DOI QR코드

DOI QR Code

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

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.

Cited by

  1. Locate Damage in Long-Span Bridges Based on Stress Influence Lines and Information Fusion Technique vol.17, pp.8, 2014, https://doi.org/10.1260/1369-4332.17.8.1089
  2. The maintenance and management system of Zhoushan Trans-sea Bridge vol.31, 2015, https://doi.org/10.1051/matecconf/20153111005
  3. SHM-based F-AHP bridge rating system with application to Tsing Ma Bridge vol.5, pp.4, 2011, https://doi.org/10.1007/s11709-011-0135-5
  4. Dynamic Stress Analysis of Long Suspension Bridges under Wind, Railway, and Highway Loadings vol.16, pp.3, 2011, https://doi.org/10.1061/(ASCE)BE.1943-5592.0000216
  5. Stress and acceleration analysis of coupled vehicle and long-span bridge systems using the mode superposition method vol.32, pp.5, 2010, https://doi.org/10.1016/j.engstruct.2010.01.013
  6. Conditional simulation of spatially variable seismic ground motions based on evolutionary spectra 2012, https://doi.org/10.1002/eqe.2178
  7. Fatigue analysis of long-span suspension bridges under multiple loading: Case study vol.33, pp.12, 2011, https://doi.org/10.1016/j.engstruct.2011.08.027
  8. Probabilistic Fatigue Assessment Based on Bayesian Learning for Wind-Excited Long-Span Bridges Installed with WASHMS vol.9, pp.9, 2013, https://doi.org/10.1155/2013/871368
  9. Recent Research and Applications of Numerical Simulation for Dynamic Response of Long-Span Bridges Subjected to Multiple Loads vol.2014, 2014, https://doi.org/10.1155/2014/763810
  10. Statistical characteristics of sustained wind environment for a long-span bridge based on long-term field measurement data vol.17, pp.1, 2013, https://doi.org/10.12989/was.2013.17.1.043
  11. Fatigue assessment of multi-loading suspension bridges using continuum damage model vol.40, 2012, https://doi.org/10.1016/j.ijfatigue.2012.01.015
  12. Stress Influence Line Identification of Long Suspension Bridges Installed with Structural Health Monitoring Systems vol.16, pp.04, 2016, https://doi.org/10.1142/S021945541640023X
  13. Damage detection of long-span bridges using stress influence lines incorporated control charts vol.57, pp.9, 2014, https://doi.org/10.1007/s11431-014-5623-0
  14. Multiscale Modeling and Model Updating of a Cable-Stayed Bridge. II: Model Updating Using Modal Frequencies and Influence Lines vol.20, pp.10, 2015, https://doi.org/10.1061/(ASCE)BE.1943-5592.0000723
  15. Characteristics of distributed aerodynamic forces on a twin-box bridge deck vol.131, 2014, https://doi.org/10.1016/j.jweia.2014.05.003
  16. Modelling of distributed aerodynamic pressures on bridge decks based on proper orthogonal decomposition vol.172, 2018, https://doi.org/10.1016/j.jweia.2017.10.023
  17. Damage Detection in Long Suspension Bridges Using Stress Influence Lines vol.20, pp.3, 2015, https://doi.org/10.1061/(ASCE)BE.1943-5592.0000681
  18. SHMS-Based Fatigue Reliability Analysis of Multiloading Suspension Bridges vol.138, pp.3, 2012, https://doi.org/10.1061/(ASCE)ST.1943-541X.0000460
  19. Stress-level buffeting analysis of a long-span cable-stayed bridge with a twin-box deck under distributed wind loads vol.127, 2016, https://doi.org/10.1016/j.engstruct.2016.08.050
  20. Fatigue Assessment of Suspension Bridges Carrying Rail and Road Traffic Based on SHMS vol.204-208, pp.1662-7482, 2012, https://doi.org/10.4028/www.scientific.net/AMM.204-208.2019
  21. Dynamic Stress Analysis of Coupled Vehicle-Suspension Bridge System in Cross Wind vol.353-356, pp.1662-7482, 2013, https://doi.org/10.4028/www.scientific.net/AMM.353-356.3328
  22. Making good use of structural health monitoring systems of long-span cable-supported bridges vol.8, pp.3, 2018, https://doi.org/10.1007/s13349-018-0279-2
  23. Bridge influence line identification based on adaptive B‐spline basis dictionary and sparse regularization vol.26, pp.6, 2009, https://doi.org/10.1002/stc.2355
  24. Stress-Level Buffeting Analysis and Wind Turbulence Intensity Effects on Fatigue Damage of Long-Span Bridges vol.33, pp.6, 2009, https://doi.org/10.1061/(asce)as.1943-5525.0001183