• DocumentCode
    2463875
  • Title

    A hierarchical hybrid strategy for reliability analysis of multidisciplinary design optimization

  • Author

    Li, Liansheng ; Jing, Shikai ; Liu, Jihong

  • Author_Institution
    School of Mechanical Engineering and Automation, Beihang University, Beijing, China
  • fYear
    2010
  • fDate
    14-16 April 2010
  • Firstpage
    525
  • Lastpage
    530
  • Abstract
    In order to improve the computational efficiency of reliability analysis for MDO, a hierarchical hybrid reliability analysis strategy is proposed. This strategy is composed of two layers, the sequential optimization and reliability assessment (SORA) method is adopted in the upper level to decouple the reliability analysis from MDO, which guarantee that the reliability analysis and deterministic MDO can be executed in a serial way. In the lower layer, the collaborative optimization (CO) strategy is integrated both in deterministic MDO and reliability analysis. Furthermore, based on the traditional theory of most probable point (MPP), the reliability analysis combined with the CO strategy is conducted concurrently. And also, the deterministic MDO is implemented in parallel with the CO strategy. Finally, the proposed strategy is validated with an illustrative example and the results are compared with the existing reliability analysis methods in MDO, showing that the proposed strategy is efficient and competent for evaluating design feasibility in MDO environment with uncertainties.
  • Keywords
    Algorithm design and analysis; Collaboration; Collaborative work; Computational efficiency; Computational modeling; Design optimization; Mechanical engineering; Safety; System analysis and design; Uncertainty; collaborative optimization; most probable point; multidisciplinary design optimization; reliability analysis; sequential optimization and reliability assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Supported Cooperative Work in Design (CSCWD), 2010 14th International Conference on
  • Conference_Location
    Shanghai, China
  • Print_ISBN
    978-1-4244-6763-1
  • Type

    conf

  • DOI
    10.1109/CSCWD.2010.5471915
  • Filename
    5471915