Smart Structures and Systems

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Combining GPS and accelerometers' records to capture torsional response of cylindrical tower

  • AlSaleh, Raed J. (Department of Civil and Environmental Engineering - German Jordanian University) ;
  • Fuggini, Clemente (Research and Innovation - RINA)
  • Received : 2019.04.13
  • Accepted : 2019.11.12
  • Published : 2020.01.25
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Abstract

Researchers up to date have introduced several Structural Health Monitoring (SHM) techniques with varying advantages and drawbacks for each. Satellite positioning systems (GPS, GLONASS and GALILEO) based techniques proved to be promising, especially for high natural period structures. Particularly, the GPS has proved sufficient performance and reasonable accuracy in tracking real time dynamic displacements of flexible structures independent of atmospheric conditions, temperature variations and visibility of the monitored object. Tall structures are particularly sensitive to oscillations produced by different sources of dynamic actions; such as typhoons. Wind forces induce in the structure both longitudinal and perpendicular displacements with respect to the wind direction, resulting in torsional effects, which are usually more complex to be detected. To efficiently track the horizontal rotations of the in-plane sections of such flexible structures, two main issues have to be considered: a suitable sensor topology (i.e., location, installation, and combination of sensors), and the methodology used to process the data recorded by sensors. This paper reports the contributions of the measurements recorded from dual frequency GPS receivers and uni-axial accelerometers in a full-scale experimental campaign. The Canton tower in Guangzhou-China is the case study of this research, which is instrumented with a long-term structural health monitoring system deploying both accelerometers and GPS receivers. The elaboration of combining the obtained rather long records provided by these two types of sensors in detecting the torsional behavior of the tower under ambient vibration condition and during strong wind events is discussed in this paper. Results confirmed the reliability of GPS receivers in obtaining the dynamic characteristics of the system, and its ability to capture the torsional response of the tower when used alone or when they are combined with accelerometers integrated data.

