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Proceedings Paper

Development of a robust high-speed videogrammetric technique for the measurement of large-scale shaking table tests
Author(s): Sa Gao; Peng Chen; Xiaohua Tong; Benkang Wang
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Paper Abstract

High-speed videogrammetry has gradually become the important measurement technique in civil engineering material testing and structure monitoring. This paper presents a robust videogrammetric approach to monitor and analyse the spatial deformations of structures in large-scale shaking table tests, which consists of three main parts as follows. (1) A videogrammetry system with multiple high-speed cameras is established to measure three-dimensional (3D) morphological changes of large structures. (2) An accurate target recognition algorithm is introduced into the measurement scheme, and then the target tracking and matching strategy is proposed in our scheme to calculate the sequential image coordinates of the target points in the high-speed image sequences. (3) The 3D coordinates of the target points can be obtained by the videogrammetric analysis algorithms, and the key structural deformation parameters can be further calculated through the spatiotemporal analysis of the sequential point coordinates. The shaking table test of largescale wooden pagoda as an empirical test is performed to demonstrate the feasibility and reliability of the whole highspeed videogrammetric technique. The experimental results show that the proposed approach can achieve sub-millimeter positioning accuracy of the artificial targets with comparison of high-accuracy total station. Moreover, the credibility of the measured displacement results is further verified by comparison with the results of the high-accuracy displacement sensor.

Paper Details

Date Published: 28 January 2019
PDF: 7 pages
Proc. SPIE 11051, 32nd International Congress on High-Speed Imaging and Photonics, 1105104 (28 January 2019); doi: 10.1117/12.2523314
Show Author Affiliations
Sa Gao, Tongji Univ. (China)
Peng Chen, Tongji Univ. (China)
Xiaohua Tong, Tongji Univ. (China)
Benkang Wang, Tongji Univ. (China)


Published in SPIE Proceedings Vol. 11051:
32nd International Congress on High-Speed Imaging and Photonics
Michel Versluis; Eleanor Stride, Editor(s)

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