Computational Modeling and Design Optimization Under Uncertainty

不确定性下的计算建模和设计优化

• 批准号: 1000230896-2015
• 负责人: Nair, Prasanth
• 金额: $ 7.29万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=692672
• 关键词: Computational; Modeling; Design; Optimization; Under

Uncertainty is ubiquitous in the mathematical characterization of engineered and natural systems. Computer models of high-performance and safety-critical engineering systems must rationally account for uncertainty in order to reliably predict performance and possible modes of failure. The proposed research program will develop novel computational methods that will enable engineers to efficiently predict the performance of complex engineering systems in the presence of uncertainty and, ultimately, design systems that perform robustly in the face of uncertainty. The ability to perform computational modeling and design optimization as proposed here will provide a strategic advantage to the Canadian aerospace industry.

不确定性在工程和自然系统的数学表征中无处不在。高性能和安全关键工程系统的计算机模型必须合理地考虑不确定性，以便可靠地预测性能和可能的故障模式。拟议的研究计划将开发新的计算方法，使工程师能够有效地预测复杂工程系统在不确定性存在下的性能，并最终设计出在不确定性面前表现稳健的系统。这里提出的计算建模和设计优化的能力将为加拿大航空航天工业提供战略优势。