Smart Structures and Systems

  • 제21권5호
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  • Pages.611-621
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  • 2018
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

An integrated structural health monitoring system for the Xijiang high-speed railway arch bridge

  • He, Xu-hui (School of Civil Engineering, Central South University) ;
  • Shi, Kang (School of Civil Engineering, Central South University) ;
  • Wu, Teng (School of Civil Engineering, Central South University)
  • 투고 : 2017.12.02
  • 심사 : 2018.03.24
  • 발행 : 2018.05.25
⟨ 이전 논문 다음 논문 ⟩

초록

Compared with the highway bridges, the relatively higher requirement on the safety and comfort of vehicle makes the high-speed railway (HSR) bridges need to present enhanced dynamic performance. To this end, installing a health monitor system (HMS) on selected key HSR bridges has been widely applied. Typically, the HSR takes fully enclosed operation model and its skylight time is very short, which means that it is not easy to operate the acquisition devices and download data on site. However, current HMS usually involves manual operations, which makes it inconvenient to be used for the HSR. Hence, a HMS named DASP-MTS (Data Acquisition and Signal Processing - Monitoring Test System) that integrates the internet, cloud computing (CC) and virtual instrument (VI) techniques, is developed in this study. DASP-MTS can realize data acquisition and transmission automatically. Furthermore, the acquired data can be timely shared with experts from various locations to deal with the unexpected events. The system works in a Browser/Server frame so that users at any places can obtain real-time data and assess the health situation without installing any software. The developed integrated HMS has been applied to the Xijiang high-speed railway arch bridge. Preliminary analysis results are presented to demonstrate the efficacy of the DASP-MTS as applied to the HSR bridges. This study will provide a reference to design the HMS for other similar bridges.

