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Variability of measured modal frequencies of a cable-stayed bridge under different wind conditions

  • Ni, Y.Q. (Department of Civil and Structural Engineering, The Hong Kong Polytechnic University) ;
  • Ko, J.M. (Department of Civil and Structural Engineering, The Hong Kong Polytechnic University) ;
  • Hua, X.G. (Department of Civil and Structural Engineering, The Hong Kong Polytechnic University) ;
  • Zhou, H.F. (Department of Civil and Structural Engineering, The Hong Kong Polytechnic University)
  • Received : 2006.10.25
  • Accepted : 2006.12.26
  • Published : 2007.07.25

Abstract

A good understanding of normal modal variability of civil structures due to varying environmental conditions such as temperature and wind is important for reliable performance of vibration-based damage detection methods. This paper addresses the quantification of wind-induced modal variability of a cable-stayed bridge making use of one-year monitoring data. In order to discriminate the wind-induced modal variability from the temperature-induced modal variability, the one-year monitoring data are divided into two sets: the first set includes the data obtained under weak wind conditions (hourly-average wind speed less than 2 m/s) during all four seasons, and the second set includes the data obtained under both weak and strong (typhoon) wind conditions during the summer only. The measured modal frequencies and temperatures of the bridge obtained from the first set of data are used to formulate temperature-frequency correlation models by means of artificial neural network technique. Before the second set of data is utilized to quantify the wind-induced modal variability, the effect of temperature on the measured modal frequencies is first eliminated by normalizing these modal frequencies to a reference temperature with the use of the temperature-frequency correlation models. Then the wind-induced modal variability is quantitatively evaluated by correlating the normalized modal frequencies for each mode with the wind speed measurement data. It is revealed that in contrast to the dependence of modal frequencies on temperature, there is no explicit correlation between the modal frequencies and wind intensity. For most of the measured modes, the modal frequencies exhibit a slightly increasing trend with the increase of wind speed in statistical sense. The relative variation of the modal frequencies arising from wind effect (with the maximum hourly-average wind speed up to 17.6 m/s) is estimated to range from 1.61% to 7.87% for the measured 8 modes of the bridge, being notably less than the modal variability caused by temperature effect.

