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A Novel Camera-Based Measurement System for Roughness Determination of Concrete Surfaces
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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795184/ https://www.ncbi.nlm.nih.gov/pubmed/33396398 http://dx.doi.org/10.3390/ma14010158 |
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author | Özcan, Barış Schwermann, Raimund Blankenbach, Jörg |
author_facet | Özcan, Barış Schwermann, Raimund Blankenbach, Jörg |
author_sort | Özcan, Barış |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7795184 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77951842021-01-10 A Novel Camera-Based Measurement System for Roughness Determination of Concrete Surfaces Özcan, Barış Schwermann, Raimund Blankenbach, Jörg Materials (Basel) Article 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. MDPI 2020-12-31 /pmc/articles/PMC7795184/ /pubmed/33396398 http://dx.doi.org/10.3390/ma14010158 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Özcan, Barış Schwermann, Raimund Blankenbach, Jörg A Novel Camera-Based Measurement System for Roughness Determination of Concrete Surfaces |
title | A Novel Camera-Based Measurement System for Roughness Determination of Concrete Surfaces |
title_full | A Novel Camera-Based Measurement System for Roughness Determination of Concrete Surfaces |
title_fullStr | A Novel Camera-Based Measurement System for Roughness Determination of Concrete Surfaces |
title_full_unstemmed | A Novel Camera-Based Measurement System for Roughness Determination of Concrete Surfaces |
title_short | A Novel Camera-Based Measurement System for Roughness Determination of Concrete Surfaces |
title_sort | novel camera-based measurement system for roughness determination of concrete surfaces |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795184/ https://www.ncbi.nlm.nih.gov/pubmed/33396398 http://dx.doi.org/10.3390/ma14010158 |
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