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This paper applies the 3D ground laser scanning technique to monitor the high-temperature deformation of a long-span steel truss arch bridge, whose main span is 432m in length. Under the daily temperature difference of 9ºC, the three dimensions of the bridge was scanned twice by laser, and the collected data was pre-processed for further analysis. After that, a new deformation measurement method for the non-uniform rational basis spline (NURBS) surface was put forward based on 3D point cloud data, and adopted to measure the overall deformation of the said bridge. The measured results were compared to those captured by the precision level and the total station, indicating that the proposed 3D laser scanning system and data processing method enjoy good accuracy and reliability. Compared with the traditional single-point deformation monitoring methods, our method can record the linear deformation and present the overall deformation features. The proposed method boasts good prospects in engineering application.
deformation monitoring, ground-based 3D, laser scanning, nurbs surfaces, point cloud precision
This paper was supported by the National Nature Science Foundation of China (51778094, 51708068).
Battauz M., Bellio R., Gori E. (2011). Covariate measurement error adjustment for multilevel models with application to educational data. Journal of Educational & Behavioral Statistics, Vol. 36, No. 3, pp. 283-306. http://dx.doi.org/10.3102/1076998610366262
Bergström P. (2015). Evaluation of NURBS surfaces for regular structured parameter values. Journal of Computing & Information Science in Engineering, Vol. 15, No. 1, pp. 13-21. http://dx.doi.org/10.1115/1.4028956
Chen M. G., Chen C. S., Wu C. T. (2010). Monitoring of sag deformation in suspension bridges using a 3D laser scanner. Circulation Research, Vol. 115, No. 5, pp. 475-479.
Cristea C., Jocea A. F. (2015). Applications of terrestrial laser scanning and GIS in forest inventory. Journal of Applied Engineering Sciences, Vol. 5, No. 2, pp. 13-20. http://dx.doi.org/10.1515/jaes-2015-0016
Du J. C., Teng H. C. (2007). 3D laser scanning and GPS technology for landslide earthwork volume estimation. Automation in Construction, Vol. 16, No. 5, pp. 657-663. http://dx.doi.org/10.1016/j.autcon.2006.11.002
Gonzálezferreiro E., Diéguezaranda U., Barreirofernández L. (2013). A mixed pixel- and region-based approach for using airborne laser scanning data for individual tree crown delineation in D. Don plantations. International Journal of Remote Sensing, Vol. 34, No. 21, pp. 7671-7690. http://dx.doi.org/10.1080/01431161.2013.823523
Leonidopoulos G. (2016). Modelling and simulation of electric power transmission line current as wave. Modelling, Measurement and Control A, Vol. 89, No. 1, pp. 1-12.
Nurunnabi A., Belton D., West G. (2016). Robust segmentation for large volumes of laser scanning three-dimensional point cloud data. IEEE Transactions on Geoscience & Remote Sensing, Vol. 54, No. 8, pp. 4790-4805. http://dx.doi.org/10.1109/TGRS.2016.2551546
Riveiro B., Morer P., Arias P. (2011). Terrestrial laser scanning and limit analysis of masonry arch bridges. Construction & Building Materials, Vol. 25, No. 4, pp. 1726-1735. http://dx.doi.org/10.1016/j.conbuildmat.2010.11.094
Soni A., Robson S., Gleeson B. (2015). Structural monitoring for the rail industry using conventional survey, laser scanning and photogrammetry. Applied Geomatics, Vol. 7, No. 2, pp. 1-16. http://dx.doi.org/10.1007/s12518-015-0156-1
Wyvill G., Cao E., Trotman A. (1992). The Cao En surface: A new approach to freeform geometric models. Programming & Computer Software, Vol. 18, No. 4, pp. 31-40.
Zawieska D., Markiewicz J. (2015). Utilisation of laser scanning technology and digital images for measurements of industrial objects - A case study. Reports on Geodesy & Geoinformatics, Vol. 98, No. 1, pp. 28-38. http://dx.doi.org/10.2478/rgg-2015-0003
Zeng K., Jiang Y. (2015). Application of 3D laser scanning technology in surface subsidence monitoring. Surveying and Mapping of Geology and Mineral Resources, Vol. 13, No. 2, pp. 13-18. http://dx.doi.org/10.3969/j.issn.1007-9394.2015.02.008
Zhang F., Sun, K. (2016). Tensorial biometric signal recognition based on multilinear PCA plus GTDA. Advances in Modelling and Analysis B, Vol. 59, No. 1, pp. 91-112. http://dx.doi.org/10.1007/978-3-662-49014-3_54
Zhou H., Zhu D., Qu H. (2011). The application of 3D laser scanning technology and GIS in ancient architecture protection. Geotechnical Investigation & Surveying, Vol. 39, No. 6, 73-77.