Structural Monitoring and Maintenance

Techno-Press (테크노프레스)
권호 표지
DOI QR코드

DOI QR Code

Inclinometer-based method to monitor displacement of high-rise buildings

  • Xiong, Hai-Bei (Research Institute of Structural Engineering and Disaster Reduction, Tongji University) ;
  • Cao, Ji-Xing (Research Institute of Structural Engineering and Disaster Reduction, Tongji University) ;
  • Zhang, Feng-Liang (Research Institute of Structural Engineering and Disaster Reduction, Tongji University)
  • Received : 2017.11.22
  • Accepted : 2018.02.08
  • Published : 2018.03.25
⟨ Previous Next ⟩

Abstract

Horizontal displacement of high-rise building is an essential index for assessing the structural performance and safety. In this paper, a novel inclinometer-based method is proposed to address this issue and an algorithm based on three spline interpolation principle is presented to estimate the horizontal displacement of high-rise buildings. In this method, the whole structure is divided into different elements by different measured points. The story drift angle curve of each element is modeled as a three spline curve. The horizontal displacement can be estimated after integration of the story drift angle curve. A numerical example is designed to verify the proposed method and the result shows this method can effectively estimate the horizontal displacement with high accuracy. After that, this method is applied to a practical slender structure - Shanghai Tower. Nature frequencies identification and deformation monitoring are conducted from the signal of inclinometers. It is concluded that inclinometer-based technology can not only be used for spectrum analysis and modal identification, but also for monitoring deformation of the whole structure. This inclinometer-based technology provides a novel method for future structural health monitoring.

Keywords

Acknowledgement

Supported by : National Natural Science Foundation of China, Japan Society for the Promotion of Science (JSPS)

