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http://dx.doi.org/10.12989/sss.2015.15.3.555

Research and practice of health monitoring for long-span bridges in the mainland of China  

Li, Hui (Key Lab of Structures Dynamic Behavior and Control (Harbin Institute of Technology), The Ministry of Education)
Ou, Jinping (Key Lab of Structures Dynamic Behavior and Control (Harbin Institute of Technology), The Ministry of Education)
Zhang, Xigang (CCCC Highway Consultants CO., Ltd.)
Pei, Minshan (CCCC Highway Consultants CO., Ltd.)
Li, Na (CCCC Highway Consultants CO., Ltd.)
Publication Information
Smart Structures and Systems / v.15, no.3, 2015 , pp. 555-576 More about this Journal
Abstract
The large number of long-span bridges constructed in China motivates the applications of structural health monitoring (SHM) technology. Many bridges have been equipped with sophisticated SHM systems in the mainland of China and in Hong Kong of China. Recently, SHM technology has been extended to field test systems. In this view, SHM can serve as a tool to develop the methods of life-cycle performance design, evaluation, maintenance and management of bridges; to develop new structural analysis methods through validation and feedback from SHM results; and to understand the behavior of bridges under natural and man-made disasters, rapidly assess the damage and loss of structures over large regions after disasters, e.g., earthquake, typhoon, flood, etc. It is hoped that combining analytical methods, numerical simulation, small-scale tests and accelerated durability tests with SHM could become the main engine driving the development of bridge engineering. This paper demonstrates the above viewpoint.
Keywords
structural health monitoring; bridge; life-cycle performance evaluation; data;
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1 Ansari, F. (2008), "Practical implementation of optical fiber sensors in civil structural health monitoring", J. Intel. Mat. Syst. Str., 19(10), 1163-1172.   DOI
2 Bao, X.,Webb, D.J. and Jackson, D.A. (1993), "32-km distributed temperature sensor based on Brillouin loss in an optical fiber", Opt. Lett., 18(18), 1561-1563.   DOI
3 Bao, Y., Beck, J.L. and Li, H. (2011), "Compressive sampling for accelerometer signals in structural health monitoring", Struct. Health Monit., 10(3), 235-246.   DOI   ScienceOn
4 Bao, Y., Li, H., An, Y. and Ou, J. (2012), "Dempster-Shafer evidence theory approach to structural damage detection", Struct. Health Monit., 11(1), 13-26.   DOI
5 Bao, Y., Wu, F., Zhu, X., Zhang, X. and Li, H. (2012), "A mobile wireless sensor-based structural health monitoring technique", Workshop on Civil Structural Health Monitoring (CSHM-4), Berlin, Germany.
6 Bao, Y., Li, H., Sun, X., Yan, Y. and Ou, J.P. (2013), "Compressive sampling-based data loss recovery for wireless sensor networks used in civil structural health monitoring", Struct. Health Monit., 12(1), 78-95.   DOI
7 Bao, Y., Li, H., Zhang, F. and Ou, J. (2013), "Compressive sampling based approach for identification of moving loads distribution on cable-stayed bridges", Proceedings of the SPIE Smart Structures/NDE, 11-15 March, San Diego, California USA.
8 Chen, W.L., Li, H., Ou, J.P and Li, F.C. (2013), "Numerical simulation of vortex-induced vibrations of inclined cables under different wind profiles", J. Bridge Eng. -ASCE, 18(1), 42-53.   DOI
9 Chen, Z.C., Li, H. and Bao, Y. (2014), "Computer vision based approach for identification of moving loads distribution on long-span bridges", Proceedings of the 5th Asia-Pacific Workshop on Structural Health Monitoring, Shenzhen, China, December 4-5, 2014 (CD-ROM).
10 Doebling, S.W., Farrar, C.R., Prime, M.B. and Shevitz, D.W. (1996), Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review, LA--13070-MS, Los Alamos National Laboratory, New Mexico, USA.
11 Dong, Y.K., Ba, D.X., Jiang, T.F., Zhou, D.W., Zhang, H.Y., Zhu, C.Y., Lu, Z.W, Li, H., Chen, L. and Bao, X.Y. (2013), "High-spatial-resolution fast BOTDA for dynamic strain measurement based on differential double-pulse and second-order sideband of Modulation", IEEE Photonics J., 5(3), 2600407.   DOI
12 Faber, M.H., Engelund, S. and Rachwits, R. (2003), "Aspects of parallel wire cable reliability", Struct. Saf., 25(2), 201-225.   DOI
13 Gu, Y.M., Li, S.L, Li, H. and Guo, Z.M. (2014), "A novel Bayesian extreme value distribution model of vehicle loads incorporating de-correlated tail fitting: Theory and application to the Nanjing 3rd Yangtze River Bridge", Eng. Struct., 59, 386-392.   DOI
14 Ko, J.M., Ni, Y.Q., Zhou, H.F. et al. (2009), "Investigation concerning structural health monitoring of an instrumented cable-stayed bridge", Struct. Infrastruct. E., 5(6), 497-513.   DOI
15 Koh, H.M., Lee, H.S., Kim, S.K. and Choo, J.F. (2009), Monitoring of bridges in Korea, Chapter 124 in Encyclopedia of Structural Health Monitoring, (Eds., C. Boller, F.K. Chang and Y. Fujino), John Wiley & Sons, Ltd.
