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International Journal of Distributed Sensor Networks
Volume 2012 (2012), Article ID 560161, 17 pages
Feasibility of Output-Only Modal Identification Using Wireless Sensor Network: A Quantitative Field Experimental Study
1Department of Civil Engineering, Xiamen University, Xiamen 361005, China
2Department of Civil and Structural Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
3Department of Civil Engineering and Mechanics, Huazhong University of Science and Technology, Wuhan 430074, China
4School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
Received 2 August 2012; Accepted 27 September 2012
Academic Editor: Ting-Hua Yi
Copyright © 2012 Wen-ai Shen 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.
- E. G. Straser and A. S. Kiremidjian, “A modular, wireless damage monitoring system for structures,” Tech. Rep. 128, The John A. Blume Earthquake Engineering Center, Stanford, Calif, USA, 1998.
- E. G. Straser, A. S. Kiremidjian, T. H. Meng, and L. Redlefsen, “Modular, wireless network platform for monitoring structures,” in Proceedings of the 16th International Modal Analysis Conference (IMAC'98), Part 1, pp. 450–456, Santa Barbara, Calif, USA, February 1998.
- J. P. Lynch, Decentralization of wireless monitoring and control technologies for smart civil structures [Ph.D. thesis], Department of Civil and Environmental Engineering, Stanford University, Stanford, Calif, USA, 2002.
- J. P. Lynch and K. J. Loh, “A summary review of wireless sensors and sensor networks for structural health monitoring,” Shock and Vibration Digest, vol. 38, pp. 91–128, 2006.
- 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.
- B. F. Spencer Jr., M. E. Ruiz-Sandoval, and N. Kurata, “Smart sensing technology: opportunities and challenges,” Structural Control and Health Monitoring, vol. 11, no. 4, pp. 349–368, 2004.
- J. A. Rice and B. F. Spencer, “Flexible flexible smart mart sensor framework for autonomous full-scale structural health monitoring,” NSEL Report Series NSEL-018, Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, Ill, USA, 2009.
- S. N. Pakzad, G. L. Fenves, S. Kim, and D. E. Culler, “Design and implementation of scalable wireless sensor network for structural monitoring,” Journal of Infrastructure Systems, vol. 14, no. 1, pp. 89–101, 2008.
- Y. Yu and J. Ou, “Design of wireless intelligent sensor for structural health monitoring,” in Proceedings of the Intelligent Sensors, Sensor Networks and Information Processing Conference (ISSNIP'04), pp. 1–5, Melbourne, Australia, December 2004.
- 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.
- 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.
- 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.
- S. Kim, S. Pakzad, D. Culler et al., “Health monitoring of civil infrastructures using wireless sensor networks,” in Proceedings of the 6th International Symposium on Information Processing in Sensor Networks (IPSN'07), pp. 254–263, Cambridge, Mass, USA, April 2007.
- S. N. Pakzad and G. L. Fenves, “Statistical analysis of vibration modes of a suspension bridge using spatially dense wireless sensor network,” Journal of Structural Engineering, vol. 135, no. 7, pp. 863–872, 2009.
- J. P. Lynch, Y. Wang, K. J. Loh, J. H. Yi, and C. B. Yun, “Performance monitoring of the Geumdang Bridge using a dense network of high-resolution wireless sensors,” Smart Materials and Structures, vol. 15, no. 6, pp. 1561–1575, 2006.
- Y. Wang, J. P. Lynch, and K. H. Law, “A wireless structural health monitoring system with multithreaded sensing devices: design and validation,” Structure and Infrastructure Engineering, vol. 3, no. 2, pp. 103–120, 2007.
- M. J. Whelan, M. V. Gangone, K. D. Janoyan, and R. Jha, “Operational modal analysis of a multi-span skew bridge using real-time wireless sensor networks,” Journal of Vibration and Control, vol. 17, no. 13, pp. 1952–1963, 2011.
- J. H. Weng, C. H. Loh, J. P. Lynch, K. C. Lu, P. Y. Lin, and Y. Wang, “Output-only modal identification of a cable-stayed bridge using wireless monitoring systems,” Engineering Structures, vol. 30, no. 7, pp. 1820–1830, 2008.
- Y. Lei, A. S. Kiremidjian, K. K. Nair, J. P. Lynch, and K. H. Law, “Algorithms for time synchronization of wireless structural monitoring sensors,” Earthquake Engineering and Structural Dynamics, vol. 34, no. 6, pp. 555–573, 2005.
