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http://dx.doi.org/10.12989/was.2015.20.2.293

Wireless monitoring of typhoon-induced variation of dynamic characteristics of a cable-stayed bridge  

Park, Jae-Hyung (Department of Ocean Engineering, Pukyong National University)
Huynh, Thanh-Canh (Department of Ocean Engineering, Pukyong National University)
Kim, Jeong-Tae (Department of Ocean Engineering, Pukyong National University)
Publication Information
Wind and Structures / v.20, no.2, 2015 , pp. 293-314 More about this Journal
Abstract
In this paper, wireless monitoring of typhoon-induced variation of dynamic characteristics of a cable-stayed bridge is presented. Firstly, cable-stayed bridge with the wireless monitoring system is described. Wireless vibration sensor nodes are utilized to measure accelerations from bridge deck and stay cables. Also, modal analysis methods are selected to extract dynamic characteristics. Secondly, dynamic responses of the cable-stayed bridge under the attack of two typhoons are analyzed by estimating relationships between wind velocity and dynamic characteristics. Wind-induced variations of deck and cable vibration responses are examined based on the field measurements under the two consecutive typhoons, Bolaven and Tembin. Finally, time-varying analyses are performed to investigate non-stationary random properties of the dynamic responses under the typhoons.
Keywords
wireless monitoring; typhoon-induced variation; dynamic characteristics; cable-stayed bridge;
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Times Cited By KSCI : 13  (Citation Analysis)
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1 Atkan, A.E., Catbas, F.N., Grimmelsman, K.A. and Pervizpour, M. (2003), Development of a model health monitoring guide for major bridges, Research Report, Federal Highway Administration Research and Development.
2 Bendat, J.S. and Piersol, A.G. (1993), Engineering Applications of Correlation and Spectral Analysis, Wiley-Interscience, New York, NY, USA.
3 Bietry, J., Delaunay, D. and Conti, E. (1995), "Comparison of full-scale measurement and computation of wind effects on a cable-stayed bridge", J. Wind Eng. Ind. Aerod., 57(2-3), 225-235.   DOI
4 Cho, S., Lynch, J.P., Lee, J.J. and Yun, C.B. (2010), "Development of an automated wireless tension force estimation system for cable-stayed bridges", J. Intell. Mater. Syst. Struct., 21(1), 361-375.   DOI
5 Evans, A.D. and Falvey, R.J. (2012), Annual Tropical Cyclone Report 2012, Technical Report, Joint Typhoon Warning Center.
6 HM Bridge System (2012), http://hmbridge.iptime.org
7 Ho, D.D., Lee, P.Y., Nguyen, K.D., Hong, D.S., Lee, S.Y., Kim, J.T., Shin, S.W., Yun, C.B. and Shinozuka, M. (2012), "Solar-powered multi-scale sensor node on Imote2 platform for hybrid SHM in cable-stayed bridge", Smart Struc. Syst., 9(2), 145-164.   DOI   ScienceOn
8 Ho, D.D., Nguyen, K.D, Yoon, H.S., and Kim, J.T. (2012), "Multi-scale acceleration-dynamic strain-impedance sensor system for structural health monitoring", Int. J. Distrib. Sens. N., 2012, 1-17.
9 Illinois Structural Health Monitoring Project (2010), Imote2 for Structural Health Monitoring: User's Guide, University of Illinois at Urbana-Champaign.
10 Ho, D.D, Ngo, T.M. and Kim, J.T. (2014), "Impedance-based damage monitoring of steel column connection: numerical simulation", Struct. Monit. Maint., 1(3), 339-356.   DOI
11 Huang, C. and Nagarajaiah, S. (2014), "Experimental study on bridge structural health monitoring using blind source separation method: arch bridge", Struct. Monit. Maint., 1(1), 69-87.   DOI
12 Jang, S., Jo, H., Cho, S., Mechitov, K., Rice, J.A., Sim, S.H., Jung, H.J., Yun, C.B. and Spencer, B.F. (2010), "Structural health monitoring of a cable-stayed bridges using smart sensor technology: deployment and evaluation", Smart Struct. Syst., 6(5-6), 439-459.   DOI
13 Jo, H., Rice, J.A., Spencer, B.F., and Nagayama, T. (2010), "Development of a high-sensitivity accelerometer board for structural health monitoring", Proceedings of the SPIE, San Diego, March.
