Advanced Computational Techniques in Boundary Element Analysis

边界元分析中的先进计算技术

• 批准号: 9020733
• 负责人: David Keyes
• 金额: $ 9.43万
• 依托单位: Yale University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-07-15 至 1994-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9020733&HistoricalAwards=false
• 关键词: Advanced; Computational; Techniques; Boundary; Element

This is a joint Clarkson-Yale University project for the investigation of novel computational techniques to exploit intrinsic characteristics of boundary element analysis (BEA), for truly large scale problems on contemporary/emerging computers, removing bottlenecks to high performance computing by examining steps currently consuming up to 95% of overall computational resources. Special regard is given to the effectiveness of these techniques in the design process where solution of sequences of evolving problems and design sensitivity analyses are requires. Iterative equation solving, vector/parallel numerical integration, and iterative reanalysis and design sensitivity analysis, in a high performance computing environment, is being investigated. The knowledge gained, will facilitate the use of significantly more refined BEA simulations, predicting system response with increased fidelity, earlier in the engineering process, add to the general efficiency of BEA vis-a-vis finite element and finite difference analysis, and help make tractable the coupling of accurate three-dimensional simulation with programmed intelligence in overall analysis and optimization systems of practical utility in the mainstream of engineering and design.

这是一项联合克拉克森Yale大学项目，用于调查新型计算技术以利用边界元素分析（BEA）的内在特征（BEA），用于当代/新兴计算机上真正的大规模问题，通过检查当前消耗多达95％整体计算资源的步骤，将瓶颈删除到高性能计算。 对这些技术在设计过程中的有效性给出了特殊的考虑，在该过程中，需要解决不断发展的问题和设计灵敏度分析的序列。 在高性能计算环境中，正在研究迭代方程求解，矢量/平行数值整合以及迭代重新分析和设计灵敏度分析。 获得的知识将有助于使用更精致的BEA模拟，在工程过程中早期预测系统的响应，并增加了Vis-A-Vis有限元素的一般效率和有限的差异分析，并有助于使精确的三维模拟与工具进行整体分析和优化的系统效率和优化系统，并有助于使实用的三维模拟耦合。