研究产生重大影响。这对行业和政府机构都非常有价值。这项工作的成果也可以积极影响其他学科，如气候和大气建模或生物工程。