Application of MDO to Infrastructure Planning on the WasatchFront

MDO在WasatchFront基础设施规划中的应用

• 批准号: 9526018
• 负责人: Richard Balling
• 金额: $ 41.83万
• 依托单位: Brigham Young University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-09-15 至 1999-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9526018&HistoricalAwards=false
• 关键词: Application; MDO; Infrastructure; Planning; WasatchFront

ABSTRACT CMS9526018 "Application of MDO to Infrastructure Planning on the Wasatch Front" PI: Balling, R., Brigham Young University The "Wasatch Front" is a metropolitan area of rapid growth in Utah, with about 1.5 million people in 70 cities along a narrow corridor about 80 miles long and 5 to 15 miles wide. The coupled problems of growth management and infrastructure renewal for this area are complicated. This research will address transfer of Multidisciplinary Design Optimization (MDO) technology to the planning and design problems associated with infrastructure renewal and growth management. The MDO approach will give individual agencies as much freedom as possible in making planning/design decisions while maintaining coordination between disciplines so that the overall system can be optimized. MDO tools consist of optimization and search algorithms, support for sensitivity analysis, approximate analysis models, robust design support, and other decision support tools. The research will be accomplished in a collaborative relationship among faculty from BYU, several departments in the Utah State Government, the Wasatch Front Regional Council, and the Mountainlands Association of Governments. The project will develop and generalize the MDO methodology, including development of a prototype application on a subsystem of the "Wasatch Front", and then continue with development of a detailed implementable plan for application of MDO to the larger regional system.

PI: Balling， R.，杨百翰大学“Wasatch Front”是犹他州一个快速发展的大都市区，沿着一条长约80英里，宽5至15英里的狭窄走廊，约有150万人口分布在70个城市。该地区的增长管理和基础设施更新的耦合问题是复杂的。本研究将解决多学科设计优化（MDO）技术转移到与基础设施更新和增长管理相关的规划和设计问题。MDO方法将给予各个机构尽可能多的自由来制定规划/设计决策，同时保持各学科之间的协调，从而使整个系统得到优化。MDO工具包括优化和搜索算法、灵敏度分析支持、近似分析模型、鲁棒设计支持和其他决策支持工具。这项研究将在杨百翰大学的教师、犹他州政府的几个部门、Wasatch Front地区委员会和山区政府协会的合作下完成。该项目将发展和推广MDO方法，包括在“瓦萨奇前线”的一个子系统上开发一个原型应用程序，然后继续制定一个详细的可执行计划，将MDO应用于更大的区域系统。