Cluster Computing

, Volume 22, Supplement 3, pp 5535–5545 | Cite as

Operational modal analysis of rigid frame bridge with data from navigation satellite system measurements

  • Qinglu MaEmail author
  • Jianting Zhou
  • Saleem Ullah
  • Qi Wang


The Real Time BeiDou Navigation Satellite System (BDS) has evolved into a reliable technique to detect both the three-dimensional magnitudes and frequencies of displacement of structures. BDS technology is exactly what monitoring needs for the bridge deformation. Also, the oscillations and damage severity can be evaluated and classified according to the dynamic bridge characteristics obtained from BDS. The intention of the present work is to demonstrate the use of BDS to provide data for the assessment of existing structures safety. The raw data were collected continuously over a period of 24 h at a minimum rate of 1 Hz. The collected data include traffic flow (for load estimation) and environment factors (such as wind speed, wind direction, relative humidity and temperature). The vibration frequencies are also measured from BDS data and compared with those given in the literature. The results of all the experiments proved to be very encouraging, and showed that the performance of BDS as it has developed in recent years, and that the BDS is reliably in quantifying both environmental induced bridge vibrations and high-frequency transient motion caused by vehicle loading, in particular changes of mass associated with changes in traffic loading are observed, providing the ability for verification and/or improvement of bridge design and modelling.


Bridge detection BeiDou Navigation Satellite System (BDS) Monitoring Structural health monitoring 