Keywords

References

  1. Abdel Wahab, M. and De Roeck, G. (1997), "Effect of temperature on dynamic system parameters of a highway bridge", Struct. Eng. Int., 7, 266-270. https://doi.org/10.2749/101686697780494563
  2. Abe, M., Fujino, Y., Yanagihara, M. and Sato, M. (2000), "Monitoring of Hakucho suspension bridge by ambient vibration measurement", Nondestructive Evaluation of Highways, Utilities, and Pipelines IV, A.E. Aktan and S.R. Gosselin (eds.), SPIE, Bellingham, Washington, USA, 3995, 237-244.
  3. Adeli, H. (2001), "Neural networks in civil engineering: 1989-2000", Computer-Aided Civ. Infrastruct. Eng., 16, 126-142. https://doi.org/10.1111/0885-9507.00219
  4. Alampalli, S. (2000), "Effects of testing, analysis, damage, and environment on modal parameters", Mech. Sys. Signal Proc., 14, 63-74. https://doi.org/10.1006/mssp.1999.1271
  5. Bolton, R., Stubbs, N., Park, S., Choi, S. and Sikorsky, C. (2001), "Documentation of changes in modal properties of a concrete box-girder bridge due to environmental and internal conditions", Computer-Aided Civ. Infrastruct. Eng., 16, 42-57. https://doi.org/10.1111/0885-9507.00212
  6. Chen, J., Xu, Y. L. and Zhang, R. C. (2004), "Modal parameter identification of Tsing Ma suspension bridge under typhoon Victor: EMD-HT method", J. Wind Eng. Ind. Aerodyn., 92, 805-827. https://doi.org/10.1016/j.jweia.2004.04.003
  7. Cornwell, P., Farrar, C. R., Doebling, S. W. and Sohn, H. (1999), "Environmental variability of modal properties", Experimental Techniques, 23, 45-48.
  8. De Roeck, G. and Maeck, J. (2002), "Influence of traffic on modal properties of bridges", Proceedings of the 1st European Workshop on Structural Health Monitoring, D.L. Balageas (ed.), DEStech Publications, Lancaster, Pennsylvania, USA, 989-998.
  9. Doebling, S. W., Farrar, C. R. and Prime, M. B. (1998), "A summary review of vibration-based damage identification methods", Shock Vib. Digest, 30, 91-105. https://doi.org/10.1177/058310249803000201
  10. Farrar, C. R., Doebling, S. W., Cornwell, P. J. and Straser, E. G. (1997), "Variability of modal parameters measured on the Alamosa Canyon Bridge", Proceedings of the 15th International Modal Analytical Conference, Society for Experimental Mechanics, Bethel, Connecticut, USA, 257-263.
  11. Farrar, C. R. and Jauregui, D. A. (1998), "Comparative study of damage identification algorithms applied to a bridge: I. experiment", Smart Mater Struct., 7, 704-719. https://doi.org/10.1088/0964-1726/7/5/013
  12. Hegazy, T., Fazio, P. and Moselhi, O. (1994), "Developing practical neural network applications using backpropagation", Microcomputers in Civil Engineering, 9, 145-159. https://doi.org/10.1111/j.1467-8667.1994.tb00369.x
  13. Kim, C. Y., Jung, D. S., Kim, N. S. and Yoon, J. G. (2001), "Effect of vehicle mass on measured dynamic characteristics of bridge from traffic-induced vibration test", Proceedings of the 19th International Modal Analysis Conference, Society for Experimental Mechanics, Bethel, Connecticut, USA, 1106-1111.
  14. Kim, J. T., Yun, C. B. and Yi, J. H. (2003), "Temperature effects on frequency-based damage detection on plategirder bridges", KSCE J. Civil Eng., 7, 725-733. https://doi.org/10.1007/BF02829141
  15. Kim, J. T., Yun, C. B. and Yi, J. H. (2004), "Temperature effects on modal properties and damage detection in plate-girder bridges", Advanced Smart Materials and Structures Technology, F.-K. Chang, C.B. Yun and B.F. Spencer, Jr. (eds.), DEStech Publications, Lancaster, Pennsylvania, USA, 504-511.
  16. 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
  17. Ko, J. M. and Ni, Y. Q. (2007), "Uncertainty in bridge structural health monitoring: quantification and elimination", submitted to The 3rd International Conference on Structural Health Monitoring of Intelligent Infrastructure, 14-16 November 2007, Vancouver, Canada.
  18. Ko, J. M., Wang, J. Y., Ni, Y. Q. and Chak, K. K. (2003), "Observation on environmental variability of modal properties of a cable-stayed bridge from one-year monitoring data", Struct. Health Monitor., F.-K. Chang (ed.), DEStech, Lancaster, Pennsylvania, USA, 467-474.
  19. Link, M., Weiland, M. and Yu, F. (2002), "Modal analysis of railway bridge hangers using artificial and ambient excitation", Journal De Physique IV, 12, 101-110.
  20. Lloyd, G. M., Wang, M. L. and Singh, V. (2000), "Observed variations of mode frequencies of a prestressed concrete bridge with temperature", Proceedings of the 14th Engineering Mechanics Conference, J.L. Tassoulas (ed.), ASCE, Reston, Virginia, USA (CD-ROM).
