Smart Structures and Systems

Techno-Press (테크노프레스)
권호 표지
DOI QR코드

DOI QR Code

Structural health monitoring of a high-speed railway bridge: five years review and lessons learned

  • Ding, Youliang (School of Civil Engineering, Key Laboratory of C&PC Structures of the Ministry of Education, Southeast University) ;
  • Ren, Pu (School of Civil Engineering, Key Laboratory of C&PC Structures of the Ministry of Education, Southeast University) ;
  • Zhao, Hanwei (School of Civil Engineering, Key Laboratory of C&PC Structures of the Ministry of Education, Southeast University) ;
  • Miao, Changqing (School of Civil Engineering, Key Laboratory of C&PC Structures of the Ministry of Education, Southeast University)
  • Received : 2017.12.01
  • Accepted : 2018.03.27
  • Published : 2018.05.25
⟨ Previous Next ⟩

Abstract

Based on monitoring data collected from the Nanjing Dashengguan Bridge over the last five years, this paper systematically investigates the effects of temperature field and train loadings on the structural responses of this long-span high-speed railway bridge, and establishes the early warning thresholds for various structural responses. Then, some lessons drawn from the structural health monitoring system of this bridge are summarized. The main context includes: (1) Polynomial regression models are established for monitoring temperature effects on modal frequencies of the main girder and hangers, longitudinal displacements of the bearings, and static strains of the truss members; (2) The correlation between structural vibration accelerations and train speeds is investigated, focusing on the resonance characteristics of the bridge at the specific train speeds; (3) With regard to various static and dynamic responses of the bridge, early warning thresholds are established by using mean control chart analysis and probabilistic analysis; (4) Two lessons are drawn from the experiences in the bridge operation, which involves the lacks of the health monitoring for telescopic devices on the beam-end and bolt fractures in key members of the main truss.

Keywords

Acknowledgement

Supported by : National Natural Science Foundation of China, Scientific Research Foundation of Graduate School of Southeast University

References

  1. Brenner, N. and Rader, C. (1976), "A new principle for fast fourier transformation", IEEE Acoust. Speech Signal Processing, 24(3), 264-266. https://doi.org/10.1109/TASSP.1976.1162805
  2. Ding, Y.L., An, Y.H. and Wang, C. (2016), "Field monitoring of the train-induced hanger vibration in a high-speed railway steel arch bridge", Smart Struct. Syst., 17(6), 1107-1127. https://doi.org/10.12989/sss.2016.17.6.1107
  3. Ding, Y.L., Wang, G.X., Sun, P., Wu, L.Y. and Yue, Q. (2015), "Long-term structural health monitoring system for a highspeed railway bridge structure", The Scientific World J., 1-17.
  4. Guo T., Liu Z.X., Zhang Y.F. and Pan Z.H. (2015), "Cracking of longitudinal diaphragms in long-span cable-stayed bridges", J. Bridge Eng. - ASCE, 20(11), 04015011. https://doi.org/10.1061/(ASCE)BE.1943-5592.0000771
  5. Kosnik, D.E. and Dowding, C.H. (2015), "Autonomous monitoring of dynamic response of in-service structures for decision support", J. Struct. Eng. - ASCE, 141(1), D4014003. https://doi.org/10.1061/(ASCE)ST.1943-541X.0001044
  6. Mallat, S. (1989), "A theory of multiresolution signal decomposition: The wavelet transform", IEEE T. Pattern Anal., 11(7), 674-693. https://doi.org/10.1109/34.192463
  7. Wang, G.X., Ding, Y.L., Song Y.S., Wu, L.Y., Yue, Q. and Mao, G.H. (2016), "Detection and location of the degraded bearings based on monitoring the longitudinal expansion performance of the main girder of the Dashengguan Yangtze Bridge", J. Perform. Constr. Fac., 30(4), 04015074. https://doi.org/10.1061/(ASCE)CF.1943-5509.0000820
  8. Wang, G.X., Ding, Y.L., Sun, P., Wu, L.Y. and Yue, Q. (2015), "Assessing static performance of the Dashengguan Yangtze Bridge by monitoring the correlation between temperature field and its static strains", Math. Probl. Eng., 1-12.
  9. Wiberg, J. and Karoumi, R. (2009), "Monitoring dynamic behaviour of a long-span railway bridge", Struct. Infrastruct. Eng., 5(5), 419-433. https://doi.org/10.1080/15732470701478578
  10. Ye, X.W., Dong, C.Z. and Liu, T. (2016), "Image-based structural dynamic displacement measurement using different multiobject tracking algorithms", Smart Struct. Syst., 17(6), 935-956. https://doi.org/10.12989/sss.2016.17.6.935
  11. Ye, X.W., Xi, P.S., Su, Y.H., Chen, B. and Han, J.P. (2018), "Stochastic characterization of wind field characteristics of an arch bridge instrumented with structural health monitoring system", Struct. Saf., 71, 47-56. https://doi.org/10.1016/j.strusafe.2017.11.003
  12. Yi, T.H., Li, H.N. and Gu, M. (2013), "Recent research and applications of GPS-based monitoring technology for high-rise structures", Struct. Control Health Monit., 20(5), 649-670. https://doi.org/10.1002/stc.1501
  13. Zhao, H.W., Ding, Y.L., An, Y.H. and Li, A.Q. (2017), "Transverse dynamic mechanical behavior of hangers in the rigid tied-arch bridge under train loads", J. Perform. Constr. Fac., 31(1), 04016072. https://doi.org/10.1061/(ASCE)CF.1943-5509.0000932

Cited by

  1. Classification of Design Methodologies to Minimize Vibrations in Gears and Bearings in the 21st Century: A Review vol.9, pp.10, 2018, https://doi.org/10.3390/machines9100212