References

  1. Abdelrazaq, A., Amp, H. and Camp, S. (2012), "Validating the structural behavior and response of Burj Khalifa: Full scale structural health monitoring programs", Build. Struct., 44(5), 87-97.
  2. Breuer, P., Chmielewski, T., Gorski, P. and Konopka, E. (2002), "Application of GPS technology to measurements of displacements of high-rise structures due to weak winds", J Wind Eng Ind Aerod., 90(3), 223-230. https://doi.org/10.1016/S0167-6105(01)00221-5
  3. Calcaterra, S., Cesi, C., Maio, C.D., et al. (2012), "Surface displacements of two landslides evaluated by GPS and inclinometer systems: a case study in Southern Apennines, Italy", Nat. Hazards, 61(1), 257-266. https://doi.org/10.1007/s11069-010-9633-3
  4. Chowdhury, F.H., Islam, G.M.S. and Raihan, M.T. (2015), "Application of different structural health monitoring system on bridges an overview", IABSE-JSCE Joint Conference on Advances in Bridge Engineering-III.
  5. ETABS software, Computers &Structures, INC, https://www.csiamerica.com/products/etabs
  6. Feng, D., Feng, M.Q. and Ozer, E. (2015), "A vision-based sensor for noncontact structural displacement measurement", Sensors, 15(7), 16557-16575. https://doi.org/10.3390/s150716557
  7. Guo, Z.L. (2011), "Application of structural health monitoring technology based on model shaking table test of a super high-rise building", Master Dissertation (Chinese), Tongji University, Shanghai.
  8. Hong, Y.H, Park, H.W. and Lee, H.S. (2008), "A regularization scheme for displacement reconstruction using acceleration data measured from structures", Proceedings of the 15th International Symposium on: Smart Structures and Materials & Nondestructive Evaluation and Health Monitoring, International Society for Optics and Photonics, 693228-693228-11
  9. Lam, H.F., Yang, J. and Au, S.K. (2015a), "Bayesian model updating of a coupled-slab system using field test data utilizing an enhanced Markov chain Monte Carlo simulation algorithm", Eng. Struct., 102, 144-155. https://doi.org/10.1016/j.engstruct.2015.08.005
  10. Lam H.F., Yang, J.H. and Hu, J. (2015b), "Ambient vibration test, modal identification and structural model updating following Bayesian framework", Int. J. Struct.Stab. Dynam, 15(7), 1540024. https://doi.org/10.1142/S0219455415400246
  11. Li, B. and Kiureghian, A.D. (2016), "Robust optimal sensor placement for operational modal analysis based on maximum expected utility", Mech. Syst. Signal Pr., 75, 155-175. https://doi.org/10.1016/j.ymssp.2016.01.005
  12. Li, Z.J., Park, H.S. and Adeli, H. (2017), "New method for modal identification of super high-rise building structures using discretized synchrosqueezed wavelet and Hilbert transforms", Struct Des Tall Spec., 26, (3).
  13. Moschas, F. and Stiros, S. (2011), "Measurement of the dynamic displacements and of the modal frequencies of a short-span pedestrian bridge using GPS and an accelerometer", Eng. Struct., 33(1), 10-17. https://doi.org/10.1016/j.engstruct.2010.09.013
  14. 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, 16(1), 73-98. https://doi.org/10.1002/stc.303
  15. Ni, Y.C., Lu, X.L. and Lu, W.S. (2017), "Operational modal analysis of a high-rise multi-function building with dampers by a Bayesian approach", Mech. Syst. Signal Pr., 86, 286-307. https://doi.org/10.1016/j.ymssp.2016.10.009
  16. Ni Y.C. and Zhang F.L. (2018), "Fast Bayesian approach for modal identification using forced vibration data considering the ambient effect", Mech. Syst. Signal Pr., 105,113-128. https://doi.org/10.1016/j.ymssp.2017.11.007
  17. Park, J.W., Lee, J.J., Jung, H.J. and Myung, H. (2010), "Vision-based displacement measurement method for high-rise building structures using partitioning approach", Ndt&E Int., 43(7), 642-647. https://doi.org/10.1016/j.ndteint.2010.06.009
  18. Pastor, M., Binda, M. and HarCarik, T. (2012), "Modal assurance criterion", Procedia Eng., 48(1), 543-548. https://doi.org/10.1016/j.proeng.2012.09.551
  19. Pei, H., Cui, P., Yin, J., et al. (2011), "Monitoring and warning of landslides and debris flows using an optical fiber sensor technology", J. Mountain Sci., 8(5), 728-738. https://doi.org/10.1007/s11629-011-2038-2
  20. Pei, H.F., Yin, J.H., Zhu, H.H., et al. (2012), "Monitoring of lateral displacements of a slope using a series of special fibre Bragg grating-based in-place inclinometers", Meas. Sci.Technol., 23(2), 025007. https://doi.org/10.1088/0957-0233/23/2/025007
  21. Quan, Y., Gu, M. and Tamura, Y. (2005), "Experimental evaluation of aerodynamic damping of square super high-rise buildings", Wind Struct., 8(5), 309-324. https://doi.org/10.12989/was.2005.8.5.309
  22. Simeoni, L. and Mongiovì, L. (2007), "Inclinometer monitoring of the Castelrotto Landslide in Italy", J. Geotech. Geoenviron. Eng., 133(6), 653-666. https://doi.org/10.1061/(ASCE)1090-0241(2007)133:6(653)
  23. Su, J.Z., Xia, Y., Zhu, L.D. and Zhu, H.P. and Ni, Y.Q.(2017), "Typhoon and temperature-induced quasi-static responses of a supertall structure", Eng. Struct., 143, 91-100. https://doi.org/10.1016/j.engstruct.2017.04.007
  24. Su, J.Z., Xia, Y. and Chen, L. (2013), "Long-term structural performance monitoring system for the Shanghai Tower", J. Civil. Struct. Health Monit., 3(1), 49-61. https://doi.org/10.1007/s13349-012-0034-z
  25. Wahbeh, A.M., Caffrey, J.P. and Masri, S.F. (2003), "A vision-based approach for the direct measurement of displacements in vibrating systems", Smart Mater Struct., 12(5), 785-794. https://doi.org/10.1088/0964-1726/12/5/016
  26. Guo, Z.L. (2011), "Application of structural health monitoring technology based on model shaking table test of a super high-rise building", Master Dissertation (Chinese), Tongji University, Shanghai.
  27. Xiong, H.B., Cao, J.X. and Zhang, F.L. (2016), "Displacement monitoring method for frame tube structure with strengthened stories", J. Zhejiang University (Engineering Science) (Chinese), 59(9), 1752-1760.
  28. Xie, Z.N. and Gu, M. (2009), "Across-wind dynamic response of high-rise building under wind action with interference effects from one and two tall buildings", Struct. Des. Tall Spec., 18(1), 37-57. https://doi.org/10.1002/tal.393
  29. 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, 20(5), 649-670. https://doi.org/10.1002/stc.1501
  30. Zhang, F.L., Ni, Y.Q., Ni, Y.C. and Wang, Y.W. (2016a), "Operational modal analysis of Canton Tower by a fast frequency domain Bayesian method", Smart Struct. Syst., 17(2), 209-230. https://doi.org/10.12989/sss.2016.17.2.209
  31. Zhang, F.L., Ni, Y.C., Au, S.K. and Lam, H.F. (2016b), "Fast Bayesian approach for modal identification using free vibration data, Part I-Most probable value", Mech. Syst. Signal Pr., 70-71, 209-220. https://doi.org/10.1016/j.ymssp.2015.05.031
  32. Zhang, F.L., Ni, Y.C. and Lam, H.F. (2017a), "Bayesian structural model updating using ambient vibration data collected by multiple setups", Struct. Control Health Monit., 24(12), e2023 https://doi.org/10.1002/stc.2023
  33. Zhang, F.L., Ventura, C.E., Xiong, H.B., et al. (2018), "Evaluation of the dynamic characteristics of a super tall building using data from ambient vibration and shake table tests by a Bayesian approach", Struct. Control Health Monit., 25(4), e2121. https://doi.org/10.1002/stc.2121
  34. Zhang, F.L., Xiong, H.B., Shi, W.X. and Ou, X. (2016c), "Structural health monitoring of Shanghai Tower during different stages using a Bayesian approach", Struct. Control Health Monit., 23(11), 1366-1384. https://doi.org/10.1002/stc.1840
  35. Zhang, J., Maes, K., Roeck, G.D., et al. (2017b), "Optimal sensor placement for multi-setup modal analysis of structures", J. Sound Vib., 401, 214-232. https://doi.org/10.1016/j.jsv.2017.04.041

Cited by

  1. Inclinometer-Based Long-Term Monitoring of the Headframe of Salt Mine Shaft vol.1945, pp.1, 2018, https://doi.org/10.1088/1742-6596/1945/1/012009