Smart Structures and Systems

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Operational modal analysis for Canton Tower

  • Received : 2012.02.17
  • Accepted : 2012.04.25
  • Published : 2012.10.25
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Abstract

The 610 m high Canton Tower (formerly named Guangzhou New Television Tower) is currently considered as a benchmark problem for structural health monitoring (SHM) of high-rise slender structures. In the benchmark study task I, a set of 24-hour ambient vibration measurement data has been available for the output-only system identification study. In this paper, the vector autoregressive models (ARV) method is adopted in the operational modal analysis (OMA) for this TV tower. The identified natural frequencies, damping ratios and mode shapes are presented and compared with the available results from some other research groups which used different methods, e.g., the data-driven stochastic subspace identification (SSI-DATA) method, the enhanced frequency domain decomposition (EFDD) algorithm, and an improved modal identification method based on NExT-ERA technique. Furthermore, the environmental effects on the estimated modal parameters are also discussed.

Keywords

References

  1. Chen, W.H., Lu, Z.R., Chen, S.H., Ni, Y.Q. and Liao, W.Y. (2011a), "Monitoring dynamic characteristics for a supertall structure under different loading events", Adv. Mater., 243-249, (5356-5359. https://doi.org/10.4028/www.scientific.net/AMR.243-249.5356
  2. Chen, W.H., Lu, Z.R., Lin, W., Chen, S.H., Ni, Y.Q., Xia, Y. and Liao, W.Y. (2011b), "Theoretical and experimental modal analysis of the Guangzhou New TV Tower", Eng. Struct., 33(12), 3628-3646. https://doi.org/10.1016/j.engstruct.2011.07.028
  3. Faravelli, L., Ubertini, F. and Fuggini, C. (2010a), "Subspace identification of the Guangzhou New TV Tower", Proceedings of the 5th World Conference on Structural Control and Monitoring, Shinjuku, Tokyo, July 12-14.
  4. Faravelli, L., Ubertini, F. and Fuggini, C. (2010b), "System identification toward FEM updating of a super high-rise building", Proceedings of The 5th European Workshop on Structural Health Monitoring, Sorrento, Naples, Italy, June 28-July 4.
  5. Farrar, C.R. and Worden, K. (2007), "An introduction to structural health monitoring", Philos. T.R. Soc. A., 356(1851), 303-315.
  6. Guo, Y.L., Ni, Y.Q. and Kareem, A. (2011), "Performance evaluation of the Guangzhou New TV Tower under winds based on full-scale monitoring data", Proceedings of the 13th International Conference on Wind Engineering (ICWE 13), Amsterdam, Netherlands, July 10-15.
  7. Kraemer, P. and Fritzen, C.P. (2010a), "Aspects of operational modal analysis for structures of offshore wind energy plants", Proceedings of The 28th International Modal Analysis Conference (IMAC XXIX), Jacksonville, Florida, USA, February 1-4.
  8. Kraemer, P. and Fritzen, C.P. (2010b), "Vibration analysis for structures of offshore wind energy plants", Proceedings of the 10th German Wind Energy Conference (DEWEK 2010), Bremen, Germany, November 17-18.
  9. Lin, W., Ni, Y.Q., Xia, Y. and Chen, W.H. (2010), "Field Measurement data and a reduced-order finite element model for Task I of the SHM benchmark problem for high-rise structures", Proceedings of the 5th World Conference on Structural Control and Monitoring, Shinjuku, Tokyo, July 12-14.
  10. Loh, C.H., Liu, Y.C. and Ni, Y.Q. (2011), "SSA-Based stochastic subspace identification of structures from output-only vibration measurements", Proceedings of the 8th International Workshop on Structural Heath Monitoring (IWSHM 2011), Stanford, CA, USA, September 13-15.
  11. Neumaier, A. and Schneider, T. (2001), "Estimation of parameters and eigenmodes of multivariate autoregressive models", ACM T. Math. Software, 27(1), 27-57. https://doi.org/10.1145/382043.382304
  12. 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
  13. 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(1), 73-98. https://doi.org/10.1002/stc.303
  14. Ni, Y.Q., Xia, Y., Lin, W., Chen, W.H. and Ko, J.M. (2012), "SHM benchmark for high-rise structures: a reducedorder finite element model and field measurement data", Smart Struct. Syst., in this issue.
  15. Ni, Y.Q. and Zhou, H.F. (2010), "Guangzhou New TV Tower: integrated structural health monitoring and vibration control", Proceedings of the 2010 Structures Congress, Orlando, Florida, USA, May 12-15.
  16. Niu, Y., Klinkov, M. and Fritzen, C.P. (2011a), "Extension of the generalized unknown input kalman filter for online-reconstruction of external structural loads", Proceedings of the 8th International Workshop on Structural Heath Monitoring (IWSHM 2011), Stanford, CA, USA, September 13-15.
  17. Niu, Y., Kraemer, P. and Fritzen, C.P. (2011b), "Operational modal analysis for a benchmark high-rise structure", Proceedings of the 8th International Workshop on Structural Heath Monitoring (IWSHM 2011), Stanford, CA, USA, September 13-15.
  18. Niu, Y., Kraemer, P. and Fritzen, C.P. (2011c), "Operational modal analysis for the Guangzhou New TV Tower", Proceedings of the 29th International Modal Analysis Conference (IMAC XXIX), Jacksonville, Florida, USA, January 28-31.
  19. Schneider, T. and Neumaier, A. (2001), "Algorithm 808: ARfit ${\mid}$ A Matlab package for the estimation of parameters and eigenmodes of multivariate autoregressive models", ACM T. Math. Software, 27(1), 58-65. https://doi.org/10.1145/382043.382316
  20. Xia, Y., Ni, Y.Q., Ko, J.M., Liao, W.Y. and Chen, W.H. (2009), "ANCRiSST benchmark problem on structural health monitoring of high-rise slender structures - Phase I: field vibration measurement", Proceedings of the 5th International Workshop on Advanced Smart Materials and Smart Structures Technology, Boston, MA, USA, July 29-August 1.
  21. Ye, X., Yan, Q., Wang, W., Yu, X. and Zhu, T. (2011), "Output-only modal identification of Guangzhou New TV Tower subject to different environment effects", Proceedings of the 6th International Workshop on Advanced Smart Materials and Smart Structures Technology, ANCRiSST2011, Dalian, China, July 25-26.
  22. Zhang, L., Brincker, R. and Andersen, P. (2005), "An overview of operational modal analysis: major development and issues", Proceedings of the 1st International Operational Modal Analysis Conference, Copenhagen, Denmark, April 26-27.

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