A Bridge Health Monitoring System Based on Wireless Smart Aggregates

Article Preview

Abstract:

Researches on health monitoring technology of concrete structures by using piezoelectric smart aggregates have achieved a great development. However, the technique is not widely used so far in practical engineering.   Because when constructing large-scale structural health monitoring (SHM) system using wire-based sensors, it requires a lot of cables to form a monitoring network, resulting in huge cost of abundant material of wires and labor for wire placement, and the relatively heavy maintenance work in case of failure of the SHM system. A kind of wireless sensor network based on the protocol for Zigbee802.15.4 and the passive piezoelectric smart health monitoring technology is developed in the paper. Through internal load monitoring tests of a concrete bridge model under impact loading, the developed wireless smart aggregate (WSA) health monitoring system is experimentally validated. The finite element method (FEM) is used to simulate the process as the same as the bridge model test, and the numerical results are consistent with those of the experiment. The experimental results show that the developed wireless system is stable and reliable, and can be applied in concrete bridge structure health monitoring under impact loading.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1138-1144

Citation:

Online since:

July 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] X.Z. Lu, Y.S. Zhang, S.T. He and X. Lu. Engineering Mechanics Vol. 26 (2009), p.115. (In Chinese).

Google Scholar

[2] X.Z. Lu, X. Lu, Y.S. Zhang and S.T. He. China Journal of Highway and Transport Vol. 24 (2011), p.49. (In Chinese).

Google Scholar

[3] G. Kawiecki. Journal of Intelligent Material Systems and Structures Vol. 3 (1998), p.189.

Google Scholar

[4] Y.S. Roh and F.K. Chang: Built in Diagnostics for Identifying an Anomaly in Plates Using Wave Scattering (PhD thesis of University of Stanford, 1999).

Google Scholar

[5] C.S. Wang, F. Wu and F.K. Chang. Smart Materials and Structures Vol. 3 (2001), p.548.

Google Scholar

[6] J. Sirohi and I. Chopra. Journal of Intelligent Material Systems and Structures Vol. 11 (2000) , p.246.

Google Scholar

[7] M.M. Saafi and T. Sayyah. Composites Part B: Engineering Vol. 32(2001), p.333.

Google Scholar

[8] H.N. Li and X.Y. Zhao. Engineering Mechanics and Engineering Vibration Vol. 24 (2004), p.165. (In Chinese).

Google Scholar

[9] M.Q. Sun, W.J. Staszewski, R.N. Swamy and Z.Q. Li. Journal of Building Materials Vol. 7(2004), p.145. (In Chinese).

Google Scholar

[10] X.M. Yang: Research on Performance Monitoring System and Damage Identification Method for Civil Engineering Structures (PhD thesis of Tianjin University, 2006). (In Chinese).

Google Scholar

[11] S. Yan, W. Sun, Advances in Science and Technology, Vol. 56(2008), p.469.

Google Scholar

[12] S. Yan, W. Sun, G. Song, Smart Materials and Structures, Vol. 18(2009), p.1.

Google Scholar

[13] W. Sun: Health Monitoring Technology for Smart Concrete Struetures Using Piezoeleetrie Ceramic (PhD thesis of Dalian University of Technology, 2009). (In Chinese).

Google Scholar

[14] S. Yan and W. Sun, Chinese Patent, 200, 810, 010, 010. 8. (2010). (In Chinese).

Google Scholar

[15] S. Yan, J.X. Wu, W. Sun and H. Yan, Chinese Patent, 201, 220, 535, 065. 2. (2013). (In Chinese).

Google Scholar

[16] L.M. Sun, J.Z. Li, Y. Chen: Wireless Sensor Networks (Tsinghua University Press, Beijing China 2005). (In Chinese).

Google Scholar

[17] Y. Yu, J. Ou, and H. Li. Smart Structures and Systems Vol. 6 (2010), p.641.

Google Scholar