Keywords

Acknowledgement

Supported by : University of Pavia

References

  1. AlSaleh, R. (2011), "Verification of wind pressure and wind induced response of a supertall structure using a long-term structural health monitoring system", Ph.D. Dissertation; University of Pavia, Pavia, Italy.
  2. AlSaleh, R., Casciati, F. and Fuggini, C. (2009), "Detecting the torsional behavior of a tall building by GPS receivers", Proceedings of the COMPDYN 2009, ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, Rhodes, Greece, CD-ROM. (article CD438)
  3. Casciati, F. and Fuggini, C. (2009), "Engineering vibration monitoring by GPS: long duration records", Earthq. Eng. Eng. Vib., 8(3), 459-467. https://doi.org/10.1007/s11803-009-9058-8
  4. Casciati, F. and Fuggini, C. (2011), "Monitoring a steel building using GPS sensors", Smart Struct. Syst., Int. J., 7(5), 349-363. https://doi.org/10.12989/sss.2011.7.5.349
  5. Casciati, F., AlSaleh, R. and Fuggini, C. (2009), "GPS-Based SHM of a tall building: torsional effects", Proceedings of the 7th International Workshop on Structural Health Monitoring 2009, Stanford University, Stanford, CA, USA, pp. 340-347.
  6. Elbeltagi, E., Kaloop, M.R. and Elnabwy, M.T. (2014), "Structural health monitoring system using GPS for sustainable bridges", Zaytoonah University International Engineering Conference on Design and Innovation in Sustainability (ZEC Infrastructure), Amman, Jordan.
  7. Faravelli, L., Casciati, S. and Fuggini, C. (2009), "Full-scale experiment using GPS sensors for dynamic tests", Proceedings of the XIX Congress AIMETA, Ancona, Italy, CD-ROM.
  8. Gorski, P. (2017), "Dynamic characteristic of tall industrial chimney estimated from GPS measurement and frequency domain decomposition", Eng. Struct., 148, 277-292. https://doi.org/10.1016/j.engstruct.2017.06.066
  9. Gorski, P. and Konopka, E. (2009), "Monitoring of tall slender structures by GPS measurements", Wind Struct., Int. J., 12(5), 401-412. https://doi.org/10.12989/was.2009.12.5.401
  10. Hwang, J., Yun, H., Park, S., Lee, D. and Hong, S. (2012), "Optimal methods of RTK-GPS/accelerometer integration to monitor the displacement of structures", Sensors, 12, 1014-1034. https://doi.org/10.3390/s120101014
  11. Kaloop, M.R. (2012), "Bridge safety monitoring based-GPS technique: case study Zhujiang Huangpu bridge", Smart Struct. Syst., Int. J., 9(6), 473-487. https://doi.org/10.12989/sss.2012.9.6.473
  12. Kaloop, M.R., Elbeltagi, E., Hu, J.W. and Elrefai, A. (2017), "Recent advances of structures monitoring and evaluation using GPS-time series monitoring systems: A Review", Int. J. Geo-Info., 6, 382-399. https://doi.org/10.3390/ijgi6120382
  13. Kijewsji-Correa, T. and Kochly, M. (2007), "Monitoring the wind-induced response of tall buildings: GPS performance and the issue of multipath effects", J. Wind Eng. Indust. Aerodyn., 95, 1176-1198. https://doi.org/10.1016/j.jweia.2007.02.002
  14. Kijewsji-Correa, T., Kareem, A. and Kochly, M. (2006), "Experimental Verification and Full-Scale Deployment of Global Positioning Systems to Monitor the Dynamic Response of Tall Buildings", J. Struct. Eng., 132(8), 1242-1253. https://doi.org/10.1061/(ASCE)0733-9445(2006)132:8(1242)
  15. Kim, R., Billie J., Spencer, F., Nagayama, J.T. and Mechitov, K. (2016), "Synchronized sensing for wireless monitoring of large structures", Smart Struct. Syst., Int. J., 18(5), 885-909. https://doi.org/10.12989/sss.2016.18.5.885
  16. Kuang, C.L., Kwok, K.C., Hitchcock, P.A. and Ding, X.A. (2011). "Wind-induced response characteristics of a tall building from GPS and accelerometer measurements", Positioning, 2, 1-13. https://doi.org/10.4236/pos.2011.21001
  17. Li, X., Rizos, C., Ge, L., Tamura, Y. and Yoshida, A. (2005), "The Complementary characteristics of GPS and Accelerometer in Monitoring Structural Deformation", Proceedings of the US Institute of Navigation National Technical Meeting, San Diego, CA, USA, pp. 911-920.
  18. Li, Q.S., Xiao, Y.Q., Fu, J.Y. and Li, Z.N. (2007), "Full-scale measurements of wind effects on the Jin Mao building", J. Wind Eng. Indust. Aerodyn., 95, 455-466. https://doi.org/10.1016/j.jweia.2006.09.002
  19. Moschas, F., Psimoulis, P.A. and Stiros, S.C. (2013), "GPS/RTS data fusion to overcome signal deficiencies in certain bridge dynamic monitoring projects", Smart Struct. Syst., Int. J., 12(3), 251-269. https://doi.org/10.12989/sss.2013.12.3_4.251
  20. Ni, Y.Q. and Zhou, H.F. (2010), "Guangzhou New TV Tower: Integrated Structural Health Monitoring and Vibration Control", Structures Congress ASCE, pp. 3155-3164.
  21. Ni, Y.Q., Xia, Y., Liao, W.Y. and Zhang, P. (2008), "Development of a structural health monitoring system for guangzhou new TV tower", Adv. Sci. Technol., 56, 414-419. https://doi.org/10.4028/www.scientific.net/AST.56.414
  22. Ni, Y.Q., Xia, Y., Liao, W.Y. and Ko, J.M. (2009a), "Technology innovation in developing the structural health monitoring system for Guangzhou New TV Tower", Struct. Control Heath Monitor., 16(1), 73-98. https://doi.org/10.1002/stc.303
  23. Ni, Y.Q., Xia, Y., Chen, W.H., Lu, Z.R., Liao, W.Y. and Ko, J.M. (2009b), "Monitoring of wind properties and dynamic responses of a supertall structure during typhoon periods", Proceedings of the 4th International Conference on Structural Health Monitoring on Intelligent Infrastructure (SHMII-4), Zurich, Switzerland.
  24. Pehlivan, H. (2018), "Frequency analysis of GPS data for structural health monitoring observations", Struct. Eng. Mech., Int. J., 66(2), 185-193. https://doi.org/10.12989/sem.2018.66.2.185
  25. Peppa, I., Psimoulis, P. and Meng, X. (2018), "Using the signal-to-noise ratio of GPS records to detect motion of structures", Struct. Control Health Monitor., 25(2), e2080. https://doi.org/10.1002/stc.2080
  26. Psimoulis, P., Houlie, N., Meindl, M. and Rothacher, M. (2015), "Consistency of PPP GPS and strong-motion records: case study of Mw9.0 Tohoku-Oki 2011 earthquake", Smart Struct. Syst., Int. J., 16(2), 347-366. https://doi.org/10.12989/sss.2015.16.2.347
  27. Xia, Y., Ni, Y.Q., Ko, J.M. and Chen, H.B. (2008), "ANCRiSST benchmark problem on structural health Monitoring of high-rise slender structures", Proceedings of the 4th International Workshop on Advanced Smart Materials and Smart Structures Technologies, Tokyo, Japan.
  28. Yi, T.H., Li, H.N. and Gu, M. (2013), "Wavelet based multi-step filtering method for bridge health monitoring using GPS and accelerometer", Smart Struct. Syst., Int. J., 11(4), 331-348. https://doi.org/10.12989/sss.2013.11.4.331
  29. Yi, T.H., Ye, X.W., Li, H.N. and Guo, Q. (2017), "Outlier detection of GPS monitoring data using relational analysis and negative selection algorithm", Smart Struct. Syst., Int. J., 20(2), 219-229. https://doi.org/10.12989/sss.2017.20.2.219

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