Parallel Adaptive Methods for Modeling Nonequilibrium Fluids and Plasma's

用于模拟非平衡流体和等离子体的并行自适应方法

• 批准号: 9318181
• 负责人: Tamas Gombosi
• 金额: $ 127.04万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-04-01 至 2000-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9318181&HistoricalAwards=false
• 关键词: Parallel; Adaptive; Methods; Modeling; Nonequilibrium

9318181 Gombosi This highly interdisciplinary effort is to develop tools for modeling nonequilibrium fluids and plasmas using adaptively refined grids on parallel supercomputers. The development of parallel adaptive-grid methodology, including effective strategies for load balancing and efficient utilization of high-performance microprocessors, will have a major impact on the solution of problems in all areas of fluid and plasma physics. Specific examples include geospace environment modeling, high-altitude aerodynamics, atmospheric science, nonlinear systems generally and advanced propulsion systems. The first application of this model development will be the development of a global magnetospheric model which will be made available to the magnetospheric physics community. This model will use high-order moments of the Boltzman equation with solutions on a 3D adaptively-refined, unstructured mesh which will allow multiple scale analyses, including sub-grid- size kinetic effects. ***

9318181 Gombosi 这项高度跨学科的工作是开发在并行超级计算机上使用自适应细化网格对非平衡流体和等离子体进行建模的工具。 并行自适应网格方法的发展，包括负载平衡的有效策略和高性能微处理器的高效利用，将对流体和等离子体物理所有领域的问题的解决产生重大影响。 具体示例包括地球空间环境建模、高空空气动力学、大气科学、一般非线性系统和先进推进系统。 该模型开发的第一个应用将是开发全球磁层模型，该模型将提供给磁层物理界。 该模型将使用玻尔兹曼方程的高阶矩以及 3D 自适应细化的非结构化网格上的解，这将允许进行多尺度分析，包括子网格尺寸的动力学效应。 ***