• DocumentCode
    2073383
  • Title

    Parameter identification based on stabilization diagram with kernel fuzzy clustering method

  • Author

    Liu, Hanbing ; Wu, Chunli ; Wan, Hongpeng ; Wang, Hanzhang

  • Author_Institution
    Coll. of Transp., Jilin Univ., Changchun, China
  • fYear
    2011
  • fDate
    16-18 Dec. 2011
  • Firstpage
    1185
  • Lastpage
    1188
  • Abstract
    Research has been carried out on parameter identification of the bridge structure based on stabilization diagram with kernel fuzzy clustering method in input space and stochastic subspace method. A newly stabilization diagram plotted frequency against arbitrary column data of modal assurance criterion is proposed without the consideration of damping. The presented compared circle method can distinguish the spurious and physical modes accurately, intelligently and no longer to need people´s subjective participation. Numerical simulation results of a simple beam bridge demonstrate the correctness and reliability of the employed approaches.
  • Keywords
    beams (structures); bridges (structures); fuzzy set theory; mechanical stability; parameter estimation; pattern clustering; reliability; beam bridge; bridge structure; kernel fuzzy clustering method; parameter identification; reliability; stabilization diagram; stochastic subspace method; Bridges; Clustering methods; Educational institutions; Kernel; Mathematical model; Parameter estimation; Stochastic processes; bridge structure; kernel fuzzy clustering method in input space; parameter identification; stabilization diagram; stochastic subspace method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4577-1700-0
  • Type

    conf

  • DOI
    10.1109/TMEE.2011.6199417
  • Filename
    6199417