• DocumentCode
    2023289
  • Title

    Safety assessment of existing rigid-frame arch bridges using fuzzy theory based analytic multivariate and hierarchy approach

  • Author

    Xie, Kai-zhong ; Yang, Shi-Sheng ; Wei, Li-lin

  • Author_Institution
    Det of Bridge Eng., Tongji Univ., Shanghai, China
  • Volume
    3
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    1359
  • Lastpage
    1363
  • Abstract
    A new approach of structural safety assessment for an existing rigid-frame arch bridge, constructed from multivariate and multi-layer analytic model. The assessment model of structural safety of existing rigid-frame arch bridges on the basis of technical condition, static loading test, dynamic loading test and load-carrying capacity, and the index system is proposed according to multivariate. In this paper, the structural safety of an existing rigid-frame arch bridge is assessed. The results are shown that the approach presented in this paper is high performance and accurate for assessment the bridge. The bridge is assessed as third grade bridge. The proposed approach would certainly help the engineers and policy makers concerned with bridge management to arrive at a systematic judgment and to formulate methodical steps towards retrofitting, rehabilitation, reinforcement or demolition of the bridge.
  • Keywords
    bridges (structures); decision making; fuzzy set theory; maintenance engineering; risk management; road safety; structural engineering; analytic multivariate approach; fuzzy theory; hierarchy approach; multi-layer analytic model; rehabilitation; reinforcement; retrofitting; rigid-frame arch bridges; structural safety assessment; Bridges; Damping; Indexes; Load modeling; Loading; Safety; Stress; arch bridge; fuzzy theory; hierarchy approach; safety assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5931-5
  • Type

    conf

  • DOI
    10.1109/FSKD.2010.5569092
  • Filename
    5569092