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Shock and Vibration
Volume 2014, Article ID 872492, 9 pages
http://dx.doi.org/10.1155/2014/872492
Research Article

Use of Time- and Frequency-Domain Approaches for Damage Detection in Civil Engineering Structures

1Faculty of Science, Technology and Communication, University of Luxembourg, 6 rue Richard Coudenhove-Kalergi, 1359 Luxembourg, Luxembourg
2Department of Aerospace and Mechanical Engineering, University of Liege, 1 Chemin des Chevreuils, B52, 4000 Liège, Belgium

Received 27 July 2013; Accepted 12 December 2013; Published 15 June 2014

Academic Editor: Nuno Maia

Copyright © 2014 V. H. Nguyen 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. D. Montalvão, N. M. M. Maia, and A. M. R. Ribeiro, “A review of vibration-based structural health monitoring with special emphasis on composite materials,” Shock and Vibration Digest, vol. 38, no. 4, pp. 295–324, 2006. View at Publisher · View at Google Scholar · View at Scopus
  2. W. Fan and P. Qiao, “Vibration-based damage identification methods: a review and comparative study,” Structural Health Monitoring, vol. 10, no. 1, pp. 83–111, 2011. View at Publisher · View at Google Scholar · View at Scopus
  3. A.-M. Yan and J.-C. Golinval, “Null subspace-based damage detection of structures using vibration measurements,” Mechanical Systems and Signal Processing, vol. 20, no. 3, pp. 611–626, 2006. View at Publisher · View at Google Scholar · View at Scopus
  4. V. H. Nguyen, Damage detection and fault diagnosis in mechanical systems using vibration signals [Ph.D. dissertation], University of Liège, 2010.
  5. V. H. Nguyen, C. Rutten, and J.-C. Golinval, “Fault diagnosis in industrial systems based on blind source separation techniques using one single vibration sensor,” Shock and Vibration, vol. 19, no. 5, pp. 795–801, 2012. View at Publisher · View at Google Scholar · View at Scopus
  6. G. Kerschen and J.-C. Golinval, “Non-linear generalization of principal component analysis: from a global to a local approach,” Journal of Sound and Vibration, vol. 254, no. 5, pp. 867–876, 2002. View at Publisher · View at Google Scholar · View at Scopus
  7. P. de Boe and J.-C. Golinval, “Principal component analysis of a piezosensor array for damage localization,” Structural Health Monitoring, vol. 2, no. 2, pp. 137–144, 2003. View at Google Scholar · View at Scopus
  8. P. V. Overschee and B. de Moor, Subspace Identification for Linear Systems: Theory, Implementation, Applications, Kluwer Academic Publishers, Dordrecht, The Netherlands, 1997.
  9. G. H. Golub and C. F. van Loan, Matrix Computations, The Johns Hopkins University Press, Baltimore, Md, USA, 1996.
  10. J. Mahowald, S. Maas, D. Waldmann, A. Zürbes, and F. Scherbaum, “Damage identification and localisation using changes in modal parameters for civil engineering structures,” in Proceedings of the International Conference on Noise and Vibration Engineering, pp. 1103–1117, Leuven, Belgium, 2012.
  11. B. Peeters and G. de Roeck, “Stochastic system identification for operational modal analysis: a review,” Journal of Dynamic Systems, Measurement and Control, vol. 123, no. 4, pp. 659–667, 2001. View at Google Scholar · View at Scopus
  12. J. Mahowald, S. Maas, F. Scherbaum, D. Waldmann, and A. Zürbes, “Dynamic damage identification using linear and nonlinear testing methods on a two-span prestressed concrete bridge,” in Proceedings of the 3rd International Symposium on Life-Cycle Civil Engineering (IALCCE '12), pp. 157–164, CRC Press, Vienna, Austria, October 2012. View at Scopus
  13. J. Mahowald, V. Bungard, D. Waldmann, S. Maas, A. Zürbes, and G. de Roeck, “Comparison of linear and nonlinear static and dynamic behaviour of prestressed and non-prestressed concrete slab elements,” in Proceedings of the International Conference on Noise and Vibration Engineering, pp. 717–728, Leuven, Belgium, 2010.
  14. J. V. Araújo dos Santos, N. M. M. Maia, C. M. Mota Soares, and C. A. Mota Soares, “Structural damage identification: a survey,” in Trends in Computational Structures Technology, B. H. V. Topping and M. Papadrakakis, Eds., chapter 1, pp. 1–24, Saxe-Coburg Publications, Stirlingshire, UK, 2008. View at Publisher · View at Google Scholar
  15. L. J. Jiang and K. W. Wang, “An experiment-based frequency sensitivity enhancing control approach for structural damage detection,” Smart Materials and Structures, vol. 18, no. 6, Article ID 065005, 2009. View at Publisher · View at Google Scholar
  16. V. H. Nguyen and J.-C. Golinval, “Damage localization in linear-form structures based on sensitivity investigation for principal component analysis,” Journal of Sound and Vibration, vol. 329, no. 21, pp. 4550–4566, 2010. View at Publisher · View at Google Scholar · View at Scopus
  17. D. Todd Griffith, “Analytical sensitivities for principal components analysis of dynamical systems,” in Proceedings of the 27th IMAC Conference & Exposition on Structural Dynamics, Orlando, Fla, USA, February 2009.
  18. J. L. Junkins and Y. Kim, Introduction to Dynamics and Control of Flexible Structures, AIAA Education Series, American Institute of Aeronautics and Astronautics, Reston, Va, USA, 1993.