• DocumentCode
    2381500
  • Title

    On-line modal parameter monitoring of bridges exploiting multi-core capacity by recursive stochastic subspace identification method

  • Author

    Lin, Ping ; Zhang, Nanxiong ; Ni, Bin

  • Author_Institution
    DSP Group, Nat. Instrum. Shanghai Branch, Shanghai
  • fYear
    2008
  • fDate
    11-13 June 2008
  • Firstpage
    632
  • Lastpage
    637
  • Abstract
    On-line modal parameter monitoring of structures like bridges has compelling practical significance. This paper describes an example of applying recursive stochastic subspace identification methods to the monitoring of bridge modal parameters. The usual recursive stochastic subspace identification algorithm tailored to modal analysis is first presented in details. Then the algorithm is adapted to exploit the power of the multi- core capacity of today´s computers so as to improve the speed and effectiveness of the original algorithm. The results of the experiments based on the real data of Donghai Bridge have confirmed the above positive effects of the modified recursive stochastic subspace identification algorithm.
  • Keywords
    bridges (structures); condition monitoring; stochastic processes; bridge modal parameters; modal analysis; multicore capacity; on-line modal parameter monitoring; recursive stochastic subspace identification method; Accidents; Bridges; Buildings; Computerized monitoring; Condition monitoring; Covariance matrix; Linear systems; Modal analysis; Multicore processing; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2008
  • Conference_Location
    Seattle, WA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-2078-0
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2008.4586563
  • Filename
    4586563