Research Initiation: Optimization of Power Plant Fuel Utilization with the CYBER-205 Supercomputer

研究启动：利用 CYBER-205 超级计算机优化发电厂燃料利用

• 批准号: 8504626
• 负责人: Thomas Downar
• 金额: $ 6.4万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1985
• 资助国家: 美国
• 起止时间: 1985-06-01 至 1987-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8504626&HistoricalAwards=false
• 关键词: Research; Initiation; Optimization; Power; Plant

This research deals with the codes currently used to perform neutronic analysis of the nuclear reactor core and the use of enhanced vectorization capabilities of the supercomputer to the analysis. The first phase of the work is to determine the most efficient manner of solving the core neutronics problem using the supercomputer. Specifically, computer code SIMULATE is used as a means of investigating and developing the necessary vectorized algorithms for the core neutronic problem. Optimization techniques follow. Models are developed to solve the reactor assembly assignment and control the poison distribution problem.

本研究涉及目前用于核反应堆堆芯中子分析的代码，以及使用增强的超级计算机矢量化能力进行分析。第一阶段的工作是确定使用超级计算机解决核心中子问题的最有效方法。具体地说，计算机代码SIMULATE被用作研究和开发核心中子问题所需的矢量化算法的手段。优化技术紧随其后。建立了求解反应堆装配分配和控制毒物分布问题的模型。