DOI QR코드

DOI QR Code

Usability of inclinometers as a complementary measurement tool in structural monitoring

  • 투고 : 2015.04.18
  • 심사 : 2016.04.01
  • 발행 : 2016.06.25

초록

In the last few years, many structural monitoring studies have been performed using different techniques to measure structures of different scales such as buildings, dams or bridges. One of the mostly used tools are GPS instruments, which have been utilized in various combinations with accelerometers and some other conventional sensors. In the current study, observation series were recorded for 8 hours with GPS receivers (NovAtel) and Inclination Measurement Sensors mounted on a television tower in Istanbul, Turkey. Each series of observations collected from two different sensors were transformed into a single coordinate system (Local Topocentric Coordinates System). The positional changes of the tower were calculated from the GPS and the inclination data. These changes were plotted in two dimensions (2D) on the same graphic. Thus, the possibility of comparison and analysis were found using the data from both the GPS and the Inclinometer complement each other, in the real test area. The positional changes of the tower were modeled for further examination. As a result, the movement of the tower within an area of $1{\times}1cm^2$ was observed. Based on the results, it can be concluded that inclinometers can be used for monitoring the structural behavior of the tower.

키워드

참고문헌

  1. 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. Aerodyn., 90, 223-230. https://doi.org/10.1016/S0167-6105(01)00221-5
  2. Breuer, P., Chmielewski, T., Gorski, P., Konopka, E. and Tarczynski, L. (2008), "The stuttgart TV tower displacement of the top caused by the effects of sum and wind", Eng. Struct., 30(10), 2771-81. https://doi.org/10.1016/j.engstruct.2008.03.008
  3. Casciati, F. and Fuggini, C. (2009), "Engineering vibration monitoring by GPS: long duration records", Earthq. Eng. Eng. Vib., 8(3), 459-67. https://doi.org/10.1007/s11803-009-9058-8
  4. Cazzaniga, N.E., Pinto, L., Forlani, G. and Abruzzi, P. (2005), "Monitoring oscillations of slender structures with GPS and accelerometers", New Measurement Technology and Its Application to Archaeological and Engineering Surveys, FIG Working Week 2005 and GSDI-8, Cairo, Egypt, April.
  5. Chan, W.S., Xu, Y.L., Ding, X.L. and Dai, W.J. (2006), "An integrated GPS-accelerometer data processing technique for structural deformation monitoring", J. Geodesy, 80, 705-719. https://doi.org/10.1007/s00190-006-0092-2
  6. Erol, B. (2010), "Evaluation of high-precision sensors in structural monitoring", Sensors, 10, 10803-10827 https://doi.org/10.3390/s101210803
  7. Figurski, M., Galuszkiewicz, M. and Wrona, M. (2009), "An investigation of using high rate GNSS data in structural monitoring process", ANNO LXVIII - Bollettino Di Geodesia e Scienze Affini N. 1.
  8. Hristopulos, D.T., Mertikas, S.P., Arhontakis, I. and Brownjohn, J.M.W. (2006), "Using GPS for monitoring tall-building response to wind loading: filtering of abrupt changes and low-frequency noise, variography and spectral analysis of displacements", GPS Solutions, Springer.
  9. Kijewsji-Correa, T.L. and Kareem, A. (2003), "The Chicago monitoring project: a fusion of information technologies and advanced sensing for civil infrastructures", Proceedings of 1th International Conference on Structural Health Monitoring and Intelligent Infrastructure, Tokyo, November.
  10. Lekidis, V., Tsakiria, M., Makrab, K., Karakostasb, C., Klimisb, N. and Sous, I. (2005), "Evaluation of dynamic response and local soil effects of the Evripos Cablestayed Bridge using multi-sensor monitoring systems", Eng. Geology, 79, 43-59. https://doi.org/10.1016/j.enggeo.2004.10.015
  11. Li, X., Ge, L., Ambikairajah, E., Rizos, C., Tamura, Y. and Yoshida, A. (2006), "Full-scale structural monitoring using an integrated GPS and accelerometer system", GPS Solutions, 10, 233-247. https://doi.org/10.1007/s10291-006-0023-y
  12. Pehlivan, H. (2009), "The investigation of dynamic behaviors in structures with real-time Kinematic GPS", PhD Thesis, Yildiz Technical University, Istanbul, Turkiye.
  13. Pehlivan, H. (2013), "Spectral analysis of real-time Kinematic GPS data, harita dergisi, 2013/149", Harita Genel Komutanligi, Ankara, Turkiye.
  14. Pehlivan, H. and Bayata, H.F. (2014), "Comparison of GPS and inclinometer data in structural monitoring", Proceedings of the First International Conference on Engineering and Applied Sciences Optimization (OPT-i), the Island of Kos, Greece, June.
  15. Pehlivan, H., Aydin, O ., Gulal, E. and Bilgili, E. (2013), "Determining the behavior of high-rise structures with geodetic hybrid sensors", Geomatic Nat. Hazard. Risk., 6(8), 702-717. https://doi.org/10.1080/19475705.2013.854280
  16. Xu, L., Guo, J. and Jiang, J.J. (2002), "Time frequency analysis of a suspension bridge based on GPS", J. Sound Vib., 254(1), 105-116. https://doi.org/10.1006/jsvi.2001.4087
  17. Yi, T., Li, H. and Gu, M. (2010), "Recent research and applications of GPS based technology for bridge health monitoring", Sci. China: Tech. Sci., 53(10), 2597-2610. https://doi.org/10.1007/s11431-010-4076-3
  18. Yi, T.H., Li, H. and Gu, M. (2013), "Wavelet based multi-step filtering method for bridge health monitoring using GPS and accelerometer", Smart Struct. Syst., 11(4), 331-348. https://doi.org/10.12989/sss.2013.11.4.331
  19. Yi, T.H., Li, H.N. and Gu, M. (2011), "Characterization and extraction of global positioning system multipath signals using improved particle filtering algorithm", Measur. Sci. Tech., 22(7), 075101.. https://doi.org/10.1088/0957-0233/22/7/075101
  20. Yi, T.H., Li, H.N. and Gu, M. (2012), "Effect of different construction materials on propagation of GPS monitoring signals", Measurement, 45(5), 1126-1139. https://doi.org/10.1016/j.measurement.2012.01.027
  21. Yi, T.H., Li, H.N. and Gu, M. (2012), "Recent research and applications of GPS-based monitoring technology for high-rise structures", Struct. Control Hlth. Monit., 20(5), 649-670.
  22. Yi, T.H., Li, H.N. and Gu, M. (2013), "Experimental assessment of high-rate GPS receivers for deformation monitoring of bridge", Measurement, 46(1), 420-432. https://doi.org/10.1016/j.measurement.2012.07.018
  23. Yoshida, A., Tamura, Y., Matsui, M. and Ishibashi, S. (2003), "Integrity monitoring of buildings by hybrid use of RTK-GPS and FEM analysis", Proceedings of the 1st International Conference on Structural Health Monitoring and Intelligent Infrastructure, November, Tokyo

