Wind and Structures

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Buffeting-induced stresses in a long suspension bridge: structural health monitoring oriented stress analysis

  • Liu, T.T. (Department of Engineering Mechanics, Dalian University of Technology) ;
  • Xu, Y.L. (Department of Civil and Structural Engineering, The Hong Kong Polytechnic University) ;
  • Zhang, W.S. (Department of Engineering Mechanics, Dalian University of Technology) ;
  • Wong, K.Y. (Bridges and Structures Division, Highways Department, The Government of Hong Kong Special Administrative Region) ;
  • Zhou, H.J. (Department of Civil and Structural Engineering, The Hong Kong Polytechnic University) ;
  • Chan, K.W.Y. (Bridges and Structures Division, Highways Department, The Government of Hong Kong Special Administrative Region)
  • Received : 2007.08.20
  • Accepted : 2009.06.22
  • Published : 2009.11.25
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Abstract

Structural health monitoring (SHM) systems have been recently embraced in long span cable-supported bridges, in which buffeting-induced stress monitoring is one of the tasks to ensure the safety of the bridge under strong winds. In line with this task, this paper presents a SHM-oriented finite element model (FEM) for the Tsing Ma suspension bridge in Hong Kong so that stresses/strains in important bridge components can be directly computed and compared with measured ones. A numerical procedure for buffeting induced stress analysis of the bridge based on the established FEM is then presented. Significant improvements of the present procedure are that the effects of the spatial distribution of both buffeting forces and self-excited forces on the bridge deck structure are taken into account and the local structural behaviour linked to strain/stress, which is prone to cause local damage, are estimated directly. The field measurement data including wind, acceleration and stress recorded by the wind and structural health monitoring system (WASHMS) installed on the bridge during Typhoon York are analyzed and compared with the numerical results. The results show that the proposed procedure has advantages over the typical equivalent beam finite element models.

Keywords

References

  1. Cao, Y.D., Xiang, H.F. and Zhou, Y. (2000), "Simulation of stochastic wind velocity field on long-span bridges", J. Eng. Mech. ASCE, 126(1), 1-6. https://doi.org/10.1061/(ASCE)0733-9399(2000)126:1(1)
  2. Chan, T.H.T., Zhou, T.Q., Li, Z.X. and Guo, L. (2005), "Hot spot stress approach for Tsing Ma Bridge fatigue evaluation under traffic using finite element method", Struct. Eng. Mech., 19(3), 261-279. https://doi.org/10.12989/sem.2005.19.3.261
  3. Chen, X.Z., Matsumoto, M. and Kareem, A. (2000), "Time domain flutter and buffeting response analysis of bridges", J. Struct. Eng. ASCE, 126(1), 7-16.
  4. Davenport, A.G. (1962), "Buffeting of a suspension bridge by storm winds", J. Struct. Div. ASCE, 88, 233-268.
  5. HKO (1999), Typhoon York (9915): 12-17 September 1999, Hong Kong Observatory, (http://www.info.gov.hk/hko/informtc/tork/report.htm), Sept. 1999.
  6. Jain, A., Jones, N.P. and Scanlan, R.H. (1996), "Coupled flutter and buffeting analysis of long-span bridges", J. Struct. Eng. ASCE, 122(7), 716-725. https://doi.org/10.1061/(ASCE)0733-9445(1996)122:7(716)
  7. Lau, D.T., Cheung, M.S. and Cheng, S.H. (2000), "3D flutter analysis of bridges by spline finite-strip method", J. Struct. Eng. ASCE, 126(10), 1246-1254. https://doi.org/10.1061/(ASCE)0733-9445(2000)126:10(1246)
  8. Li, X.Z., Chan, T.H.T. and Ko, J.M. (2002), "Evaluation of typhoon induced damage for Tsing Ma Bridge", Eng. Struct., 24, 1035-1047. https://doi.org/10.1016/S0141-0296(02)00031-7
  9. Lin, Y.K. and Yang, J.N. (1983), "Multimode bridge response to wind excitations", J. Eng. Mech. ASCE, 109, 586-603. https://doi.org/10.1061/(ASCE)0733-9399(1983)109:2(586)
  10. Liu, G., Xu, Y.L. and Zhu, L.D. (2004), "Time domain buffeting analysis of long suspension bridges under skew winds", Wind Struct., 7(6), 421-447. https://doi.org/10.12989/was.2004.7.6.421
  11. Scanlan, R.H. and Gade, R.H. (1977), "Motion of suspension bridge spans under gusty wind", J. Struct. Div. ASCE, 103, 1867-1883.
  12. Simiu, E. and Scanlan, R.H. (1996), Wind Effects on Structures, Wiley, New York.
  13. Wong, K.Y. (2002), Structural identification of Tsing Ma Bridge, The Hong Kong Institution of Engineers, 10(1), 38-47.
  14. Wong, K.Y. (2004), "Instrumentation and health monitoring of cable-supported bridges", J. Struct. Control Health Monit., 11, 91-124. https://doi.org/10.1002/stc.33
  15. Xu, Y.L., Ko, J.M. and Zhang, W.S. (1997), "Vibration studies of Tsing Ma long suspension bridge", J. Bridge Eng. ASCE, 2(4), 149-156. https://doi.org/10.1061/(ASCE)1084-0702(1997)2:4(149)
  16. Xu, Y.L., Sun, D.K., Ko, J.M. and Lin, J.H. (2000), "Fully coupled buffeting analysis of Tsing Ma suspension bridge", J. Wind Eng. Ind. Aerod., 85, 97-117. https://doi.org/10.1016/S0167-6105(99)00133-6
  17. Xu, Y.L., Xia, H. and Yan, Q.S. (2003), "Dynamic response of suspension bridge to high wind and running train", J. Bridge Eng. ASCE, 8(1), 46-55. https://doi.org/10.1061/(ASCE)1084-0702(2003)8:1(46)
  18. Zhang, W.S., Wong, K.Y., Xu, Y.L., Liu, T.T., Zhou, H.J. and Chan, K.W.Y. (2007), "Buffeting-induced Stresses in a Long Suspension Bridge: Structural Health Monitoring Oriented Finite Element Model", Research Report, Department of Civil and Structural Engineering, The Hong Kong Polytechnic University.

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