• DocumentCode
    3283798
  • Title

    Approach to Grey Prediction Model of Structural State of Large Span Reinforced Concrete Continuous Beam Bridge

  • Author

    Zhang Ying-Ying

  • Author_Institution
    Zhejiang Water Conservancy & Hydropower Coll., Hangzhou, China
  • fYear
    2013
  • fDate
    16-18 Jan. 2013
  • Firstpage
    377
  • Lastpage
    381
  • Abstract
    The real-time monitoring, prediction and assessment of reinforced concrete large span continuous beam bridge structural state is the scientific basis for operation and maintenance of the large bridge. Here, with a bridge project as example, the grey model for predicting the healthy-year state of bridge structure is established through bridge structural state real-time monitoring and dynamic analysis of finite element structure. The model is calculated and verified with the measured results of the structural state of the said project, and the development of bridge structural state is predicted with year as unit, which will play a good actual guiding role.
  • Keywords
    beams (structures); bridges (structures); condition monitoring; finite element analysis; grey systems; maintenance engineering; reinforced concrete; bridge maintenance; bridge structural state real-time monitoring; dynamic analysis; finite element structure; grey prediction model; healthy-year state prediction; large span reinforced concrete continuous beam bridge; Analytical models; Bridges; Data models; Mathematical model; Monitoring; Predictive models; Real-time systems; grey model; large span continuous beam bridge; prediction; real-time monitoring; structural state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System Design and Engineering Applications (ISDEA), 2013 Third International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4673-4893-5
  • Type

    conf

  • DOI
    10.1109/ISDEA.2012.94
  • Filename
    6457291