피인용 문헌

  1. Research on Damage Identification of Bridge Based on Digital Image Measurement vol.274, 2017, https://doi.org/10.1088/1757-899X/274/1/012045
  2. Integration of High-Resolution Laser Displacement Sensors and 3D Printing for Structural Health Monitoring vol.18, pp.1, 2017, https://doi.org/10.3390/s18010019
  3. Reliable monitoring of embankment dams with optimal selection of geotechnical instruments vol.4, pp.1, 2016, https://doi.org/10.12989/smm.2017.4.1.085
  4. A structural health monitoring system based on multifractal detrended cross-correlation analysis vol.63, pp.6, 2017, https://doi.org/10.12989/sem.2017.63.6.751
  5. Frequency analysis of GPS data for structural health monitoring observations vol.66, pp.2, 2016, https://doi.org/10.12989/sem.2018.66.2.185
  6. Integrated fuzzy decision approach for reliability improvement of dam instrumentation and monitoring vol.3, pp.2, 2016, https://doi.org/10.1080/24705314.2018.1461546
  7. Investigating the effects of ultra-rapid, rapid vs. final precise orbit and clock products on high-rate GNSS-PPP for capturing dynamic displacements vol.73, pp.4, 2016, https://doi.org/10.12989/sem.2020.73.4.427
  8. Experimental Study on Continuous Bridge-Deflection Estimation through Inclination and Strain vol.25, pp.5, 2016, https://doi.org/10.1061/(asce)be.1943-5592.0001543