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Abstract

Structural health monitoring (SHM) technology has been successfully applied to understand the loads, environment actions, and behaviors of a structure subjected to various actions through solving a reverse problem. The sensing technology is a critical part of SHM. In this article, the development of advanced sensing technology and sensors in mainland China in the past decade, such as optic fiber sensing technology, wave propagation-based piezoelectric ceramic (PZT) sensing technology, smart cement-based sensing technology, and corrosion detection technology, have been critically reviewed. In addition, the article also summarizes the application of SHM technologies in earthquake engineering, wind engineering and life-cycle performance evaluation and corresponding progress achieved in mainland China. The challenges and future trends in the development of sensing technology and SHM are put forward in this paper.

Keywords

Structural health monitoring sensing technology life-cycle performance earthquake wind.

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References

Ou, J.P. ( 2005). The state-of-the art and practice of health monitoring system for civil infrastructure in the Mainland of China. In: Proceedings of the Second International Conference on Structural Health monitoring and Intelligent Infrastructure, Shenzhen , China (keynote lecture).

Li H.N. , Li D.S. and Song G.B. ( 2004), Recent applications of fiber optic sensors to health monitoring in civil engineering, Engineering Structures, 26(11), 1647-1657.

Sun R.J. , Sun L.M. , and Sun Z. (2008), Application of FBG sensing technologies to large bridge structural health monitoring, Journal of Tongji University (Natural Science), 36(2): 149-154.

Zhou, Z. ( 2003), Optimal fiber smart Bragg grating sensors and intelligent monitoring systems of civil infrastructures, PhD Thesis, Harbin Institute of Technology, Harbin, China (in Chinese).

Li, H. , Ou, J.P. and Zhou, Z. ( 2009). Applications of optical fibre Bragg gratings sensing technology-based smart stay cables. Optics and Lasers in Engineering , 47(10), 1077-1084.

Zhu, H.P. ( 2009). Smart Method of Structural Damage Detection, Beijing: China Communications Press (in Chinese).

Li H. , Huang Y. , Han W. and Ou J.P. ( 2009), Damage warning of fatigue test of cable based on acoustic emission and fractal theory, Proc. of the 4th International Conference on Structural Health Monitoring on Intelligent Infrastructure (SHMII-4) , Zurich, Switzerland, Paper No. 332 (CD-ROM).

Huang, S.F. , Ye, Z.M. , Hua, Y.L. , Jun, C. , Lua, L.C. and Cheng, X. ( 2007). Effect of forming pressures on electric properties of piezoelectric ceramic/sulphoaluminate cement composites. Composites Science and Technology, 67(1), 135-139.

Han, B.G. , Yu, Y. , Han, B.Z. and Ou, J.P. (2008). Development of a wireless stress/strain measurement system integrated with pressure-sensitive nickel powder-filled cement-based sensors. Sensors and Actuators: A physical, 147(2), 536-543.

10.

Li, H. , Xiao, H.G. and Ou, J.P. ( 2008). Electrical property of cement-based composites filled with carbon black under long-term wet and loading condition. Composites Science and Technology, 68(9), 2114-2119.

11.

Ou, J.P. and Han, B.G. (2009). Piezoresistive cement-based strain sensors and self-sensing concrete components. Journal of Intelligent Material Systems and Structures, 20(3), 329-336.

12.

Qiao, G.F. and Ou, J.P. ( 2007). Corrosion monitoring of reinforcing steel in cement mortar by EIS and ENA. Electrochimica Acta, 52, 8008-8019.

13.

Lan, C.M. , Li, H. and Ou, J.P. (2009). Traffic Load Modeling Based on Structural Health Monitoring Data. Structure & Infrastructure Engineering - Maintenance, Management, Life-Cycle Design & Performance.

14.

Liu, T. , Li, A. and Ding, Y. ( 2006). A damage alarming method of long-span suspension bridges based on Wavelet Packet. In: Proceedings of 4th China-Japan-US Symposium on Structural Control and Monitoring, Hangzhou, China (CD-ROM).

15.

Ding Y.L. , Li A.Q. , Liu T. ( 2008), A study on the WPT-based structural damage alarming of the ASCE benchmark experiments. Advances in Structural Engineering , 11(1): 121-127.

16.

Li, H. , Bao, Y.Q. and Ou, J.P. ( 2008). Structural damage identification based on integration of information fusion and Shannon entropy. Mechanical Systems and Signal Processing, 22, 1427-1440.

Structural Health Monitoring in mainland China: Review and Future Trends

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