  1. 1.
    Yi, T.H., Li, H.N., Gu, M.: Experimental assessment of high-rate GPS receivers for deformation monitoring of bridge. Meas. J. Int. Meas. Confed. 46(1), 420–432 (2013)CrossRefGoogle Scholar
  2. 2.
    Gikas, V.: Ambient vibration monitoring of slender structures by microwave interferometer remote sensing. J. Appl. Geod. 6(3–4), 167–176 (2012)Google Scholar
  3. 3.
    Costa, B.J.A., Figueiras, J.A.: Fiber optic based monitoring system applied to a centenary metallic arch bridge: design and installation. Eng. Struct. 44(6), 271–280 (2012)CrossRefGoogle Scholar
  4. 4.
    He, X.H., Hua, X.G., Chen, Z.Q., et al.: EMD-based random decrement technique for modal parameter identification of an existing railway bridge. Eng. Struct. 33(4), 1348–1356 (2011)CrossRefGoogle Scholar
  5. 5.
    Kumberg, T., Schneid, S., Reindl, L.: A wireless sensor network using GNSS receivers for a short-term assessment of the modal properties of the Neckartal bridge. Appl. Sci. 7(6), 626 (2017)CrossRefGoogle Scholar
  6. 6.
    Boscato, G., Russo, S., Ceravolo, R., et al.: Global sensitivity-based model updating for heritage structures. Comput.-Aided Civil Infrastruct. Eng. 30(8), 620–635 (2015)CrossRefGoogle Scholar
  7. 7.
    García-Palencia, A.J., Santini-Bell, E.: A two-step model updating algorithm for parameter identification of linear elastic damped structures. Comput.-Aided Civil Infrastruct. Eng. 28(7), 509–521 (2013)CrossRefGoogle Scholar
  8. 8.
    Eckl, M.C., Snay, R.A., Soler, T., et al.: Accuracy of GPS-derived relative positions as a function of interstation distance and observing-session duration. J. Geod. 75(12), 633–640 (2001)CrossRefGoogle Scholar
  9. 9.
    Firuzabadì, D., King, R.W.: GPS precision as a function of session duration and reference frame using multi-point software. GPS Solut. 16(2), 191–196 (2012)CrossRefGoogle Scholar
  10. 10.
    Psimoulis, P., Pytharouli, S., Karambalis, D., et al.: Potential of global positioning system (GPS) to measure frequencies of oscillations of engineering structures. J. Sound Vib. 318(3), 606–623 (2008)CrossRefGoogle Scholar
  11. 11.
    Zhang, X.: Study on precise point positioning based on combined GPS and GLONASS. Geomat. Inf. Sci. Wuhan Univ. 35(1), 9–12 (2010)Google Scholar
  12. 12.
    Tolman, B.W., Kerkhoff, A., Rainwater, D., et al.: Absolute precise kinematic positioning with GPS and GLONASS. In: Proceedings of International Technical Meeting of the Satellite Division of the Institute of Navigation (2010)Google Scholar
  13. 13.
    Bos, M.S., Bastos, L., Fernandes, R.M.S.: The influence of seasonal signals on the estimation of the tectonic motion in short continuous GPS time-series. J. Geodyn. 49(3–4), 205–209 (2010)CrossRefGoogle Scholar
  14. 14.
    Geoffrey, B., David, L.: Effect of annual signals on geodetic velocity. J. Geophys. Res. 107, ETG 9-1–ETG 9-11 (2010)Google Scholar
  15. 15.
    Ogundipe, O., Roberts, G.W., Brown, C.J.: GPS monitoring of a steel box girder viaduct. Struct. Infrastruct. Eng. 10(1), 25–40 (2014)CrossRefGoogle Scholar
  16. 16.
    Demir, D.O., Dogan, U.: Determination of crustal deformations based on GPS observing-session duration in Marmara region, Turkey. Adv. Space Res. 53(3), 452–462 (2014)CrossRefGoogle Scholar
  17. 17.
    Kaloop, M.R., Hu, J.W., Elbeltagi, E.: Adjustment and assessment of the measurements of low and high sampling frequencies of GPS real-time monitoring of structural movement. Int. J. Geo-Inf. 5(12), 222 (2016)CrossRefGoogle Scholar
  18. 18.
    Tu, R., Liu, J., Lu, C., et al.: Cooperating the BDS, GPS, GLONASS and strong-motion observations for real-time deformation monitoring. Geophys. J. Int. 209(3), 1408–1417 (2017)CrossRefGoogle Scholar
  19. 19.
    Shi, C., Zhao, Q., Hu, Z., et al.: Precise relative positioning using real tracking data from COMPASS GEO and IGSO satellites. GPS Solut. 17(1), 103–119 (2013)CrossRefGoogle Scholar
  20. 20.
    Yang, Y.X., Li, J.L., Xu, J.Y., et al.: Contribution of the compass satellite navigation system to global PNT users. Chin. Sci. Bull. 56(26), 2813 (2011)CrossRefGoogle Scholar
  21. 21.
    He, H., Li, J., Yang, Y., et al.: Performance assessment of single- and dual-frequency BeiDou/GPS single-epoch kinematic positioning. GPS Solut. 18(3), 393–403 (2014)CrossRefGoogle Scholar
  22. 22.
    Deng, C., Tang, W., Liu, J., et al.: Reliable single-epoch ambiguity resolution for short baselines using combined GPS/BeiDou system. GPS Solut. 18(3), 375–386 (2014)CrossRefGoogle Scholar
  23. 23.
    Teunissen, P.J.G., Odolinski, R., Odijk, D.: Instantaneous BeiDou+GPS RTK positioning with high cut-off elevation angles. J. Geod. 88(4), 335–350 (2014)CrossRefGoogle Scholar
  24. 24.
    Han, H., Wang, J., Meng, X., et al.: Analysis of the dynamic response of a long span bridge using GPS/accelerometer/anemometer under typhoon loading. Eng. Struct. 2016(122), 238–250 (2016)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2017

Authors and Affiliations

  • Qinglu Ma
    • 1
    • 2
    Email author
  • Jianting Zhou
    • 2
  • Saleem Ullah
    • 3
  • Qi Wang
    • 1
  1. 1.School of Traffic and TransportationChongqing Jiaotong UniversityChongqingChina
  2. 2.School of Civil EngineeringChongqing Jiaotong UniversityChongqingChina
  3. 3.khwaja Fareed University of Engineering and Information TechnologyRahim Yar KhanPakistan

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