키워드

과제정보

연구 과제 주관 기관 : National Natural Science Foundations of China

참고문헌

  1. Andersen, E.Y. and Pedersen, L. (1994), "Structural monitoring of the Great Belt East Bridge", Strait crossings, 94, 189-195.
  2. Beloglazov, A., Buyya, R., Lee, Y.C. and Zomaya, A. (2011), "A taxonomy and survey of energy-efficient data centers and cloud computing systems", Adv. Comput., 82, 47-111.
  3. Cho, S., Jo, H., Jang, S., Park, J., Jung, H.J., Yun, C.B., Spencer Jr, B.F. and Seo, J.W. (2010), "Structural health monitoring of a cable-stayed bridge using wireless smart sensor technology: data analyses", Smart Struct. Syst., 6(5), 461-480. https://doi.org/10.12989/sss.2010.6.5_6.461
  4. Ding, Y.L., Sun, P., Wang, G.X., Song, Y.S., Wu, L.Y., Yue, Q. and Li, A.Q. (2015a), "Early-warning method of train running safety of a high-speed railway bridge based on transverse vibration monitoring", Shock Vib., 2015.
  5. Ding, Y.L., Wang, G.X., Sun, P., Wu, L.Y. and Yue, Q. (2015b), "Long-term structural health monitoring system for a highspeed railway bridge structure", The Sci. World J., 2015.
  6. Frandsen, J.B. (2001), "Simultaneous pressures and accelerations measured full-scale on the Great Belt East suspension bridge", J. Wind Eng. Ind. Aerod., 89(1), 95-129. https://doi.org/10.1016/S0167-6105(00)00059-3
  7. He, X.H., Yu, Z.W. and Chen, Z.Q. (2008), "Finite element model updating of existing steel bridge based on the structural health monitoring", J. Cent. South Univ. Technol., 15(3), 399-403. https://doi.org/10.1007/s11771-008-0075-y
  8. He, X.H., Hua, X.G., Chen, Z.Q. and Huang, F.L. (2011), "EMDbased random decrement technique for modal parameter identification of an existing railway bridge", Eng. Struct., 33(4), 1348-1356. https://doi.org/10.1016/j.engstruct.2011.01.012
  9. He, X.H., Shi, K., Wu, T., Zou, Y.F., Wang, H.F. and Qin, H.X. (2016), "Aerodynamic performance of a novel wind barrier for train-bridge system", Wind Struct., 23(3), 2-20.
  10. He, X.H., Wu, T., Zou, Y.F., Chen, Y.F., Guo, H. and Yu, Z.W. (2017), "Recent developments of high-speed railway bridges in China", Struct. Inf. Eng., 13(12), 1584-1595. https://doi.org/10.1080/15732479.2017.1304429
  11. He, X.H., Qin, H.X., Zou, Y.F., Shi, K., Li, H. and Fang, D.X. (2017), "Field measurement and investigation of wind characteristics at the site of a long-span arch bridge in the periphery of Typhoon Kujira", Hunan Daxue Xuebao, 44(1), 23-31.(in Chinese)
  12. Huynh, T.C., Park, J.H. and Kim, J.T., (2016), "Structural identification of cable-stayed bridge under back-to-back typhoons by wireless vibration monitoring", Meas., 88, 385-401. https://doi.org/10.1016/j.measurement.2016.03.032
  13. Hu, N., Dai, G.L., Yan, B. and Liu, K. (2014), "Recent development of design and construction of medium and long span high-speed railway bridges in China", Eng. Struct., 74, 233-241. https://doi.org/10.1016/j.engstruct.2014.05.052
  14. Jamro, E., Wielgosz, M., Bieniasz, S. and Cioch, W. (2012), "FPGA-ARM heterogeneous system for high speed signal analysis", InSolid State Pheno, 180, 207-213.
  15. Jang, S., Jo, H., Cho, S., Mechitov, K., Rice, J.A., Sim, S.H., Jung, H.J., Yun, C.B., Spencer, B.F. and Agha, G. (2010), "Structural health monitoring of a cable-stayed bridge using smart sensor technology: deployment and evaluation", Smart Struct. Syst., 6 (5-6), 439-459. https://doi.org/10.12989/sss.2010.6.5_6.439
  16. Jeong, S.W., Hou, R., Lynch, J.P., Sohn, H. and Law, K.H. (2016), "Cloud-based cyber infrastructure for bridge monitoring", Proceedings of the 14th ISSE, Oct. 12-14, Qingdao, China.
  17. Khan, M.A. (2016), "A survey of security issues for clouding computing", J. Net. Comp. App., 71, 11-29. https://doi.org/10.1016/j.jnca.2016.05.010
  18. Kim, E., Park, J.W. and Sim, S.H. (2016), "Development of wireless smart sensing framework for structural health monitoring of high-speed railway bridges", J. Korea Acad.-Ind. coop. Soc., 17(5), 1-9. https://doi.org/10.5762/KAIS.2016.17.5.1
  19. Ko, J.M. and Ni, Y.Q. (2005), "Technology developments in structural health monitoring of large-scale bridges", Eng. Struct., 27, 1715-1725. https://doi.org/10.1016/j.engstruct.2005.02.021
  20. Koo, K.Y., Brownjohn, J.M.W., List, D.I. and Cole, R. (2016), "Structural health monitoring of the Tamar suspension bridge", Struct. Control. Health Monit., 20(4), 609-625. https://doi.org/10.1002/stc.1481
  21. Li, H., Ou, J.P., Zhao, X.F., Zhou, W.Z., Li, H.W. and Zhou, Z., (2006), "Structural health monitoring system for the Shandong Binzhou yellow river highway bridges", Comput.-Aided Civ. Inf. Eng., 21, 306-317. https://doi.org/10.1111/j.1467-8667.2006.00437.x
  22. Li, H., Deng, X. and Dai, H., (2007), "Structural damage detection using the combination method of EMD and wavelet analysis", Mech. Syst. Signal Pr., 21(1), 298-306. https://doi.org/10.1016/j.ymssp.2006.05.001
  23. Li, Z., Chen, C. and Wang, K. (2011), "Cloud computing for agent-based urban transportation systems", IEEE Intelligent Sys., 26(1), 73-79. https://doi.org/10.1109/MIS.2011.10
  24. Li, H., Ou, J.P., Zhang, X., Pei, M. and Li, N. (2015), "Research and practice of health monitoring for long-span bridges in the mainland of China", Smart Struct. Syst., 15(3), 555-576. https://doi.org/10.12989/sss.2015.15.3.555
  25. Li, H. and Ou, J.P. (2016), "The state of the art in structural health monitoring of cable-stayed bridges", J. Civ. Struct. Health Monit., 6(1),43-67. https://doi.org/10.1007/s13349-015-0115-x
  26. Necati, C.F., Melih, S. and Frangopol, D.M. (2008), "Structural health monitoring and reliability estimation: Long span truss bridge application with environmental monitoring data", Eng. Struct., 30, 2347-2359. https://doi.org/10.1016/j.engstruct.2008.01.013
  27. Ni, Y.Q., Xia, Y., Liao, W.Y. and Ko, J.M., (2009), "Technology innovation in developing the structural health monitoring system for Guangzhou new TV tower", Struct. Control. Health Monit., 16, 73-98. https://doi.org/10.1002/stc.303
  28. Ni, Y.Q., Wong, K.Y. and Xia, Y., (2011), "Health checks through landmark bridges to sky-high structures", Adv. Struct. Eng., 14 (1), 103-119. https://doi.org/10.1260/1369-4332.14.1.103
  29. Peeters, B., Couvreur, G. and Razinkov, O. (2003), "Continuous monitoring of the Oresund Bridge: System and Data Analysis," Proceedings of the IMAC XXI, A Conf. Exp. Struct. Dyn., Kissimmee, 3-6 February, 2003. CD Version.
  30. Peng, Y., Luo Q. and Liu, Z. (2009), "An automatic evaluation system for IEEE1588 synchronization clock unit", In Elect. Meas. & Instr., ICEMI'09. 9th Inter. Conf., 3-408, IEEE.
  31. Seo, J., Hu, J.W. and Lee, J. (2015), "Summary review of structural health monitoring applications for highway bridges", J. Perform. Const. Fac., 30(4), 04015072.
  32. Skamarock, W.C. and Klemp, J.B. (2008), "A time-split nonhydrostatic atmospheric model for weather research and forecasting applications", J. Comput. Phys., 227(7), 3465-3485. https://doi.org/10.1016/j.jcp.2007.01.037
  33. Sumitro, S., Matsui, Y., Kono, M., Okamoto, T. and Fuji, K. (2001), "Long span bridge health monitoring system in Japan", Pro. SPIE, Health Monit. Manage. Civ. Inf. Sys., 517-524.
  34. Wang, H., Li, A.Q., Guo, T. and Tao, T.Y. (2014), "Establishment and application of the wind and structural health monitoring system for the Runyang Yangtze river bridge", Shock Vib., 2014.
  35. Wang, H,, Tao, T., Li, A. and Zhang, Y. (2016a), "Structural health monitoring system for Sutong cable-stayed bridge", Smart Struct. Syst., 18(2), 317-334. https://doi.org/10.12989/sss.2016.18.2.317
  36. Wang, H., Tao, T. and Wu, T. (2016b), "Wind power spectra for coastal area of East Jiangsu Province based on SHMS", Wind Struct., 22(2), 235-252. https://doi.org/10.12989/was.2016.22.2.235
  37. Wenzel, H. (2009), Health monitoring of bridges, John Wiley&Sons, Ltd., USA.
  38. Wong, K.Y. (2007), "Design of a structural health monitoring system for long-span bridges", Struct. Inf. Eng., 3(2), 169-185. https://doi.org/10.1080/15732470600591117
  39. Wong, K.Y. (2004), "Instrumentation and health monitoring of cable-supported bridges", Struct. Control. Health Monit., 11, 91-124. https://doi.org/10.1002/stc.33
  40. Xia, H., Guo, W.W., Zhang, N. and Sun, G.J. (2008), "Dynamic analysis of a train-bridge system under wind action", Comput. Struct., 86(19-20), 1845-1855. https://doi.org/10.1016/j.compstruc.2008.04.007
  41. Xia, H. and Zhang, N. (2005), "Dynamic analysis of railway bridge under high-speed trains", Comput. Struct., 83(23), 1891-1901. https://doi.org/10.1016/j.compstruc.2005.02.014
  42. Yang, G.H. and Wen, B.Y. (2006), "A device for power quality monitoring based on ARM and DSP", InInd. Elect. App., Proceedings of the 1st IEEE Conf., 1-5, IEEE.
  43. Yan, B., Dai, G.L. and Hu, N. (2015), "Recent development of design and construction of short span high-speed railway bridges in China", Eng. Struct., 100, 707-717. https://doi.org/10.1016/j.engstruct.2015.06.050
  44. Yi, D.D., Ying, H.Q., Liu, X.P., Shen, S. and Lv, Wei. (2014), "The research of data privatization based on cloud wisdom remote monitoring system", Adv. Mat. Res., 945-949,, 3376-3379.
  45. Yu, D.J. and Ren, W.X. (2005), "EMD-based stochastic subspace identification of structures from operational vibration measurements", Eng. Struct., 27(12), 1741-1751. https://doi.org/10.1016/j.engstruct.2005.04.016
  46. Zhang, Q., Cheng, L. and Boutaba, R. (2010), "Cloud computing: state-of-the-art and research challenges", J. Int. Serv. App., 1(1), 7-18. https://doi.org/10.1007/s13174-010-0007-6
  47. Zhou, G.D., Yi, T.H. and Chen, B. (2016), "Innovative design of a health monitoring system and its implementation in a complicated long-span arch bridge", J. Aerospace. Eng., B4016006.