14 Kim, J.T., Park, J.H., Hong, D.S. and Ho, D.D. (2011), "Hybrid acceleration-impedance sensor nodes on Imote2-platform for damage monitoring in steel girder connections", Smart Struct. Syst., 7(5), 393-416.   DOI
15 Kim, J.T., Huynh, T.C., and Lee, S.Y. (2014), "Wireless structural health monitoring of stay cables under two consecutive typhoons", Struct. Monit. Maint., 1(1), 47-67.   DOI
16 Ko, J.M. and Ni, Y.Q (2005), "Technology developments in structural health monitoring of large-scale bridges", Eng. Struct., 27(12), 1715-1725.   DOI
17 Larsen, A. and Larose, G.L. (2015), "Dynamic wind effects on suspension and cable-stayed bridges", J. Sound Vib., 334, 2-28.   DOI
18 Memsic Co. (2010), Datasheet of ISM400, http://www.memsic.com
19 Li, H.N., Yi, T.H., Ren, L., Li, D.S. and Huo, L.S. (2014), "Reviews on innovations and applications in structural health monitoring for infrastructures", Struct. Monit. Maint., 1(1), 1-45.   DOI
20 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), 91-128.   DOI
21 Meyer, J., Bischoff, R., Feltrin, G. and Motavalli, M. (2010), "Wireless sensor networks for long-term structural health monitoring", Smart Struct. Syst., 6(3), 263-275.   DOI
22 Miller, T.I., Spencer, B.F., Li, J. and Jo, H. (2010), Solar energy harvesting and software enhancements for autonomous wireless smart sensor networks, NSEL Report Series, NSEL-022.
23 Mishra, S.S., Kumar, K. and Krishna, P. (2007), "A study of wind effect on damping and frequency of a long span cable-stayed bridge from rational function approximation of self-excited forces", Wind Struct., 10(3), 215-232.   DOI
24 Nagayama, T., Sim, S.H., Miyamori, Y. and Spencer, B.F. (2007), "Issues in Structural Health Monitoring Employing Smart Sensors", Smart Struct. Syst., 3(3), 299-320   DOI
25 Nagayama, T. and Spencer, B.F. (2007), "Structural health monitoring using smart sensors", NSEL Report Series 001, University of Illinois at Urbana-Champaign.
26 Nguyen, K.D and Kim, J.T. and Park, Y.H. (2013), "Long-Term Vibration Monitoring of Cable-Stayed Bridge Using Wireless Sensor Network", Int. J. Distrib. Sens. N., 2013, 1-9
27 Overschee, V.P. and Moor, B. De (1996), Subspace Identification for Linear System, Kluwer Academic Publisher, Dordrecht, Netherlands.
28 Rice, J.A. and Spencer, B.F. (2009), Flexible smart sensor framework for autonomous full-scale structural health monitoring, NSEL Report Series, NSEL-018.
29 Quatieri, T.F. (2001), Discrete-time Speech Signal Processing: Principles and Practice, Prentice Hall Press, Upper Saddle River, NJ.
30 RM Young Co. (2014), http://www.youngusa.com
31 Spencer, B.F., Ruiz-Sandoval, M.E. and Kurata, N. (2004), "Smart sensing technology: opportunities and challenges", Struct. Conto. Health Monit., 11(4), 349-368   DOI
32 Yi, J.H. and Yun, C.B. (2004), "Comparative study on modal identification methods using output-only information", Struct. Eng. Mech., 17(3-4), 445-446   DOI   ScienceOn
33 Yi, T.H., Li, H.N. and Gu, M. (2013), "Wavelet based multi-step filtering method for bridge health monitoring using GPS and accelerometer", Smart Struct. Syst., 11(4), 331-348.   DOI
34 Zhou, H.F., Ni, Y.Q., Ko, J.M. and Wong, K.Y. (2008), "Modeling of wind and temperature effects on modal frequencies and analysis of relative strength of effect", Wind Struct., 11(1), 35-50   DOI