Volume 33 Issue 01
Jan.  2007
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Han Minghong, Deng Jiati. Uncertainty modeling in multidisciplinary design optimization[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(01): 115-118. (in Chinese)
Citation: Han Minghong, Deng Jiati. Uncertainty modeling in multidisciplinary design optimization[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(01): 115-118. (in Chinese)

Uncertainty modeling in multidisciplinary design optimization

  • Received Date: 19 Jan 2006
  • Publish Date: 31 Jan 2007
  • 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.

     

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  • [1] Han Minghong, Deng Jiati. Multidisciplinary design optimization methods for complex engineering systems Yang H C. Proceedings of the International Conference on Agile Manufacturing. Beijing:China Machine Press,2003:347-354 [2] Delaurentis D A, Mavris D N. Uncertainty modeling and management in multidisciplinary analysis and synthesis . AIAA-2000-0422, 2000 [3] Chen W, Yuan C. A probabilistic-based design model for achieving flexibility in design[J]. Journal of Mechanical Design, 2000,121(3):77-83 [4] Du X P, Wang Y J, Chen W. Methods for robust multidisciplinary design . AIAA-2000-1785, 2000 [5] Mavris D V, Bandte O, Mavris D A. Robust design simulation:a probabilistic approach to multidisciplinary design[J]. Journal of Aircraft,1999,36(1):298-397 [6] Sobieszczanski-Sobieski J, Agte J S, Sandusky R R Jr. Bi-level integrated system synthesis(BLISS) . NASA/TM-1998-208715, 1998 [7] 韩明红, 邓家禔. 复杂工程系统多学科设计优化集成环境研究[J]. 机械工程学报,2004,40(9):100-105 Han Minghong, Deng Jiati. Study on integrated framework of multidisciplinary design optimization for complex engineering system[J]. Chinese Journal of Mechanical Engineering,2004,40(9):100-105(in Chinese)
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