Skip to main content

Development of a High Accuracy and High Sampling Rate Displacement Sensor for Civil Engineering Structures Monitoring

  • Conference paper
  • First Online:
Experimental Vibration Analysis for Civil Structures (EVACES 2017)

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 5))

  • 2795 Accesses

Abstract

Displacement is one of the key physical quantities that are necessary to understand characteristics and behaviours of civil engineering structures. In this study, a new displacement sensor module is developed by integrating GPS-RTK and accelerometer sensors into a single unit so that dynamic and pseudo-static displacements of various civil engineering structures can be measured with high accuracy, precision and sampling rate. Displacement is estimated by fusing GPS-RTK and accelerometer measurements using a two-stage Kalman filter. The two-stage Kalman filter improves accuracy, precision, and sampling rate by recursively integrating the acceleration measured by the accelerometer and correcting the integration error using the displacement intermittently measured from the GPS-RTK sensor. The proposed displacement sensor offers the following advantages over the existing GPS-RTK sensors commonly used for civil engineering structures monitoring: (1) The proposed displacement sensor can achieve a better accuracy (around 2 mm) and a better sampling rate (up to 100 Hz) compared to the conventional GPS-RTK sensors, and (2) The performance is less affected by weather conditions, multipath problems and signal blockage, which typically deteriorate the performance of conventional GPS-RTK sensors. To validate the performance of the proposed displacement sensor, a series of lab scale tests were conducted.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. DiMassa, G., Russo, R., Strano, S., Terzo, M.: System structure identification and adaptive control of a seismic isolation test rig. Mech. Syst. Signal Process. 40, 736–753 (2013)

    Article  Google Scholar 

  2. Kim, J., Kim, K., Sohn, H.: Data-driven physical parameter estimation for lumped mass structures from a single point actuation test. J. Sound Vib. 332, 4390–4402 (2013)

    Article  Google Scholar 

  3. Kim, J., Kim, K., Sohn, H.: In situ measurement of structural mass, stiffness, and damping using are action force actuator and a laser Doppler vibrometer. Smart Mater. Struc. 22, 085004 (2013)

    Article  Google Scholar 

  4. Kim, J., Lynch, J.P.: Subspace system identification of support excited structures-Part II: gray-box interpretations and damage detection. Earthquake Eng. Struct. Dynam. 41, 2253–2271 (2012)

    Article  Google Scholar 

  5. Moreu, F., Jo, H., Li, J., Kim, R.E., Cho, S., Kimmle, A., Scola, S., Le, H., Spencer, B.F., LaFav, J.M.: Dynamic assessment of timber rail road bridges using displacements. J. Bridge Eng. 20, 04014114 (2014)

    Article  Google Scholar 

  6. Merkle, W.J., Myers, J.J.: Use of the total station for loading test of retro fitted bridges with limited access. In: Proceeding of SPIE, Smart Structures and Materials 2004: Sensors and Smart Structures Technologies for Civil, Mechanical and Aerospace Systems, vol. 5391, pp. 687–694 (2004)

    Google Scholar 

  7. Gordon, S.J., Lichti, D.D., Stewart, M.P., Franke, J.: Modeling point clouds for precise structural deformation measurement. In: Proceedings of International Society for Photogrammetry and Remote Sensing Congress, Istanbul, Turkey, pp. 1014–1019, July 2004

    Google Scholar 

  8. Park, H.S., Lee, H.M., Adeli, H., Lee, I.: A new approach for health monitoring of structures: terrestrial laser scanning. Comput. Aided Civil Infrastruct. Eng. 22, 19–30 (2007)

    Article  Google Scholar 

  9. Blais, F.: Review of 20 years of range sensor development. J. Electron. Imaging 13, 231–240 (2004)

    Article  Google Scholar 

  10. Moschas, F., Stiros, S.: High accuracy measurement of deflections of an electricity transmission line tower. Eng. Struct. 80, 418–425 (2014)

    Article  Google Scholar 

  11. Moschas, F., Stiros, S.: Three dimensional dynamic deflections and natural frequencies of a stiff footbridge based on measurements of collocated sensors. Struct. Control Health Monit. 21, 23–42 (2014)

    Article  Google Scholar 

  12. Kamiyama, K., Vlack, K., Mizota, T., Kajimoto, H., Kawakami, N., Tachi, S.: Vision based sensor for real-time measuring of surface traction field. IEEE Comput. Graph. Appl. 25, 68–75 (2005)

