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Application of close range photogrammetry in structural health monitoring by processing generated point cloud datasets

 Application of close range photogrammetry in structural health monitoring by processing generated point cloud datasets
Author(s): , ORCID, ,
Presented at IABSE Congress: Structural Engineering for Future Societal Needs, Ghent, Belgium, 22-24 September 2021, published in , pp. 450-458
DOI: 10.2749/ghent.2021.0450
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In bridge inspection, vertical displacement is a relevant parameter for both short and long-term health monitoring. Assessing change in deflections could also simplify the assessment work for inspe...
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Bibliographic Details

Author(s): (Luleå University of Technology, Luleå, Sweden)
ORCID (Luleå University of Technology, Luleå, Sweden; bSINTEF Narvik AS, Narvik, 8517, Norway)
(Luleå University of Technology, Luleå, Sweden)
(Luleå University of Technology, Luleå, Sweden)
Medium: conference paper
Language(s): English
Conference: IABSE Congress: Structural Engineering for Future Societal Needs, Ghent, Belgium, 22-24 September 2021
Published in:
Page(s): 450-458 Total no. of pages: 9
Page(s): 450-458
Total no. of pages: 9
DOI: 10.2749/ghent.2021.0450
Abstract:

In bridge inspection, vertical displacement is a relevant parameter for both short and long-term health monitoring. Assessing change in deflections could also simplify the assessment work for inspectors. Recent developments in digital camera technology and photogrammetry software enables point cloud with colour information (RGB values) to be generated. Thus, close range photogrammetry offers the potential of monitoring big and small-scale damages by point clouds. The current paper aims to monitor geometrical deviations in Pahtajokk Bridge, Northern Sweden, using an optical data acquisition technique. The bridge in this study is scanned two times by almost one year a part. After point cloud generation the datasets were compared to detect geometrical deviations. First scanning was carried out by both close range photogrammetry (CRP) and terrestrial laser scanning (TLS), while second scanning was performed by CRP only. Analyzing the results has shown the potential of CRP in bridge inspection.

Keywords:
bridge Inspection photogrammetry 3D point-cloud generation geometrical deviation
Copyright: © 2021 International Association for Bridge and Structural Engineering (IABSE)
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