• DocumentCode
    3229585
  • Title

    Parameter optimization of complicated bridges with the method of GA-BP

  • Author

    Xiao-jun, Ning ; Qiang, Zhao

  • Author_Institution
    Sch. of Civil Eng., Kunming Univ. of Sci. & Technol., Kunming, China
  • fYear
    2011
  • fDate
    27-29 May 2011
  • Firstpage
    629
  • Lastpage
    631
  • Abstract
    When designing a bridge, how to choose the correct parameters of bridge is the most important problem. Especially for complicated bridges, there are many parameters, and some of them are coupled, so when calculating a parameter alone, it may cause wrong conclusions. In this thesis, parameter optimization of bridge is introduced with the method of GA-ANN. According to the detail processes, a continuous rigid frame bridge of 220m main span is analyzed. The availability of this method is proved.
  • Keywords
    backpropagation; bridges (structures); genetic algorithms; neural nets; GA-ANN; GA-BP; bridge design; bridge parameter optimization; complicated bridges; continuous rigid frame bridge; Artificial neural networks; ANN; GA; complicated bridges; parameter optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-61284-485-5
  • Type

    conf

  • DOI
    10.1109/ICCSN.2011.6014168
  • Filename
    6014168