• DocumentCode
    3394169
  • Title

    Nondestructive evaluation of strengthened decks using a microgenetic algorithm

  • Author

    Lee, Sang-Youl ; Noh, Myung-Hyun ; Jang, Han-Teak ; Park, Taehyo

  • Author_Institution
    Dept. of Civil Eng., Hanyang Univ., Seoul
  • fYear
    2008
  • fDate
    10-12 Oct. 2008
  • Firstpage
    1557
  • Lastpage
    1562
  • Abstract
    This study carries out the simulation of stiffness reduction in damaged reinforced concrete bridges under moving loads, and carries out the stiffness assessment after repairing using steel plates. In particular, the change of stiffness in each element before and after repairing, based on a microgenetic algorithm, is described and discussed by using a modified bivariate Gaussian distribution function. The validity of the technique is simulated using a set of dynamic data obtained from a simulation of the actual bridge modeled with a three-dimensional solid element. The numerical examples show that the proposed technique is a feasible and practical method which can inspect the complex distribution of deteriorated stiffness although there is a difference between actual bridge and numerical model as well as uncertain noise occurred in the measured data.
  • Keywords
    Gaussian distribution; bridges (structures); genetic algorithms; maintenance engineering; nondestructive testing; reinforced concrete; Gaussian distribution function; microgenetic algorithm; nondestructive evaluation; reinforced concrete bridges; steel plates; stiffness reduction; strengthened decks; Bridges; Concrete; Convergence; Degradation; Finite element methods; Gold; Inverse problems; Shape; Solid modeling; Steel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Simulation and Scientific Computing, 2008. ICSC 2008. Asia Simulation Conference - 7th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1786-5
  • Electronic_ISBN
    978-1-4244-1787-2
  • Type

    conf

  • DOI
    10.1109/ASC-ICSC.2008.4675624
  • Filename
    4675624