STTR Phase II: Parallel Lattice Kinetic Software for High Mach Number Fluid Dynamics

STTR 第二阶段：用于高马赫数流体动力学的并行晶格动力学软件

• 批准号: 0620490
• 负责人: Hudong Chen
• 金额: $ 50万
• 依托单位: Exa Corporation
• 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: 2006-09-01 至 2008-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0620490&HistoricalAwards=false
• 关键词: STTR; Phase; II; Parallel; Lattice

This Small Business Innovation Research (SBIR) Phase II project will produce a novel parallel dynamic rule-based software tool for simulating high Mach number flows of interest for the ground transportation, aerospace and power generation markets. This work couples a multi-disciplinary interplay between algorithm design, modern cluster/grid computer architecture, parallel processing, and software engineering, and employs Lattice-Boltzmann Methods (LBM) with automatically generated grids with up to 100 million computational cells. This new technology will enable virtual design within the ground transportation industry. Secondly, the ability of the parallel lattice kinetic software to address high Mach/Knudsen number problems should open important markets in aerospace, power generation, automotive, and other industries. Additionally, this new technology should establish markets for computer aided engineering (CAE), by numerical simulation of vehicles and powertrain components whose complexity have forced design/optimization using either physical experimentation or semi-empirical rules. The research will help to demonstrate the linkage between fundamental research and industrial applications, and emphasize the importance of non-equilibrium statistical physics methods as a core component in the commercial simulators.

这个小型企业创新研究(SBIR)第二阶段项目将产生一种基于规则的新型并行动态软件工具，用于模拟地面交通、航空航天和发电市场感兴趣的高马赫数流动。这项工作结合了算法设计、现代集群/网格计算机体系结构、并行处理和软件工程之间的多学科相互作用，并采用格子-玻尔兹曼方法(LBM)，自动生成具有多达1亿个计算单元的网格。这项新技术将使地面交通行业的虚拟设计成为可能。其次，并行格子动力学软件处理高马赫/克努森数问题的能力应该会在航空航天、发电、汽车和其他行业打开重要的市场。此外，这项新技术将通过对车辆和动力总成部件进行数值模拟，为计算机辅助工程(CAE)奠定市场，这些部件的复杂性迫使使用物理实验或半经验规则进行设计/优化。这项研究将有助于论证基础研究和工业应用之间的联系，并强调非平衡统计物理方法作为商业模拟器核心组件的重要性。