北京航空航天大学学报 ›› 2007, Vol. 33 ›› Issue (01): 115-118.

• 论文 • 上一篇    下一篇

多学科设计优化中的不确定性建模

韩明红, 邓家禔   

  1. 北京航空航天大学 机械工程及自动化学院, 北京 100083
  • 收稿日期:2006-01-19 出版日期:2007-01-31 发布日期:2010-09-19
  • 作者简介:韩明红(1974-),男,河南新乡人,博士后,hanminghong@163.com.
  • 基金资助:

    国家自然科学基金资助项目(50275005);国防基础科研资助项目(K1203010804)

Uncertainty modeling in multidisciplinary design optimization

Han Minghong, Deng Jiati   

  1. School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
  • Received:2006-01-19 Online:2007-01-31 Published:2010-09-19

摘要: 不确定性因素对复杂工程系统设计的影响贯穿整个设计过程.对多学科设计优化(MDO,Multidisciplinary Design Optimization)中不确定性的来源进行了总结和归类;建立了包含2个耦合学科的MDO系统分析输出结果的不确定性与设计变量输入数据误差和模型误差之间关系的数学模型,用于计算各种不确定性对系统性能的影响.算例分析结果和实验结果吻合,表明该数学模型有效可靠.经过扩展可用于估算包含多个耦合学科的MDO系统分析输出结果的不确定性,为鲁棒多学科设计优化方法的构建提供理论基础.

Abstract: Uncertainty is pervasive throughout the design process of complex engineering system. The sources of uncertainty in multidisciplinary design optimization(MDO) were summarized and classified into three categories: requirement error, input data error and model error. A mathematical model was built up for the estimation of propagated uncertainty in MDO system that contained two coupled disciplines(subsystems), which represented the relationship between input data error, model error and uncertainty in results of MDO system analysis to evaluate the influence of uncertainties for system performance. The agreement of the final computation results with the experimental data indicates this model is effective and reliable. Having extended, this model could be used to estimate the uncertainty in results of MDO system analysis, which contains more coupled disciplines(subsystems). The research is useful for the development of robust MDO methods.

中图分类号: 


版权所有 © 《北京航空航天大学学报》编辑部
通讯地址:北京市海淀区学院路37号 北京航空航天大学学报编辑部 邮编:100191 E-mail:jbuaa@buaa.edu.cn
本系统由北京玛格泰克科技发展有限公司设计开发