• DocumentCode
    501194
  • Title

    Intelligent Analysis Method of Mechanical Structure Performance

  • Author

    Wenxue, Qian ; Xiaowei, Yin ; Liyang, Xie ; Dayan, Huang

  • Author_Institution
    Sch. of Mech. Eng. & Autom., Northeastern Univ., Shenyang, China
  • Volume
    2
  • fYear
    2009
  • fDate
    15-17 May 2009
  • Firstpage
    113
  • Lastpage
    116
  • Abstract
    Mechanical structures are widely used in engineering practice and usually they are bearing multiple independent random load applications and the performance analysis of them is difficult. In this paper, an intelligent method is introduced to analyze the performance of complex structure with multiple random load applications. First several load effect results are got through FEA, and then the artificial neural networks(ANN) model of the structure was built. The results those have been got will be the train set and test set of the ANN. Then the structure performance can be analyzed through the ANN. An example shows that the above method overcomes the disadvantage of long time computing of FEA and simplifies the performance analysis of complex mechanical structure with multiple load applications.
  • Keywords
    artificial intelligence; neural nets; structural engineering computing; artificial neural networks; engineering practice; intelligent analysis method; mechanical structure performance; multiple independent random load applications; performance analysis; Artificial intelligence; Artificial neural networks; Biological neural networks; Biological system modeling; Computer networks; Information technology; Intelligent structures; Mechanical engineering; Neurons; Performance analysis; mechanical structure; multiple load applications; performance analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications, 2009. IFITA '09. International Forum on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-0-7695-3600-2
  • Type

    conf

  • DOI
    10.1109/IFITA.2009.536
  • Filename
    5231267