Computational Steering for Trade Space Exploration During Complex Systems Design

复杂系统设计期间贸易空间探索的计算指导

• 批准号: 0620948
• 负责人: David Spencer
• 金额: --
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-08-15 至 2010-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0620948&HistoricalAwards=false
• 关键词: Computational; Steering; Trade; Space; Exploration

This grant provides funding to investigate a new paradigm for trade space exploration during complex systems design that utilizes multidimensional visualization and designer-oriented computational steering techniques. The research will formalize the novel idea of trade space attractors, which designers implicitly use when searching for good designs. Strategies for implementing attractors in a graphical design interface will be developed, and the proposed methods will be tested on complex system design problems using land, sea, air, and space applications developed in conjunction with several industrial partners. The research will be conducted by a multidisciplinary team at the Pennsylvania State University that includes faculty from Aerospace Engineering, Mechanical Engineering, and Industrial Engineering and researchers at the Applied Research Laboratory at Penn State. Industrial partnerships have been established with General Motors, General Electric, and Aerospace Corporation to develop case studies for the research, and with Phoenix Integration, who will test a beta-version of software developments in a commercial environment.The results of this research will advance methods for complex systems design by taking advantage of recent advances in computing power and speed. The research will make significant contributions to the field of engineering design and multi-objective decision-making by developing new trade space search strategies that bridge the gap between current techniques for semi-automated optimization and ad hoc design space exploration. Technology transfer will occur with our industrial partners and through software testing in a commercial setting. The research will identify new training procedures for educating designers about multi-dimensional visualization and trade space exploration, and case studies will be disseminated over the Internet to the community. Finally, REU Supplements will be requested to engage undergraduates in the research and participation in two diversity-enhancing summer research programs at Penn State will broaden the participation of under-represented groups in the research.

该赠款提供资金，以调查在复杂系统设计期间利用多维可视化和面向设计师的计算转向技术进行贸易空间探索的新范式。 这项研究将正式贸易空间吸引，设计师隐式使用时，寻找好的设计的新想法。 将开发在图形设计界面中实施吸引子的策略，并将使用与几个工业合作伙伴一起开发的陆地，海洋，空中和空间应用程序在复杂的系统设计问题上测试所提出的方法。 这项研究将由宾夕法尼亚州立大学的一个多学科团队进行，其中包括航空航天工程，机械工程和工业工程的教师以及宾夕法尼亚州立大学应用研究实验室的研究人员。 与通用汽车、通用电气和航空航天公司建立了工业合作伙伴关系，为研究开发案例研究，并与Phoenix Integration建立了合作伙伴关系，后者将在商业环境中测试软件开发的beta版本。这项研究的结果将通过利用计算能力和速度的最新进展来推进复杂系统设计的方法。 该研究将通过开发新的贸易空间搜索策略，弥合当前半自动优化技术和特设设计空间探索之间的差距差距，为工程设计和多目标决策领域做出重大贡献。 技术转让将与我们的工业合作伙伴一起进行，并通过商业环境中的软件测试进行。 这项研究将确定新的培训程序，以教育设计师了解多维可视化和贸易空间探索，并将通过互联网向社区传播案例研究。 最后，REU补充将被要求从事本科生在研究和参与两个多样性增强在宾夕法尼亚州立大学的夏季研究计划将扩大代表性不足的群体在研究中的参与。