  21. Londono, N. A. and Lau, D. T. (2003), "Variability of dynamic properties from Confederation Bridge monitoring data", Struct. Health Monitor. Intell. Infrastruct., Z. S. Wu and M. Abe (eds.), A. A. Balkema, Lisse, The Netherlands, 543-550.
  22. Mahmoud, M., Abe, M. and Fujino, Y., "Analysis of suspension bridge by ambient vibration measurement using time domain method and its application to health monitoring", Proceedings of the 19th International Modal Analytical Conference, Society for Experimental Mechanics, Bethel, Connecticut, USA, 504-510.
  23. Ni, Y. Q., Fan, K. Q., Zheng, G. and Ko, J. M. (2005a), "Automatic modal identification and variability in measured modal vectors of a cable-stayed bridge", Struct. Eng. Mech., 19, 123-139. https://doi.org/10.12989/sem.2005.19.2.123
  24. Ni, Y. Q., Hua, X. G., Fan, K. Q. and Ko, J. M. (2005b), "Correlating modal properties with temperature using long-term monitoring data and support vector machine technique", Eng. Struct., 27, 1762-1773. https://doi.org/10.1016/j.engstruct.2005.02.020
  25. Olson, S. E., DeSimio, M. P. and Derriso, M. M. (2005), "Structural health monitoring incorporating temperature compensation", Struct. Health Monitor. 2005, F.-K. Chang (ed.), DEStech, Lancaster, Pennsylvania, USA, 1635-1642.
  26. Peeters, B., Maeck, J. and De Reock, G. (2001), "Vibration-based damage detection in civil engineering: excitation sources and temperature effects", Smart Mater. Struct., 10, 518-527. https://doi.org/10.1088/0964-1726/10/3/314
  27. Pines, D. J. and Aktan, A. E. (2002), "Status of structural health monitoring of long-span bridges in the United States", Progress in Structural Engineering and Materials, 4, 372-380. https://doi.org/10.1002/pse.129
  28. Rencher, A. C. (2002), Methods of Multivariate Analysis, 2nd edition, John Wiley, New York, USA.
  29. Roberts, G. P. and Pearson, A. J. (1996), "Dynamic monitoring as a tool for long span bridges", Bridge Management 3: Inspection, Maintenance, Assessment and Repair, J. E. Harding, G. E. R. Parke and M. J. Ryall (eds.), E&FN Spon, London, UK, 704-711.
  30. Rohrmann, R. G., Baessler, M., Said, S., Schmid, W. and Ruecker, W. F. (2000), "Structural causes of temperature affected modal data of civil structures obtained by long time monitoring", Proceedings of the 18th International Modal Analytical Conference, Society for Experimental Mechanics, Bethel, Connecticut, USA, 1-7.
  31. Sohn, H., Dzwonczyk, M., Straser, E. G., Kiremidjian, A. S., Law, K. H. and Meng, T. (1999), "An experimental study of temperature effect on modal parameters of the Alamosa Canyon Bridge", Earthq. Eng. Struct. Dyn., 28, 879-897. https://doi.org/10.1002/(SICI)1096-9845(199908)28:8<879::AID-EQE845>3.0.CO;2-V
  32. Sohn, H., Farrar, C. R., Hemez, F. M., Shunk, D. D., Stinemates, D. W., Nadler, B. R. and Czarnecki, J. J. (2004), "A review of structural health monitoring literature: 1996-2001", Research Report No. LA-13976-MS, Los Alamos National Laboratory, Los Alamos, New Mexico, USA.
  33. Xia, Y., Hao, H., Zanardo, G. and Deeks, A. (2006), "Long term vibration monitoring of an RC slab: temperature and humidity effect", Eng. Struct., 28, 441-452. https://doi.org/10.1016/j.engstruct.2005.09.001
  34. Wenzel, H., Veit, R. and Tanaka, H. (2005), "Damage detection after condition compensation in frequency analyses", Structural Health Monitoring 2005, F.-K. Chang (ed.), DEStech, Lancaster, Pennsylvania, USA, 627-633.
  35. Wong, K. Y. (2004), "Instrumentation and health monitoring of cable-supported bridges", Struct. Control Health Monitor., 11, 91-124. https://doi.org/10.1002/stc.33
  36. Worden, K., Sohn, H. and Farrar, C. R. (2002), "Novelty detection in a changing environment: regression and interpolation approaches", J. Sound Vib., 258, 741-761. https://doi.org/10.1006/jsvi.2002.5148
  37. Zhang, Q. W., Fan, L. C. and Yuan, W. C. (2002), "Traffic-induced variability in dynamic properties of cable-stayed bridge", Earthq. Eng. Struct. Dyn., 31, 2015-2021. https://doi.org/10.1002/eqe.204
  38. Zhou, H. F., Ni, Y. Q. and Ko, J. M. (2007), "Eliminating temperature effect in structural damage alarming using auto-associative neural networks", submitted to The 6th International Workshop on Structural Health Monitoring, 11-13 September 2007, Stanford, California, USA.

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