16 Laima, S.J., Li, H., Chen, W.L and Li, F.C. (2013), "Investigation and control of vortex-induced vibration of twin box girders", J. Fluid. Struct., 39, 205-221.   DOI
17 Lan, C.M., Li, H. and Ou, J.P. (2011), "Traffic load modeling based on structural health monitoring data", Struct. Infrastruct. E., 7(5), 379-386.   DOI
18 Li, H., Ou, J.P. and Zhou, Z. (2009). "Application of optical fibre Bragg gatings sensing technology-based smart stay cables", Opt. Laser. Eng., 47(10), 1077-1084.   DOI
19 Li, H., Bao, Y. and Ou, J. (2008), "Structural damage identification based on integration of information fusion and Shannon entropy", Mech. Syst. Signal Pr., 22, 1427-1440.   DOI
20 Li, H., Laima, S.J., Zhang, Q.Q., Li, N. and Liu, Z.Q. (2014), "Field monitoring and validation of vortex-induced vibrations of a long-span suspension bridge", J. Wind Eng. Ind. Aerod., 124, 54-67.   DOI
21 Li, H., Huang, Y., Ou, J. and Bao, Y. (2011), "Fractal dimension-based damage detection method for beams with a uniform cross-section", Comput. -.Aided Civil Infrastruct. Eng., 26(3), 190-206.   DOI
22 Li, H., Laima, S.J., Ou, J., Zhao, X.F., Zhou, W.S., Yu, Y., Li, N. and Liu, Z.Q. (2011), "Investigation of vortex-induced vibration of a suspension bridge with two separated steelbox girders based on field measurements", Eng. Struct., 33(6),1894-1907.   DOI
23 Li, H., Lan, C.M., Ju, Y. and Li, D.S. (2012), "Experimental and numerical study of the fatigue properties of corroded parallel wire cables", J. Bridge Eng. -ASCE, 17(2), 211-220.   DOI
24 Li, H., Zhang, F.J. and Jin, Y.Z. (2014), "Real-time identification of the time-varying tension of stay cables with monitored cable transversal acceleration", Struct. Control Health Monit., 21(7), 1100-1117.   DOI
25 Lynch, J. and Loh, K.J. (2005), "A summary review of wireless sensors and sensor networks for structuralhealth monitoring", Shock Vib. Digest, 38(2), 91-128.   DOI
26 Ou, J.P. and Li, H. (2010), "Structural health monitoring in mainland China: review and future trends", Struct. Health Monit., 9(3), 219-231.   DOI
27 Yu, Y., Ou, J., Zhang, J, Zhang, C. and Li, L. (2009), "Development of wireless MEMS inclination sensor system for swing monitoring of large scale hook structures", IEEE T. Ind. Electron., 56(4), 1072-1078.   DOI   ScienceOn
28 Sohn, H., Farrar, C.R., Hemez, F.M., Shunk, D.D., Stinemates, D.W. and Nadler, B.R. (2003), A review of structural health monitoring literature: 1996-2001, Laboratory Report, LA-13976-MS, Los Alamos National Laboratory, New Mexico, USA.
29 Spencer Jr., B.F., Ruiz-Sandoval, M. and Kurata, N. (2004), "Smart sensing technology: opportunities and challenges", Struct. Control Health Monit., 11, 349-368.   DOI
30 Yang. Y.C., Li, S.L., Nagarajaiah, S., Li, H. and Zhou, P. (2015), "Real-time output-only identification of time-varying cable tension via complexity pursuit", J. Struct. Eng. -ASCE, (accepted).
31 Zhang, F.J. (2013), Identification and modeling approaches of tension in stay cables and vehicles on cable-stayed bridges, Ph.D. Thesis of Harbin Institute of Technology.
32 Zhou, Z. and Ou, J. (2009), "R&D of optical fiber based sensors and their applications", Proceedings of the SEM 2009 Annual Conference, Albuquerque, New Mexico, June 1 -4, 2009, USA.