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Tensile Construction Monitoring and Progressive Collapse Test of Suspen-Dome Structure Based on UAV-Assisted Close-Range Photogrammetry and Multi-Camera Stereo-Digital Image Correlation

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Abstract

Background

The widespread use of large-space structures has led to a subsequent increase in the demand for the inspection and monitoring of engineering structures. Digital construction of engineering structures poses a challenge to conventional measurement methods. The development of noncontact measurement methods based on computer vision and photogrammetry technologies has made these measurements possible.

Objective

In this study, cable tension and progressive collapse processes of suspen-dome structure were investigated using unmanned aerial vehicle (UAV)-assisted close-range photogrammetry and multi-camera stereo-digital image correlation (stereo-DIC).

Methods

Based on the principles of close-range photogrammetry, three-dimensional (3D) points reconstructed by a digital single-lens reflex (DSLR) camera and camera mounted on UAV are registered, and the global coordinate system is established. In the cable tension process, a stereo-DIC system enhanced by parallel computing was used to monitor the displacement of the local structure in real time, and the tension process was accurately controlled using real-time monitoring data. The UAV was then used to measure the whole-field static displacement of the upper control points after tension. Finally, the progressive collapse displacement monitoring of the structure is realized by a multi-camera stereo-DIC system comprising 12 high-speed cameras, and the coordinate system of the 12 subsystems is unified to the established global coordinate system.

Results

The results indicate that the displacement sensitivity of a multi-camera stereo-DIC system is higher than 0.05 mm. The measurement results show that the structure meets the design index after tension. The static displacement of the nodes before and after tension can be measured accurately based on the UAV and close-range photogrammetry, which directly reflects the overall deformation trend of the structure after tension. The collapse test results indicate that the structure collapsed quickly after slow deformation for approximately 2.5 s.

Conclusions

The UAV-assisted close-range photogrammetry and multi-camera stereo-DIC system accurately captured the 3D displacement data of both cable tension and progressive collapse processes. The accurate measurement of these data has a great value for engineering applications, model tests, and numerical analysis.

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Data Availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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Funding

This study was supported by the National Natural Science Foundation of China (NSFC) (11827801, 12272093, 11902074).

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Authors and Affiliations

  1. School of Civil Engineering, Southeast University, Nanjing, China

    F. Yuan, X. Ren, R. Pan, Z.Y. Yin, X.X. Shao, G.P. Shu & X.Y. He

  2. School of Civil Engineering, Suzhou University of Science and Technology, Suzhou, 215011, China

    F. Yuan

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Correspondence to X.X. Shao.

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Yuan, F., Ren, X., Pan, R. et al. Tensile Construction Monitoring and Progressive Collapse Test of Suspen-Dome Structure Based on UAV-Assisted Close-Range Photogrammetry and Multi-Camera Stereo-Digital Image Correlation. Exp Mech 63, 1371–1389 (2023). https://doi.org/10.1007/s11340-023-00993-4

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