Journal article
A multi-scale robotic approach for precise crack measurement in concrete structures
Automation in construction, v 158, 105215
Feb 2024
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This paper introduces a multi-scale robotic approach for measuring the width, length, shape, and profile of hairline cracks in concrete structures. The approach uses a convolutional neural network to identify potential surface cracks, and then robotically navigates a high-resolution laser scanner to measure the detailed shape of the detected cracks. Finally, 3D point cloud registration techniques fuse the laser scans with LiDAR-based scan of the surrounding environment. The proposed method is validated with computer simulations and physical experiments on a concrete specimen. The results are compared against the state-of-the-art, vision-based methods as well as readings of a transparent crack width ruler. The comparison demonstrates the superiority and effectiveness of the proposed multi-scale robotic approach in measuring hairline cracks providing vital data for assessing the conditions of civil infrastructures.
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Details
- Title
- A multi-scale robotic approach for precise crack measurement in concrete structures
- Creators
- Ali Ghadimzadeh Alamdari - Drexel UniversityArvin Ebrahimkhanlou (Corresponding Author) - Drexel University, Civil, Architectural, and Environmental Engineering
- Publication Details
- Automation in construction, v 158, 105215
- Publisher
- ELSEVIER; AMSTERDAM
- Number of pages
- 12
- Grant note
- The authors extend their sincere gratitude to Prof. Ivan Bartoli for providing the concrete specimen used in the experimental work and startup fund from Drexel University.
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering; Mechanical Engineering and Mechanics; Drexel University
- Web of Science ID
- WOS:001132243200001
- Scopus ID
- 2-s2.0-85178642287
- Other Identifier
- 991021861173804721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Construction & Building Technology
- Engineering, Civil
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