• DocumentCode
    1887895
  • Title

    Modal Parameter Identification of Concrete Filled Steel Tube Arch Bridge Based on Stochastic Subspace Method

  • Author

    Wang Li-xian ; Di Sheng-kui

  • Author_Institution
    Sch. of Civil Eng., Lanzhou Univ. of Technol., Lanzhou, China
  • fYear
    2013
  • fDate
    16-17 Jan. 2013
  • Firstpage
    695
  • Lastpage
    697
  • Abstract
    Based on stochastic subspace method, the natural frequency of the bridge arch rib, damping ratios and vibration mold parameter was obtained by modal parameter identification of a concrete filled steel tubular arch bridge under ambient excitation, and the Midas Civil finite element software was used to establish a computational model of the bridge. Measured results and calculated results were compared, and the reliability of the identification results have been verified, the identified dynamic properties can be served as the basis in the finite element model updating, damage detection, condition assessment and health monitoring of the bridge.
  • Keywords
    bridges (structures); concrete; condition monitoring; damping; finite element analysis; parameter estimation; pipes; steel; stochastic processes; structural engineering; vibrations; Midas Civil finite element software; ambient excitation; bridge arch rib natural frequency; bridge condition assessment; bridge health monitoring; computational bridge model; concrete filled steel tube arch bridge; damage detection; damping ratios; dynamic properties; finite element model updating; modal parameter identification; stochastic subspace method; vibration mold parameter; Bridges; Concrete; Finite element analysis; Frequency measurement; Mathematical model; Steel; Vibrations; Modal Analysis; ambient Vibration; arc bridge rib; stochastic subspace method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2013 Fifth International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4673-5652-7
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2013.174
  • Filename
    6493826