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The Scientific World Journal
Volume 2014 (2014), Article ID 879341, 14 pages
http://dx.doi.org/10.1155/2014/879341
Research Article

Damage Detection of Structures Identified with Deterministic-Stochastic Models Using Seismic Data

1Department of Aircraft Engineering, Air Force Institute of Technology, Gangshan 820, Taiwan
2Department of Civil Engineering, National Chiao Tung University, Hsinchu 300, Taiwan

Received 27 January 2014; Revised 5 May 2014; Accepted 5 May 2014; Published 3 August 2014

Academic Editor: Ting-Hua Yi

Copyright © 2014 Ming-Chih Huang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. L. Ljung, System Identification: Theory for the Users, Prentice Hall PTR, Upper Saddle River, NJ, USA, 1987.
  2. E. Safak, “Adaptive modeling, identification, and control of dynamic structural systems. I: Theory,” Journal of Engineering Mechanics, ASCE, vol. 115, no. 11, pp. 2386–2405, 1989. View at Publisher · View at Google Scholar · View at Scopus
  3. E. Safak, “Adaptive modeling, identification, and control of dynamic structural systems. II: applications,” Journal of Engineering Mechanics, vol. 115, no. 11, pp. 2406–2426, 1989. View at Publisher · View at Google Scholar · View at Scopus
  4. J. Lin and R. Betti, “On-line identification and damage detection in non-linear structural systems using a variable forgetting factor approach,” Earthquake Engineering and Structural Dynamics, vol. 33, no. 4, pp. 419–444, 2004. View at Publisher · View at Google Scholar · View at Scopus
  5. M. J. Perry and C. G. Koh, “Output-only structural identification in time domain: numerical and experimental studies,” Earthquake Engineering and Structural Dynamics, vol. 37, no. 4, pp. 517–533, 2008. View at Publisher · View at Google Scholar · View at Scopus
  6. “A review of structural health monitoring literature, 1996–2001,” Los Alamos National Laboratory Report LA-13976-MS, 2003.
  7. J. Zhao and J. T. DeWolf, “Sensitivity study for vibrational parameters used in damage detection,” Journal of Structural Engineering, vol. 125, no. 4, pp. 410–416, 1999. View at Publisher · View at Google Scholar · View at Scopus
  8. H. N. Li, T. H. Yi, L. Ren, D. S. Li, and L. S. Huo, “Reviews on innovations and applications in structural health monitoring for infrastructures,” Structural Monitoring and Maintenance, vol. 1, no. 1, pp. 1–45, 2014. View at Google Scholar
  9. H.-N. Li, T.-H. Yi, M. Gu, and L.-S. Huo, “Evaluation of earthquake-induced structural damages by wavelet transform,” Progress in Natural Science, vol. 19, no. 4, pp. 461–470, 2009. View at Publisher · View at Google Scholar · View at Scopus
  10. H. N. Li, X. Y. He, and T. H. Yi, “Multi-component seismic response analysis of offshore platform by wavelet energy principle,” Coastal Engineering, vol. 56, no. 8, pp. 810–830, 2009. View at Publisher · View at Google Scholar · View at Scopus
  11. T. H. Yi, H. N. Li, and H. M. Sun, “Multi-stage structural damage diagnosis method based on “energy-damage” theory,” Smart Structures and Systems, vol. 12, no. 3-4, pp. 345–361, 2013. View at Google Scholar
  12. A. K. Pandey and M. Biswas, “Damage detection in structures using changes in flexibility,” Journal of Sound and Vibration, vol. 169, no. 1, pp. 3–17, 1994. View at Publisher · View at Google Scholar · View at Scopus
  13. A. K. Pandey and M. Biswas, “Damage diagnosis of truss structures by estimation of flexibility change,” The International Journal of Analytical and Experimental Modal Analysis, vol. 10, no. 2, pp. 104–117, 1995. View at Google Scholar
  14. D. Bernal, “Load vectors for damage localization,” Journal of Engineering Mechanics, vol. 128, no. 1, pp. 7–14, 2002. View at Publisher · View at Google Scholar · View at Scopus
  15. D. Bernal and B. Gunes, “Flexibility based approach for damage characterization: benchmark application,” Journal of Engineering Mechanics, vol. 130, no. 1, pp. 61–70, 2004. View at Publisher · View at Google Scholar · View at Scopus
  16. Y. Gao, M. Ruiz-Sandoval, and B. F. Spencer, “Flexibility-based damage localization employing ambient vibration,” in Proceedings of the 15th ASCE Engineering Mechanics Conference, Columbia University, New York, NY, USA, June 2002.
  17. Y. Gao, B. F. Spencer, and D. Bernal, “Experimental verification of the flexibility-based damage locating vector method,” Journal of Engineering Mechanics, vol. 133, no. 10, pp. 1043–1049, 2007. View at Publisher · View at Google Scholar · View at Scopus
  18. D. Huynh, J. He, and D. Tran, “Damage location vector: a non-destructive structural damage detection technique,” Computers & Structures, vol. 83, no. 28–30, pp. 2353–2367, 2005. View at Publisher · View at Google Scholar · View at Scopus
  19. D. Bernal, “Damage localization from the null space of changes in the transfer matrix,” AIAA Journal, vol. 45, no. 2, pp. 374–381, 2007. View at Publisher · View at Google Scholar · View at Scopus
  20. D. Bernal, “Damage localization from transmission zeros of delta systems,” Journal of Engineering Mechanics, vol. 135, no. 2, pp. 93–99, 2009. View at Publisher · View at Google Scholar · View at Scopus
  21. D. Bernal, “Flexibility-based damage localization from stochastic realization results,” Journal of Engineering Mechanics, vol. 132, no. 6, pp. 651–658, 2006. View at Publisher · View at Google Scholar · View at Scopus
  22. P. van Overschee and B. de Moor, “N4SID: subspace algorithms for the identification of combined deterministic-stochastic systems,” Automatica, vol. 30, no. 1, pp. 75–93, 1994. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  23. P. van Overschee and B. de Moor, Subspace Identification for Linear Systems: Theory Implementation Applications, Kluwer Academic Publishers, Dordrecht, The Netherlands, 1996. View at MathSciNet
  24. J. N. Juang, “System realization using information matrix,” Journal of Guidance, Control, and Dynamics, vol. 20, no. 3, pp. 492–500, 1997. View at Publisher · View at Google Scholar · View at Scopus
  25. H. Akaike, “Markovian representation of stochastic processes by canonical variables,” SIAM Journal on Control and Optimization, vol. 13, no. 1, pp. 162–173, 1975. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  26. P. Faure, “Stochastic realization algorithms,” in System Identification: Advances and Case Studies, R. Mehra and D. Lainiotis, Eds., Academic Press, 1976. View at Google Scholar
  27. The Matrix Cookbook, Petersen & Pedersen, 2006.
  28. Y. T. Lin, Experimental verification of damage localization of output-only structural systems using seismic response data [M.S. thesis], Department of Civil Engineering, National Chiao-Tung University, Hsinchu, Taiwan, 2012.