The Analysis Methodology of Robotic Total Station Data for Determination of Structural Displacements

Authors

  • Hüseyin Pehlivan Gebze Technical University, Faculty of Engineering, Department of Geomatics Engineering, Kocaeli, Turkey Author

Keywords:

Total station, Displacement, RTS, Deformation, Least Squares Method

Abstract

Monitoring structural deformations and taking measures for building safety are considered almost synonymous with important concepts such as human health, public safety and prevention of economic losses. For this reason, new structural monitoring application techniques are being developed in parallel with the developments in building construction technologies and architecture. In particularly, GNSS satellite-based measurement systems have found wide application areas for determining structural oscillations and deformations. In addition, the direction of the studies in this field has focused on lower cost and more practical measurement systems. One of the alternative measurement devices used for this purpose is angle and distance measurements with the classical total station. Total stations, which have been automated and gained robotic features in recent years, are easily used in the determination of the most critical structural monitoring and deformations with their programmable structure. In this study, angle-distance measurements performed with a robotic total station at a simultaneous and constant sampling interval for 6 hours were processed and analyzed. Coordinate values and position errors were calculated by adjusting according to the least-squares method for each measuring range. Structural displacement values were determined from the coordinate values calculated as a function of time.

References

Allan A L (1988). The Principles of Theodolite Intersection Systems A. L. Allan Survey Review. 226234.

Ashraf A B (2010). Development and Innovationof Technologies for Deformation Monitoring of Engineering Structures Using Highly Accurate Modern Surveying Techniques and Instruments, Ph.D. thesis, Siberian State Academy of geodesy SSGA, Novosibirsk, Russia, 205 p. [Russian language].

Ehigiator-Irughe R (2005). Environmental safety and monitoring of crude oil storage tanks at the Forcados terminal. M.Eng Thesis, Department of çivil

Engineering, university of Benin, Benin City. Nigeria.

Ehigiator-Irughe R, Ehiorobo J O & Ehigiator M O 2010. Distortion of oil and Gas infrastructure from Geomatics support view, Journal of Emerging Trends in Engineering and Applied Sciences (JETEAS) Vol 1 (2010) 14-23 Toronto, Canada.

Lienhart W, Ehrhart M & Grick M (2016). High frequent total station measurements for the monitoring of bridge vibrations, J. Appl. Geodesy 2017; 11(1): 1–8, DOI 10.1515.

Moschas F, Psimoulis P & Stiros S (2012). GPS-RTS data fusion to overcome signal deficiencies in certain bridge dynamic monitoring projects, Smart Structures and Systems, Vol. 12, No. 3-4 (2013) 251269.

Pehlivan H, Aydin Ö, Gülal E & Bilgili E (2013). Determining the behaviour of high-rise structures with geodetic hybrid sensors. Geomatics Nat Hazard Risk. doi:10.1080/19475705.2013.854280

Pehlivan H (2009). The Investigation of Dynamic Behaviors in Structures With Real-Time Kinematic GPS, PhD Thesis, Yildiz Technical University, Istanbul, (in Turkish).

Pehlivan H (2019). Robotik Total Station ve GNSS Ölçümlerinin Analizi. Erzincan University Journal of Science and Technology 2019, 12(2), 1018-1027 ISSN: 1307-9085. DOI: 10.18185/erzifbed.541895

Psimoulis P & Stiros S (2007). Measurement of deflections and of oscillation frequencies of engineering structures using Robotic Theodolites (RTS), Engineering Structures, 29 (12), 3312-3324, 2007.

Psimoulis P & Stiros S (2008). Experimental assessment of the accuracy of GPS and RTS for the determination of the parameters of oscillation of major structures. Computer-Aided Civil Engineering, 23, 389-403. and Infrastructure

Downloads

Published

2021-09-30

How to Cite

The Analysis Methodology of Robotic Total Station Data for Determination of Structural Displacements. (2021). Advanced Geomatics, 1(1), 01-07. https://yakarm.com/journals/ageo/article/view/254

Share