Texture analysis of the microstructure of internal curing concrete based on image recognition technology
Mechanical properties of internal curing concrete are greatly affected by its physical properties such as water content, cementing material content, porosity, and saturation. At the micro- level, such impact is finally reflected in the surface texture of its materials. In this study, the image recog...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-12-01
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| Series: | Case Studies in Construction Materials |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214509522004922 |
| _version_ | 1811221525765816320 |
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| author | Lixia Guo Weikai Wang Ling Zhong Lei Guo Fangfang Zhang Yuhang Guo |
| author_facet | Lixia Guo Weikai Wang Ling Zhong Lei Guo Fangfang Zhang Yuhang Guo |
| author_sort | Lixia Guo |
| collection | DOAJ |
| description | Mechanical properties of internal curing concrete are greatly affected by its physical properties such as water content, cementing material content, porosity, and saturation. At the micro- level, such impact is finally reflected in the surface texture of its materials. In this study, the image recognition technology was used to find that the internal curing concrete samples have significant micromorphology and texture features. A texture parameter–strength model was established based on the relationship between Tamura texture parameters, gray level co-occurrence matrix (GLCM) texture parameters, and the mechanical strength. Due to the sensitivity of material properties and parameters, in terms of Tamura texture characteristics, coarseness, regularity and directionality are effective parameters for predicting the compressive strength of internally curing concrete. In terms of the GLCM texture, energy, correlation, entropy, and contrast are effective parameters to predict the compressive strength of the internal curing concrete. Correlations between each texture parameter and compressive strength follow different laws. |
| first_indexed | 2024-04-12T08:01:59Z |
| format | Article |
| id | doaj.art-486bd68eb6544800ab71af99b0e1cd45 |
| institution | Directory Open Access Journal |
| issn | 2214-5095 |
| language | English |
| last_indexed | 2024-04-12T08:01:59Z |
| publishDate | 2022-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Construction Materials |
| spelling | doaj.art-486bd68eb6544800ab71af99b0e1cd452022-12-22T03:41:17ZengElsevierCase Studies in Construction Materials2214-50952022-12-0117e01360Texture analysis of the microstructure of internal curing concrete based on image recognition technologyLixia Guo0Weikai Wang1Ling Zhong2Lei Guo3Fangfang Zhang4Yuhang Guo5School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China; Henan Water Valley Research Institute, Zhengzhou 450046, China; Henan Key Laboratory of Water Environment Simulation and Treatment, Zhengzhou 450002, ChinaSchool of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, ChinaSchool of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China; Henan Water Valley Research Institute, Zhengzhou 450046, China; Henan Key Laboratory of Water Environment Simulation and Treatment, Zhengzhou 450002, China; Corresponding author at: School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China.School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China; Henan Water Valley Research Institute, Zhengzhou 450046, China; Henan Key Laboratory of Water Environment Simulation and Treatment, Zhengzhou 450002, ChinaSchool of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, ChinaSchool of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, ChinaMechanical properties of internal curing concrete are greatly affected by its physical properties such as water content, cementing material content, porosity, and saturation. At the micro- level, such impact is finally reflected in the surface texture of its materials. In this study, the image recognition technology was used to find that the internal curing concrete samples have significant micromorphology and texture features. A texture parameter–strength model was established based on the relationship between Tamura texture parameters, gray level co-occurrence matrix (GLCM) texture parameters, and the mechanical strength. Due to the sensitivity of material properties and parameters, in terms of Tamura texture characteristics, coarseness, regularity and directionality are effective parameters for predicting the compressive strength of internally curing concrete. In terms of the GLCM texture, energy, correlation, entropy, and contrast are effective parameters to predict the compressive strength of the internal curing concrete. Correlations between each texture parameter and compressive strength follow different laws.http://www.sciencedirect.com/science/article/pii/S2214509522004922Internal curing concreteMicrostructureTexture featureScanning electron microscopyTamura textureCompressive strength |
| spellingShingle | Lixia Guo Weikai Wang Ling Zhong Lei Guo Fangfang Zhang Yuhang Guo Texture analysis of the microstructure of internal curing concrete based on image recognition technology Case Studies in Construction Materials Internal curing concrete Microstructure Texture feature Scanning electron microscopy Tamura texture Compressive strength |
| title | Texture analysis of the microstructure of internal curing concrete based on image recognition technology |
| title_full | Texture analysis of the microstructure of internal curing concrete based on image recognition technology |
| title_fullStr | Texture analysis of the microstructure of internal curing concrete based on image recognition technology |
| title_full_unstemmed | Texture analysis of the microstructure of internal curing concrete based on image recognition technology |
| title_short | Texture analysis of the microstructure of internal curing concrete based on image recognition technology |
| title_sort | texture analysis of the microstructure of internal curing concrete based on image recognition technology |
| topic | Internal curing concrete Microstructure Texture feature Scanning electron microscopy Tamura texture Compressive strength |
| url | http://www.sciencedirect.com/science/article/pii/S2214509522004922 |
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