EVALUATION OF 3D MODEL OF REBAR FOR QUANTITATIVE PARAMETERS

Abdul Hannan Qureshi; W. S. Alaloul; A. Murtiyoso; S. J. Hussain; Syed Saad; Vipin Kumar Oad

doi:10.5194/isprs-archives-xlviii-2-w1-2022-215-2022

EVALUATION OF 3D MODEL OF REBAR FOR QUANTITATIVE PARAMETERS

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%.

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DOI:: Digital Object Identifier (open in new tab) 10.5194/isprs-archives-xlviii-2-w1-2022-215-2022
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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,

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