清水混凝土外观质量信息采集与分析方法及其工程应用

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Abstract In order to solve the problem of inefficiency and error caused by manual measurement and empirical evaluation in the quality inspection of fair-faced concrete projects, this paper presents a quantitative analysis method for the appearance quality of fair-faced concrete. The method was based on the UAV and the orbital large format scanner to collect the appearance image of concrete efficiently. The enhanced pore edge morphological parameters were extracted accurately by HiGauss, Sobel and Erode filters to accurately identify and to calculate APAR (appearance pore area ratio). SDCA (standard deviation of chromatic aberration)and SDR (standard deviation from RAL)were proposed to characterize the chromatic aberration of fair-faced concrete. The robustness of the method was verified based on light intensity and surface moisture content, and has been successfully applied to the preliminary quality acceptance of fair-faced concrete in Xiong'an Station of Beijing-Xiong'an Intercity Railway and Chaoyang Station of Beijing-Shenyang high-speed Railway. With the variation of light intensity, the average floating deviation of APAR of the same component was 4.82%, and the maximum deviation from manual measurement was 5.84%. The average floating deviation of SDCA of the same component was 8.60%, and the maximum floating deviation was 10.35%. The average floating deviation of SDR of the same component was 8.97%, and the maximum floating deviation was 13.58%. With the variation of surface moisture content, the average floating deviation of APAR of the same component was 9.03%, the maximum floating deviation was 9.16%, and the maximum deviation from manual measurement was 11.24%. The average floating deviation of SDCA of the same component was 6.55%, the maximum floating deviation was 8.27%, and the ave-rage floating deviation of SDR of the same component was 6.80%, and the maximum floating deviation was 10.11%. For the fair-faced concrete images collected by UAV, too much or too little light intensity would adversely affect the accuracy of the appearance quality analysis. As the surface moisture content increased, the three parameters all showed a downward trend, indicating that when drying, the difference in appearance quality was the most obvious. This method could provide timely supervision and feedback to the construction process, and had the advantages of high efficiency, quantification and automation.

Key words： fair-faced concrete appearance quality analysis unmanned aerial vehicle (UAV) image processing engineering application

Published: 08 January 2021

CLC number:

TU528

Fund:This work was financially supported by the Natural Science Foundation of China (51738003); China Railway Science and Technology Research and Development Program “Research on Key Technologies of Key Stations in Beijing-Tianjin-Hebei Region” (P2018G049).

About author:: Zhexin Hao received his bachelor's degree in Harbin Institute of Technology, majored in civil engineering in 2017. He is now studying for a master's degree in School of Materials Science and Engineering, Southeast University. His research interests are mainly fair-faced concrete and related research.Chunxiang Qian received her Ph.D. degree in Nanjing Tech University in 1992. She is currently a professor in Southeast University and director of Research Center on Green Building and Construction Materials. Her research interests are functional cement-based composites for green building and intelligent manufacture in buil-ding construction; high performance and bacterial smart concrete; bio-cement; low-carbon cementitious mate-rials and green energy saving building materials.

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	HAO Zhexin
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Cite this article:

HAO Zhexin,QIAN Chunxiang,ZHOU Hengyi, et al. Collection and Evaluation Method of Fair-faced Concrete Appearance Quality and Its Engineering Application[J]. Materials Reports, 2020, 34(Z2): 233-241.

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http://www.mater-rep.com/EN/ OR http://www.mater-rep.com/EN/Y2020/V34/IZ2/233

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