Journal
MATERIALS
Volume 14, Issue 1, Pages -Publisher
MDPI
DOI: 10.3390/ma14010158
Keywords
concrete surface roughness; 3D reconstruction; digital photogrammetry; non-destructive testing
Categories
Funding
- Bundesministerium fur Wirtschaft und Energie [16KN062126]
Ask authors/readers for more resources
In this research, a novel camera-based method was developed for measuring the roughness of concrete structures. Through experiments, it was found that the roughness estimates obtained by this system show a strong linear correlation with the reference values obtained by the sand patch method.
Determining the roughness of technical surfaces is an important task in many engineering disciplines. In civil engineering, for instance, the repair and reinforcement of building component parts (such as concrete structures) requires a certain surface roughness in order to ensure the bond between a coating material and base concrete. The sand patch method is so far the state-of-the-art for the roughness measurement of concrete structures. Although the method is easy to perform, it suffers from considerable drawbacks. Consequently, more sophisticated measurement systems are required. In a research project, we developed a novel camera-based alternative, which comes with several advantages. The measurement system consists of a mechanical cross slide that guides an industrial camera over a surface to be measured. Images taken by the camera are used for 3D reconstruction. Finally, the reconstructed point clouds are used to estimate roughness. In this article, we present our measurement system (including the hardware and the self-developed software for 3D reconstruction). We further provide experiments to camera calibration and evaluation of our system on concrete specimens. The resulting roughness estimates for the concrete specimens show a strong linear correlation to reference values obtained by the sand patch method.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available