Browse > Article
http://dx.doi.org/10.12989/smm.2015.2.3.237

An experimental study for decentralized damage detection of beam structures using wireless sensor networks  

Jayawardhana, Madhuka (School of Computing, Engineering & Mathematics, University of Western Sydney)
Zhu, Xinqun (School of Computing, Engineering & Mathematics, University of Western Sydney)
Liyanapathirana, Ranjith (School of Computing, Engineering & Mathematics, University of Western Sydney)
Gunawardana, Upul (School of Computing, Engineering & Mathematics, University of Western Sydney)
Publication Information
Structural Monitoring and Maintenance / v.2, no.3, 2015 , pp. 237-252 More about this Journal
Abstract
This paper addresses the issue of reliability and performance in wireless sensor networks (WSN) based structural health monitoring (SHM), particularly with decentralized damage identification techniques. Two decentralized damage identification algorithms, namely, the autoregressive (AR) model based damage index and the Wiener filter method are developed for structural damage detection. The ambient and impact testing have been carried out on the steel beam structure in the laboratory. Seven wireless sensors are installed evenly along the steel beam and seven wired sensor are also installed on the beam to monitor the dynamic responses as comparison. The results showed that wireless measurements performed very much similar to wired measurements in detecting and localizing damages in the steel beam. Therefore, apart from the usual advantages of cost effectiveness, manageability, modularity etc., wireless sensors can be considered a possible substitute for wired sensors in SHM systems.
Keywords
structural health monitoring; decentralized damage detection; wireless sensor networks;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Anastasi, G., Conti, M., Di Francesco, M. and Passarella A. (2009), "Energy conservation in wireless sensor networks: A survey", Ad Hoc Networks, 7(3), 537-568.   DOI   ScienceOn
2 Aygun, B. and Gungor, V.C. (2011), "Wireless sensor networks for structural health monitoring: recent advances and future research directions", Sensor Rev., 31(3), 261-276.   DOI   ScienceOn
3 Box, G.E., Jenkins, G.M. and Reinsel, G.C. (2013), Time Series Analysis: Forecasting and Control, Wiley. com.
4 Gao, Y., Spencer, B.F. and Ruiz-Sandoval, M. (2006), "Distributed computing strategy for structural health monitoring", Struct. Control Health Monit., 13(1), 488-507.   DOI   ScienceOn
5 Hackmann, G., Guo, W., Yan, G., Sun, Z., Lu, C. and Dyke, S. (2014), "Cyber-physical co-design of distributed structural health monitoring with wireless sensor networks", IEEE T. Parall. Distr., 25(1), 63-72.   DOI   ScienceOn
6 Hackmann, G., Sun, F., Castaneda, N., Lu, C. and Dyke, S. (2012), "A holistic approach to decentralized structural damage localization using wireless sensor networks", Comput. Commun., 36(1), 29-41.   DOI   ScienceOn
7 Jayawardhana, M., Zhu, X.Q. and Liyanapathirana, R. (2011), "Structural damage detection of RC structures using AR model coefficients", Proceedings of the 14th Asia Pacific Vibration Conference, December 2011, Hong Kong.
8 Jayawardhana, M., Zhu, X.Q. and Liyanapathirana, R. (2013), "Decentralized damage detection of RC structures using the Wiener filter", Australian J. Struct. Eng., 14(1), 57-69.
9 Jindal, A. and Liu, M. (2012), "Networked computing in wireless sensor networks for structural health monitoring", IEEE/ACM T. Networking, 20(4), 1203-1216.   DOI   ScienceOn
10 Kim, J. and Lynch, J. (2012), "Autonomous decentralized system identification by Markov parameter estimation using distributed smart wireless sensor networks", J. Eng. Mech. - ASCE, 138(5), 478-490.   DOI
11 Ling, Q., Tian, Z., Yin, Y. and Li, Y. (2009), "Localized structural health monitoring using energy-efficient wireless sensor networks", IEEE Sens. J., 9(11), 1596-1604.   DOI   ScienceOn
12 Liu, X., Cao, J., Xu, Y., Wu, H. and Liu Y. (2009), "A multi-scale strategy in wireless sensor networks for structural health monitoring", Proceedings of the 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP).
13 Lynch, J.P. and Loh, K.J. (2006), "A summary review of wireless sensors and sensor networks for structural health monitoring", Shock Vib. Digest, 38(2), 91-130.   DOI   ScienceOn
14 Lynch, J.P. (2007), "An overview of wireless structural health monitoring for civil structures", Philos. T. R. Soc. A, 365(1851), 345-372.   DOI   ScienceOn
15 Meo, M. and Zumpano, G. (2005), "On the optimal sensor placement techniques for a bridge structure", Eng. Struct., 27(10), 1488-1497.   DOI   ScienceOn
16 Pakzad, S., Fenves, G., Kim, S. and Culler, D. (2008), "Design and implementation of scalable wireless sensor network for structural monitoring", J. Infrastruct. Syst. - ASCE, 14(1), 89-101.   DOI   ScienceOn
17 Zhou, G.D., Yi, T.H., Zhang, H. and Li, H.N. (2014), "Energy-aware wireless sensor placement in structural health monitoring using hybrid discrete firefly algorithm", Struct. Control Health Monit., DOI: 10.1002/stc.1707.   DOI   ScienceOn
18 Pottie, G.J. and Kaiser, W.J. (2000), "Wireless integrated network sensors", Communications of the ACM, 43(5), 51-58.   DOI   ScienceOn
19 Spencer, B.F., Jo, H., Mechitov, K.A., Li, J., Sim, S.H., Kim, R.E., Cho, S., Linderman, L.E., Moinzadeh, P., Giles, R.K. and Agha, G. (2015), "Recent advances in wireless smart sensors for multi-scale monitoring and control of civil infrastructure", J. Civil Struct. Health Monit., DOI 10.1007/s13349-015-0111-1.   DOI
20 Zhou, G.D. and Yi, T.H. (2013), "Recent developments on wireless sensor networks technology for bridge health monitoring", Mathematical Problems in Engineering, Article ID 947867, http://dx.doi.org/10.1155/2013/947867.   DOI
21 Zimmerman, A.T., Shiraishi, M., Swartz, R.A. and Lynch, J.P. (2008), "Automated modal parameter estimation by parallel processing within wireless monitoring systems", J. Infrastruct. Syst. - ASCE, 14(1), 102-113.   DOI   ScienceOn