• DocumentCode
    2282354
  • Title

    The reliability-based topology optimization design by stochastic perturbation

  • Author

    Li, Jingkui ; Zhang, Yanli ; Yu, Chao ; Guo, Jianye

  • Author_Institution
    Sch. of Mech. & Electr. Eng., Shenyang Aerosp. Univ., Shenyang, China
  • Volume
    4
  • fYear
    2011
  • fDate
    10-12 June 2011
  • Firstpage
    142
  • Lastpage
    145
  • Abstract
    This article discussed the problem of reliability-based topology optimization design (RBTO), combined evolutionary structural optimization (ESO) and the reliability analysis method based on the stochastic finite element method (perturbation), established the mathematical model of reliability-based topology optimization design. The reliability constraint is taken as a global constraint. The stochastic perturbation method is used to solve the reliability to transform the implicitly bound constraints into explicit. The evolutionary structural optimization method is extracted for topology optimization design. The flow chart of reliabilitybased topology optimization design is showed. Several examples are given to verify the method and the results indicated the method is feasible. It provided the theory basis for the project application.
  • Keywords
    flowcharting; optimisation; reliability theory; stochastic processes; topology; bound constraint; evolutionary structural optimization method; flow chart; global constraint; mathematical model; reliability based topology optimization design; stochastic finite element method; stochastic perturbation method; Finite element methods; Optimization; Reliability engineering; Reliability theory; Stress; Topology; ESO; reliability; stochastic perturbation; topology optimization design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-8727-1
  • Type

    conf

  • DOI
    10.1109/CSAE.2011.5952820
  • Filename
    5952820