SGER: Very Efficient Simulation for Engineering Design Problems

SGER：针对工程设计问题的非常高效的仿真

• 批准号: 0002900
• 负责人: Chun-Hung Chen
• 金额: $ 8万
• 依托单位: University of Pennsylvania
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-07-01 至 2000-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0002900&HistoricalAwards=false
• 关键词: SGER; Very; Efficient; Simulation; Engineering

The goal of this Small Grant for Exploratory Research (SGER) is to apply utility theory to engineering design, including the consideration of uncertainty. An aim is to address computational complexity using an efficient simulation technique referred to as Optimal Computing Budget Allocation. This algorithm seeks to identify the optimal design under uncertainty through the elimination of undesired designs with minimal information, thereby obviating the need to do extensive computations on all design alternatives.If successful, this method should provide a design framework that is flexible enough to address a wide variety of engineering design situations, and the method should provide a new set of design tools that explicitly incorporate uncertainty, while taking advantage of advancements in modeling and computing technology.

这项探索性研究（SGER）小额赠款的目标是将效用理论应用于工程设计，包括考虑不确定性。其目的是利用一种称为最优计算预算分配的有效模拟技术来解决计算复杂性。该算法寻求在不确定的情况下，通过用最少的信息消除不希望的设计来确定最优设计，从而避免了对所有设计方案进行大量的计算。如果成功，该方法应该提供一个足够灵活的设计框架，以处理各种各样的工程设计情况，并且该方法应该提供一套新的设计工具，明确地结合不确定性，同时利用建模和计算技术的进步。