Artificial Intelligence and Data Science
Online ISSN : 2435-9262
Application of 3D models generated from point cloud data for reinforcement inspection and repair inspection
Takashi NAKANOHiroya ETOMasaaki UESAKA
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JOURNAL OPEN ACCESS

2025 Volume 6 Issue 1 Pages 107-115

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Abstract

To improve efficiency by utilizing digital data in the civil engineering and construction fields, we verified the application and effectiveness of 3D models generated from point cloud data to reinforcement inspection and repair inspection, by verifying their accuracy and comparing them with conventional methods. The accuracy of the reinforcement inspection was within a relative error of 0.3ϕ for the rebar spacing and within a relative error of 0.6ϕ for the cover thickness (where ϕ is the rebar diameter). The accuracy of the repair inspection was within 6% of the volume and within 7 mm of the depth and the cover thickness. Compared with the conventional reinforcement inspection, the work time was reduced by about 80%. Compared with conventional repair inspection, the work time was reduced by about 85%.

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© 2025 Japan Society of Civil Engineers
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