About this Journal Submit a Manuscript Table of Contents
International Journal of Distributed Sensor Networks
Volume 2012 (2012), Article ID 914638, 14 pages
http://dx.doi.org/10.1155/2012/914638
Research Article

Intelligent Monitoring of Multistory Buildings under Unknown Earthquake Excitation by a Wireless Sensor Network

1Department of Civil Engineering, Xiamen University, Xiamen 361005, China
2State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China
3Department of Communication Engineering, Xiamen University, Xiamen 361005, China

Received 7 July 2012; Revised 7 October 2012; Accepted 8 October 2012

Academic Editor: Ting-Hua YI

Copyright © 2012 Y. Lei 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. in Proceedings of the 4th International Conference on structural health monitoring of intelligent infrastructures, U. Meier, B. Havaranek, and M. Motavalli, Eds., Zurich, Switzerland, 2009.
  2. in Proceedings of the 7th and 8th International Workshops on Structural Health Monitoring, F. K. Chang, Ed., Stanford University, CRC Press, Stanford, Calif, USA, 2009.
  3. D. Wang and A. Haldar, “System identification with limited observations and without input,” Journal of Engineering Mechanics, vol. 123, no. 5, pp. 504–510, 1997. View at Scopus
  4. J. Chen and J. Li, “Simultaneous identification of structural parameters and input time history from output-only measurements,” Computational Mechanics, vol. 33, no. 5, pp. 365–374, 2004. View at Publisher · View at Google Scholar · View at Scopus
  5. J. N. Yang, S. Pan, and H. Huang, “An adaptive extended Kalman filter for structural damage identifications II: unknown inputs,” Structural Control and Health Monitoring, vol. 14, no. 3, pp. 497–521, 2007. View at Publisher · View at Google Scholar · View at Scopus
  6. J. N. Yang and H. Huang, “Sequential non-linear least-square estimation for damage identification of structures with unknown inputs and unknown outputs,” International Journal of Non-Linear Mechanics, vol. 42, no. 5, pp. 789–801, 2007. View at Publisher · View at Google Scholar · View at Scopus
  7. X. Zhao, Y. L. Xu, J. Li, and J. Chen, “Hybrid identification method for multi-story buildings with unknown ground motion: theory,” Journal of Sound and Vibration, vol. 291, no. 1-2, pp. 215–239, 2006. View at Publisher · View at Google Scholar · View at Scopus
  8. X. Zhao, Y. L. Xu, J. Chen, and J. Li, “Hybrid identification method for multi-story buildings with unknown ground motion: experimental investigation,” Engineering Structures, vol. 27, no. 8, pp. 1234–1247, 2005. View at Publisher · View at Google Scholar · View at Scopus
  9. T. H. Yi, H. N. Li, and M. Gu, “A new method for optimal selection of sensor location on a high-rise building using simplified finite element model,” Structural Engineering and Mechanics, vol. 37, no. 6, pp. 671–684, 2011. View at Scopus
  10. T. H. Yi, H. N. Li, and M. Gu, “Optimal sensor placement for structural health monitoring based on multiple optimization strategies,” Structural Design of Tall and Special Buildings, vol. 20, no. 7, pp. 881–890, 2011. View at Publisher · View at Google Scholar · View at Scopus
  11. M. Hoshiya and E. Saito, “Structural identification by extended Kalman filter,” Journal of Engineering Mechanics, vol. 110, no. 12, pp. 1757–1772, 1984. View at Scopus
  12. M. Hoshiya and A. Sutoh, “Kalman Filter—finite element method in identification,” Journal of Engineering Mechanics, vol. 119, no. 2, pp. 197–210, 1993. View at Scopus
  13. K. J. Lee and C. B. Yun, “Parameter identification for nonlinear behavior of RC bridge piers using sequential modified extended Kalman filter,” Smart Structures and Systems, vol. 4, no. 3, pp. 319–342, 2008. View at Scopus
  14. X. Liu, P. J. Escamilla-Ambrosio, and N. A. J. Lieven, “Extended Kalman filtering for the detection of damage in linear mechanical structures,” Journal of Sound and Vibration, vol. 325, no. 4-5, pp. 1023–1046, 2009. View at Publisher · View at Google Scholar · View at Scopus
  15. E. G. Straser and A. S. Kiremidjian, “Monitoring and evaluating civil structures using measured vibration,” in Smart Structures and Materials 1996: Smart Systems for Bridges, Structures, and Highways, vol. 2719 of Proceedings of SPIE, pp. 112–122, San Diego, Calif, USA, February 1996. View at Scopus
  16. C. G. Koh, B. Hong, and C. Y. Liaw, “Substructural and progressive structural identification methods,” Engineering Structures, vol. 25, no. 12, pp. 1551–1563, 2003. View at Publisher · View at Google Scholar · View at Scopus
  17. N. Thanh and C. G. Koh, “An improved substructural identification strategy for large structural systems,” Structural Control and Health. In press. View at Publisher · View at Google Scholar
