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ITR: Data Driven Design Optimization in Engineering Using Concurrent Integrated Experiment and Simulation

ITR: Data Driven Design Optimization in Engineering Using Concurrent Integrated Experiment and Simulation
ITR:使用并行集成实验和仿真进行工程数据驱动设计优化
批准号:
0121058
负责人:
Doyle Knight
金额:
$120.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2001
资助国家:
美国
项目状态:
已结题
起止时间:
2001-10-01 至 2004-09-30

项目摘要

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中文摘要
翻译
该方案的重点是开发和验证工程中多准则设计优化(MDO)的创新方法,该方法集成了并行试验和模拟。这种方法被称为数据驱动设计优化方法(DDDOM),它代表了当前工程设计实践的重大变化,即以顺序的方式使用实验和模拟。该方法将利用动态数据驱动应用系统中实验和模拟的固有优势。该方法将在三种情况下的优化设计中得到验证:普通卵形圆柱体的平装进气口,电子元件的冷却系统,以及腰椎脊柱结构。实验和模拟将在罗格斯大学进行。该提案包括一项让高中、本科生和研究生参与的综合教育计划,特别强调妇女和少数族裔。该研究项目将从罗格斯大学工程学院特别项目办公室现有的五个项目中吸引学生。将组成四个研究小组,每个小组的参与者都来自这些项目。这些团队将为研究经验和领导力发展提供独特的机会。代言机构包括波音公司、IBM和新泽西医学与牙科大学。
英文摘要
The proposal focuses on the development and validation of an innovative methodology for Multi-criteria Design Optimization (MDO) in engineering which integrates concurrent experiment and simulation. This methodology, denoted Data Driven Design Optimization Methodology (DDDOM), represents a major change from current engineering design practice which uses experiment and simulation in a sequential manner. The methodology will leverage the inherent advantages of experiment and simulation in a Dynamic Data Driven Application System. The methodology will be validated for the optimal design of three cases: a flush mounted inlet for a generic ogive-cylinder body, a cooling system for electronic components, and a lumbar vertebral spinal structure. The experiments and simulations will be performed at Rutgers University. The proposal includes an integrated educational program involving students at the high school, undergraduate and graduate levels with specific emphasis on women and minorities. The research program will draw students from five existing programs of the Rutgers School of Engineering Office of Special Programs. Four research teams will be formed with participants drawn from each of these programs. These teams will provide a unique opportunity for research experience and leadership development. Endorsing organizations include Boeing, IBM, and the University of Medicine and Dentistry of New Jersey.
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会议论文
DDDAS-SEP: Application of DDDAS to Assessment of Thermal Systems Using Combined Experiment and Simulation
  • 批准号:
    0539152
  • 项目类别:
    Standard Grant
  • 资助金额:
    $4.97万
  • 财政年份:
    2005
  • 负责人:
    Doyle Knight
  • 依托单位:
Proposal for Network Connection of NORDUNET to the NSFNET
JVNC Regional Network Phase II
Connection of the United Kingdom's JANET Network and the United States' NSFnet
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
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  • 批准号:
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  • 项目类别:
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  • 资助金额:
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  • 批准年份:
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  • 负责人:
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  • 依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
  • 批准号:
    61373035
  • 项目类别:
    面上项目
  • 资助金额:
    77.0万元
  • 批准年份:
    2013
  • 负责人:
    冯志勇
  • 依托单位: