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Abstract
The construction industry practices and processes are evolving constantly, and with the emergence of Industry 4.0, the use of technologies is expanding. Construction progress monitoring is an essential project lifecycle process; project success and timely completion are linked with effective progress monitoring operations and adopted tools. In the domain of automated construction progress monitoring, 3D modeling techniques have been studied a lot, with laser scanning and photogrammetry as two main methods. Although laser scanning provides precise and detailed 3D models, it is an expensive technology. Moreover, the literature reveals that for digitized construction progress monitoring, the major focus has been given to primary reinforced concrete (RC) structures compared to rebar. In contrast, rebar is a key element in RC structures, as structural integrity is dependent on steel reinforcement design, which makes rebar monitoring an essential activity. This study aimed to devise an automated monitoring digital-based methodology for effective and efficient onsite rebar monitoring considering quantitative parameters e.g., rebar length and rebar spacing. The developed module successfully interpreted photogrammetry-based 3D point cloud rebar model for the aforementioned parameters with an overall achieved accuracy ≥ 98%.
Citations
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2
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0
Web of Science
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4
Scopus
Authors (6)
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Abdul Hannan Qureshi
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W. S. Alaloul
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A. Murtiyoso
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S. J. Hussain
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Syed Saad
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.5194/isprs-archives-xlviii-2-w1-2022-215-2022
- License
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Keywords
Details
- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language:
- English
- Publication year:
- 2022
- Bibliographic description:
- Qureshi A. H., Alaloul W. S., Murtiyoso A., Hussain S. J., Saad S., Oad V. K.: EVALUATION OF 3D MODEL OF REBAR FOR QUANTITATIVE PARAMETERS// / : , 2022,
- DOI:
- Digital Object Identifier (open in new tab) 10.5194/isprs-archives-xlviii-2-w1-2022-215-2022
- Sources of funding:
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- COST_FREE
- Verified by:
- Gdańsk University of Technology
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