    Article  Google Scholar 

  13. Lee, J.J., Shinozuka, M.: A vision based system for remote sensing of bridge displacement. NDTE Int. 39, 425–431 (2006)

    Article  Google Scholar 

  14. Park, J.W., Lee, J.J., Jung, H.J., Myung, H.: Vision-based displacement measurement method for high-rise building structures using partitioning approach. NDTE Int. 43, 642–647 (2010)

    Article  Google Scholar 

  15. Kim, S.W., Kim, N.S.: Multi-point displacement response measurement of civil infrastructures using digital image processing. Procedia Eng. 14, 195–203 (2011)

    Article  Google Scholar 

  16. Nakamura, S.: GPS measurement of Wind-induced suspension bridge girder displacement. ASCE J. Struct. Eng. 126, 1413–1419 (2000)

    Article  Google Scholar 

  17. Breuer, P., Chmielewski, T., Górski, P., Konopka, E.: Application of GPS technology to measurements of displacements of high-rise structures due to weak wind. J. Wind Eng. Ind. Aerodyn. 90(3), 223–230 (2000)

    Article  Google Scholar 

  18. Tamura, Y., Matsui, M., Pagnini, L.C., Ishibashi, R., Yoshida, A.: Measurement of wind-induced response of buildings using RTK-GPS. J. Wind Eng. Ind. Aerodyn. 90, 1783–1793 (2002)

    Article  Google Scholar 

  19. Grewal, M.S., Weill, L.R., Andrews, A.P.: Global Positioning Systems, Inertial Navigation, and Integration. Wiley, Hoboken (2007)

    Book  Google Scholar 

  20. Thong, Y.K., Woolfson, M.S., Crowe, J.A., Hayes-Gill, B.R., Jones, D.A.: Numerical double integration of acceleration measurement in noise. Measurement 36, 73–92 (2004)

    Article  Google Scholar 

  21. Moore, D.M.: Effect of baseline corrections on response spectra for two recordings of the 1999 Chi-Chi, Taiwan, Earthquake. U.S. Geological Survey Open-File Report, pp. 99–545 (1999)

    Google Scholar 

  22. Moore, D.M.: Effect of baseline corrections of displacement and response spectra for several recordings of the 1999 Chi-Chi, Taiwan, Earthquake. Bull. Seismol. Soc. Am. 91(2001), 1199–1211 (1999)

    Google Scholar 

  23. Chan, W.S., Xu, Y.L., Ding, X.L., Dai, W.J.: An integrated GPS-accelerometer data processing technique for structural deformation monitoring. J. Geod. 80, 705–719 (2006)

    Article  Google Scholar 

  24. Moschas, F., Stiros, S.: Measurement of the dynamic displacements and of the modal frequencies of a short-span pedestrian bridge using GPS and an accelerometer. Eng. Struct. 33, 10–17 (2011)

    Article  Google Scholar 

  25. Smyth, A., Wu, M.: Multi-rate Kalman filtering for the data fusion of displacement and acceleration response measurement in dynamic system monitoring. Mech. Syst. Signal Process. 21, 706–723 (2007)

    Article  Google Scholar 

  26. Kim, K., Choi, J., Koo, G., Sohn, H.: Dynamic displacement estimation by fusing biased high-sampling rate acceleration and low-sampling rate displacement measurements using two-stage Kalman estimator. Smart Struct. Syst. 17, 647–667 (2016)

    Article  Google Scholar 

Download references

Acknowledgements

This research was supported by a grant (15CTAP-C097371-01) from Technology Advancement Research Program (TARP) funded by Ministry of Land, Infrastructure and Transport of Korean government.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hoon Sohn .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Sohn, H., Kim, K., Choi, J., Koo, G., Chung, J. (2018). Development of a High Accuracy and High Sampling Rate Displacement Sensor for Civil Engineering Structures Monitoring. In: Conte, J., Astroza, R., Benzoni, G., Feltrin, G., Loh, K., Moaveni, B. (eds) Experimental Vibration Analysis for Civil Structures. EVACES 2017. Lecture Notes in Civil Engineering , vol 5. Springer, Cham. https://doi.org/10.1007/978-3-319-67443-8_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-67443-8_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67442-1

  • Online ISBN: 978-3-319-67443-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics