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Parameter estimation method for damage detection in torsionally coupled base-isolated structures

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Abstract

An extended Kalman filter methodology has been developed and tested to make the real time identification of the elemental stiffness of a base isolation system and to detect the damage starting from acceleration measurements. 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. 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. Furthermore, the analytically simulated accelerations, obtained by means of the instantaneously identified values of the stiffness, fully agree with the measured accelerations, highlighting the accuracy of the identification procedure.

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References

  1. Lei Y, Jiang Y, Xu Z (2012) Structural damage detection with limited input and output measurement signals. Mech Syst Signal Process 28:229–243

    Article  ADS  Google Scholar 

  2. Bernal D (2013) Kalman filter damage detection in the presence of changing process and measurement noise. Mech Syst Signal Process 39:361–371

    Article  ADS  Google Scholar 

  3. Skinner RI, Robinson WH, Mcverry GH (1993) An introduction to seismic isolation. Wiley, London

    Google Scholar 

  4. Narasimhan S, Nagarajaiah S, Johnson EA, Gavin HP (2006) Smart base isolated benchmark building part I: problem definition. Struct Control Health Monit 13:573–588

    Article  Google Scholar 

  5. Chang FK (2011) Structural health monitoring. In: Proceeding of 8th international workshop, Stanford, USA

  6. Yang JN, Lin S (2005) Identification of parametric variations of structures based on least square estimation and adaptive tracking technique. ASCE J Eng Mech 131:290–298

    Article  Google Scholar 

  7. Yang JN, Lin S, Huang H, Zhou L (2006) An adaptive extended Kalman filter for structural damage identification. Struct Control Health Monit 13:849–867

    Article  Google Scholar 

  8. Zhou L, Wu SY, Yang JN (2008) Experimental study of an adaptive extended Kalman filter for structural damage identification. ASCE J Infrastruct Syst 14:42–51

    Article  Google Scholar 

  9. Sato T, Chung M (2006) Structural identification using adaptive Monte Carlo filter. JSCE J Struct Eng 51:471–477

    Google Scholar 

  10. Doebling SW, Farrar CR, Prime MB (1998) A summary review of vibration-based damage identification methods. Shock Vib Dig 30:91–105

    Article  Google Scholar 

  11. Lee YS, Tsakirtzis S, Alexander F (2011) A time-domain nonlinear system identification method based on multiscale dynamic partitions. Meccanica 46:625–649

    Article  MathSciNet  MATH  Google Scholar 

  12. Humar L, Bagchi A, Xu H (2006) Performance of vibration-based techniques for the identification of structural damage. Struct Health Monit 5:215–241

    Article  Google Scholar 

  13. Manoach E, Samborski S, Mitura A, Warminski J (2012) Vibration based damage detection in composite beams under temperature variations using Poincaré maps. Int J Mech Sci 62(1):120–132

    Article  Google Scholar 

  14. Soyoz S, Feng MQ, Safak E (2006) Real-time structural health monitoring incorporating soil–structure interaction. In: Hundredth anniversary earthquake conference, San Francisco, CA

  15. Kalman RE (1969) A new approach to linear filtering and prediction problems. J Basic Eng 82:35–45

    Article  Google Scholar 

  16. Yun CB, Shinozuka M (1980) Identification of nonlinear structural dynamic systems. J Struct Mech 8:187–203

    Article  Google Scholar 

  17. Hoshiya S, Saito E (1984) Structural identification by extended Kalman filter. J Eng Mech 110:1757–1770

    Article  Google Scholar 

  18. Straser EG, Kiremidjian AS (1996) Monitoring and evaluating civil structures using measured vibration. In: Proceedings of 14th international modal analysis conference, Dearborn, MI, USA, pp 84–90

  19. Pam TC, Kelly JM (1983) Seismic response of torsionally coupled base isolated structures. Earthq Eng Struct Dyn 11:749–770

    Article  Google Scholar 

  20. Pagano S, Russo M, Strano S, Terzo M (2014) Seismic isolator test rig control using high-fidelity non-linear dynamic system modelling. Meccanica 49:169–179

    Article  MATH  Google Scholar 

  21. Strano S, Terzo M (2013) A first order model based control of a hydraulic seismic isolator test rig. Eng Lett 21:52–60

    Google Scholar 

  22. Calabrese A, Serino G, Strano S, Terzo M (2013) Investigation of the seismic performances of an FBRs base isolated steel frame through hybrid testing. In: Lecture notes in engineering and computer science, vol 3 LNECS, pp 1974–1978

  23. Kelly JM, Calabrese A (2013) Analysis of fiber-reinforced elastomeric isolators including stretching of reinforcement and compressibility of elastomer. Ing Sism 30:5–16

    Google Scholar 

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Authors and Affiliations

  1. Department of Structures for Engineering and Architecture, University of Naples Federico II, Naples, Italy

    Andrea Calabrese

  2. Department of Industrial Engineering, University of Naples Federico II, Naples, Italy

    Salvatore Strano & Mario Terzo

Authors
  1. Andrea Calabrese
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  2. Salvatore Strano
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  3. Mario Terzo
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Correspondence to Mario Terzo.

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Calabrese, A., Strano, S. & Terzo, M. Parameter estimation method for damage detection in torsionally coupled base-isolated structures. Meccanica 51, 785–797 (2016). https://doi.org/10.1007/s11012-015-0257-2

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  • DOI: https://doi.org/10.1007/s11012-015-0257-2

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