Literature DB >> 33396398

A Novel Camera-Based Measurement System for Roughness Determination of Concrete Surfaces.

Barış Özcan1, Raimund Schwermann1, Jörg Blankenbach1.   

Abstract

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.

Entities:  

Keywords:  3D reconstruction; concrete surface roughness; digital photogrammetry; non‑destructive testing

Year:  2020        PMID: 33396398     DOI: 10.3390/ma14010158

Source DB:  PubMed          Journal:  Materials (Basel)        ISSN: 1996-1944            Impact factor:   3.623


  3 in total

1.  Quality Assessment of a Novel Camera-Based Measurement System for Roughness Determination of Concrete Surfaces-Accuracy Evaluation and Validation.

Authors:  Barış Özcan; Jörg Blankenbach
Journal:  Sensors (Basel)       Date:  2022-05-31       Impact factor: 3.847

Review 2.  A Review of Vision-Laser-Based Civil Infrastructure Inspection and Monitoring.

Authors:  Huixing Zhou; Chongwen Xu; Xiuying Tang; Shun Wang; Zhongyue Zhang
Journal:  Sensors (Basel)       Date:  2022-08-06       Impact factor: 3.847

3.  Micro Non-Destructive Testing and Evaluation.

Authors:  Giovanni Bruno
Journal:  Materials (Basel)       Date:  2022-08-27       Impact factor: 3.748

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.