- H. Li, S. Li, J. Ou, and H. Li, “Modal identification of bridges under varying environmental conditions: temperature and wind effects,” Structural Control and Health Monitoring, vol. 17, no. 5, pp. 495–512, 2010.
- MaxStream Inc., XStream OEM RF Module Product Manual V4.2B5, MaxStream Inc., Lindon, Utah, USA, 2007.
- B. Sundararaman, U. Buy, and A. D. Kshemkalyani, “Clock synchronization for wireless sensor networks: a survey,” Ad Hoc Networks, vol. 3, no. 3, pp. 281–323, 2005.
- Z. Q. Feng and L. S. Katafygiotis, “A method for correcting synchronization errors in wireless sensors for structural modal identification,” in Proceeding of 12th East Asia-Pacific Conference on Structural Engineering and Construction (EASEC'12), pp. 498–505, Hong Kong, China, January 2011.
- W. F. Welsh, “On the reliability of cross-correlation function lag determinations in active galactic nuclei,” Publications of the Astronomical Society of the Pacific, vol. 111, no. 765, pp. 1347–1366, 1999.
- N. Patwari, J. N. Ash, S. Kyperountas, A. O. Hero, R. L. Moses, and N. S. Correal, “Locating the nodes: cooperative localization in wireless sensor networks,” IEEE Signal Processing Magazine, vol. 22, no. 4, pp. 54–69, 2005.
- C. Chatfield, The Analysis of Time Series: An Introduction, Chapman & Hall, London, UK, 5th edition, 1996.
- J. P. Abenstein and W. J. Tompkins, “A new data-reduction algorithm for real-time ECG analysis,” IEEE Transactions on Biomedical Engineering, vol. 29, no. 1, pp. 43–48, 1982.
- R. Brincker, L. Zhang, and P. Andersen, “Modal identification of output-only systems using frequency domain decomposition,” Smart Materials and Structures, vol. 10, no. 3, pp. 441–445, 2001.
- P. van Overschee and B. de Moor, “Subspace algorithms for the stochastic identification problem,” Automatica, vol. 29, no. 3, pp. 649–660, 1993.
- B. Peeters and G. de Roeck, “Reference-based stochastic subspace identification for output-only modal analysis,” Mechanical Systems and Signal Processing, vol. 13, no. 6, pp. 855–878, 1999.
- R. J. Allemang, “The modal assurance criterion—twenty years of use and abuse,” Sound and Vibration, vol. 37, no. 8, pp. 14–21, 2003.
- M. Meo and G. Zumpano, “On the optimal sensor placement techniques for a bridge structure,” Engineering Structures, vol. 27, no. 10, pp. 1488–1497, 2005.
- 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.
- T. H. Yi, H. N. Li, and M. Gu, “Optimal sensor placement for health monitoring of high-rise structure based on genetic algorithm,” Mathematical Problems in Engineering, vol. 2011, Article ID 395101, 12 pages, 2011.
- 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. 881–900, 2011.
- T. H. Yi and H. N. Li, “Methodology developments in sensor placement for health monitoring of civil infrastructures,” International Journal of Distributed Sensor Networks, vol. 2012, Article ID Article number612726, 11 pages, 2012.
- M. Bocca, L. M. Eriksson, A. Mahmood, R. Jäntti, and J. Kullaa, “A synchronized wireless sensor network for experimental modal analysis in structural health monitoring,” Computer-Aided Civil and Infrastructure Engineering, vol. 26, no. 7, pp. 483–499, 2011.
- P. Dallard, T. Fitzpatrick, A. Flint et al., “London Millennium bridge: pedestrian-induced lateral vibration,” Journal of Bridge Engineering, vol. 6, no. 6, pp. 412–417, 2001.
- S. H. Ju and H. T. Lin, “Numerical investigation of a steel arch bridge and interaction with high-speed trains,” Engineering Structures, vol. 25, no. 2, pp. 241–250, 2003.
- W. X. Rent and Z. H. Zong, “Output-only modal parameter identification of civil engineering structures,” Structural Engineering and Mechanics, vol. 17, no. 3-4, pp. 429–444, 2004.
- 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.
- S. Zhu, W. A. Shen, and Y. L. Xu, “Linear electromagnetic devices for vibration damping and energy harvesting: modeling and testing,” Engineering Structures, vol. 34, pp. 198–212, 2012.
- W. A. Shen, S. Zhu, and Y. L. Xu, “An experimental study on self-powered vibration control and monitoring system using electromagnetic TMD and wireless sensors,” Sensors and Actuators A, vol. 180, pp. 166–176, 2012.