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Advanced Computational Techniques in Boundary Element Analysis

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:
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
项目状态:
已结题
起止时间:
1991-07-15 至 1994-12-31

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中文摘要
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英文摘要
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.
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ITR: Collaborative Research - ASE - (sim+dmc): Image-based Biophysical Modeling: Scalable Registration and Inversion Algorithms and Distributed Computing
  • 批准号:
    0427464
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $0.0万
  • 财政年份:
    2004
  • 负责人:
    David Keyes
  • 依托单位:
ITR/AP COLLABORATIVE RESEARCH: Real Time Optimization for Data Assimilation and Control of Large Scale Dynamic Simulations
  • 批准号:
    0352334
  • 项目类别:
    Standard Grant
  • 资助金额:
    $0.0万
  • 财政年份:
    2003
  • 负责人:
    David Keyes
  • 依托单位:
ITR/AP COLLABORATIVE RESEARCH: Real Time Optimization for Data Assimilation and Control of Large Scale Dynamic Simulations
WORKSHOP: Parallel CFD'99 International Conference
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海外基金
Computational Methods for Analyzing Toponome Data