  18. S. S. Law and D. Yong, “Substructure methods for structural condition assessment,” Journal of Sound and Vibration, vol. 330, no. 15, pp. 3606–3619, 2011. View at Publisher · View at Google Scholar · View at Scopus
  19. S. Weng, Y. Xia, Y. L. Xu, and H. P. Zhu, “Substructure based approach to finite element model updating,” Computers and Structures, vol. 89, no. 9-10, pp. 772–782, 2011. View at Publisher · View at Google Scholar · View at Scopus
  20. J. P. Lynch, “An overview of wireless structural health monitoring for civil structures,” Philosophical Transactions of the Royal Society A, vol. 365, no. 1851, pp. 345–372, 2007. View at Publisher · View at Google Scholar · View at Scopus
  21. Y. Wang, Wireless sensing and decentralized control for civil structures: theory and implementation [Ph.D. thesis], Department of civil and Environmental Engineering, Stanford University, Stanford, Calif, USA, 2007.
  22. S. G. Taylor, K. M. Farinholt, G. Park, M. D. Todd, and C. R. Farrar, “Multi-scale wireless sensor node for health monitoring of civil infrastructure and mechanical systems,” Smart Structures and Systems, vol. 6, no. 5-6, pp. 661–673, 2010. View at Scopus
  23. Y. Yu, J. Ou, and H. Li, “Design, calibration and application of wireless sensors for structural global and local monitoring of civil infrastructures,” Smart Structures and Systems, vol. 6, no. 5-6, pp. 641–659, 2010. View at Scopus
  24. P. Li, H. Gu, G. Song, R. Zheng, and Y. L. Mo, “Concrete structural health monitoring using piezoceramicbased wireless sensor networks,” Smart Structures and Systems, vol. 6, no. 5-6, pp. 731–748, 2010. View at Scopus
  25. Y. Q. Ni, B. Li, K. H. Lam et al., “In-construction vibration monitoring of a super-tall structure using a long-range wireless sensing system,” Smart Structures and Systems, vol. 7, no. 2, pp. 83–102, 2011. View at Scopus
  26. B. F. Spencer Jr. and S. Cho, “Recent advances in wireless structural health monitoring of civil infrastructure,” in Proceedings of the International Symposium on Innovation & Sustainability of Structures in Civil Engineering, pp. 143–165, Southeast University Press, Xiamen, China, 2011.
  27. J. A. Rice, K. A. Mechitov, S. H. Sim, B. F. Spencer Jr., and G. A. Agha, “Enabling framework for structural health monitoring using smart sensors,” Structural Control and Health Monitoring, vol. 18, no. 5, pp. 574–587, 2011. View at Publisher · View at Google Scholar · View at Scopus
  28. A. T. Zimmerman, M. Shiraishi, R. A. Swartz, and J. P. Lynch, “Automated modal parameter estimation by parallel processing within wireless monitoring systems,” Journal of Infrastructure Systems, vol. 14, no. 1, pp. 102–113, 2008. View at Publisher · View at Google Scholar · View at Scopus
  29. Y. Lei, W. A. Shen, Y. Song, and Y. Wang, “Intelligent wireless sensors with application to the identification of structural modal parameters and steel cable forces: from the lab to the field,” Advances in Civil Engineering, vol. 2010, Article ID 316023, 9 pages, 2010. View at Publisher · View at Google Scholar · View at Scopus
  30. F. Casciati, L. Faravelli, and R. Rossi, “Architecture optimization for wireless sensor networks,” in Smart Structures and Materials 2005: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, vol. 5765 of Proceedings of SPIE, pp. 253–258, San Diego, Calif, USA, March 2005. View at Publisher · View at Google Scholar · View at Scopus
  31. S. Casciati and Z. Chen, “A multi-channel wireless connection system for structural health monitoring applications,” Structural Control and Health Monitoring, vol. 18, no. 5, pp. 588–600, 2011. View at Publisher · View at Google Scholar · View at Scopus
  32. S. Casciati, L. Faravelli, and Z. Chen, “Energy harvesting and power management of wireless sensors for structural control applications in civil engineering,” Smart Structures and Systems, vol. 10, no. 3, pp. 299–312, 2012.
  33. Q. Wu, Y. Gu, and N. S. V. Rao, “Optimizing cluster heads for energy efficiency in large-scale heterogeneous wireless sensor networks,” International Journal of Distributed Sensor Networks, vol. 2010, Article ID 961591, 9 pages, 2010. View at Publisher · View at Google Scholar · View at Scopus
  34. Y. Lei, Z. L. Lai, L. J. Liu, Y. L. Tan, and J. X. Wang, “A new type wireless sensor network for distributed structural damage detection,” in Proceedings of the 1st Middle East Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures, Dubai, UAE, February 2011.
  35. IEEE Computer Society, IEEE Standard 802.15.4, The Institute of Electrical and Electronics Engineers, New York, NY, USA, 2003.
  36. Chipcon Inc. Corporation, San Jose, Calif, USA, http://www.chipon.com/.