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.

这是一个克拉克森-耶鲁大学的联合项目， 研究新的计算技术， 边界元分析的固有特性， 当代/新兴计算机上真正的大规模问题， 消除高性能计算的瓶颈， 步骤目前消耗高达95%的整体计算 资源 特别注意这些措施的有效性。 技术在设计过程中，解决方案的序列， 需要不断变化的问题和设计敏感性分析。 迭代方程求解，矢量/并行数值积分， 迭代再分析和设计灵敏度分析，在高 性能计算环境，正在研究中。 获得的知识，将大大促进使用 更精确的模拟，预测系统响应， 在工程过程的早期，增加的保真度增加了 有限元和有限差分法的一般效率 差异分析，并帮助使易处理的耦合 具有编程智能的精确三维模拟 在实际应用的总体分析和优化系统中， 在工程和设计的主流中。