• DocumentCode
    119662
  • Title

    An extended Kalman Filter procedure for damage detection of base-isolated structures

  • Author

    Calabrese, Andrea ; Serino, G. ; Strano, Salvatore ; Terzo, Mario

  • Author_Institution
    Dept. of Struct. for Eng. & Archit., Univ. of Naples Federico II, Naples, Italy
  • fYear
    2014
  • fDate
    17-18 Sept. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Base isolation is widely adopted to mitigate earthquake effects on structures. Information concerning the status of the isolation devices is fundamental, for example, after an emergency event and, consequently, damage detection procedures have received significant attention in the recent years. Herein, an extended Kalman filter approach is developed for real-time estimation of the isolation device stiffness from acceleration measurements. Simulations have been carried out by means of a three degree of freedom model and results are illustrated. Moreover, experimental evaluations of the damage detection method have been conducted by means of a prototype structure that has been excited adopting a sequence of seismic events. The results highlight a stiffness degradation and fully agree with the measurements, allowing a validation of the technique.
  • Keywords
    Kalman filters; condition monitoring; earthquake engineering; fault diagnosis; nonlinear filters; shock absorbers; structural engineering computing; vibration isolation; acceleration measurements; base-isolated structures; damage detection; earthquake effect mitigation; extended Kalman filter; stiffness degradation; vibration isolation devices; Acceleration; Buildings; Degradation; Educational institutions; Mathematical model; Noise measurement; Prototypes; base isolation; damage detection; parameter identification; vibration control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental Energy and Structural Monitoring Systems (EESMS), 2014 IEEE Workshop on
  • Conference_Location
    Naples
  • Print_ISBN
    978-1-4799-4989-2
  • Type

    conf

  • DOI
    10.1109/EESMS.2014.6923262
  • Filename
    6923262