Statistical analysis of defects within concrete under elevated temperatures based on SEM image
•Thermal treatment may modify the microstructure of concrete. Heating at temperatures below and higher than 150 °C show considerably different effect on the microstructure.•A simple method is proposed to automatically identify and classify defects into microcracks and pores within concrete.•The dist...
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Veröffentlicht in: | Construction & building materials 2021-07, Vol.293, p.123503, Article 123503 |
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Sprache: | eng |
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Zusammenfassung: | •Thermal treatment may modify the microstructure of concrete. Heating at temperatures below and higher than 150 °C show considerably different effect on the microstructure.•A simple method is proposed to automatically identify and classify defects into microcracks and pores within concrete.•The distributions of the area, center coordinates , and axis orientation of microcracks may vary with the initial concrete loading condition and temperature.•Log-normal and normal distributions may be suitable for the distribution of aspect ratio and solidity of microcracks, respectively.
Concrete is a multiphase composite material consisting of aggregates, mortar, and initial defects. This work aims to quantitatively study the distribution and evolution of initial defects under elevated temperatures. To minimize the effect of hydration process and thermal and endogenous shrinkage, concrete samples cured in water for 12 months is tested. In order to study the effect of external load on the initial distribution of defects within concrete, concrete samples without pre-loading and pre-applied with 30% of the failure load are selected as research objects. The evolution of defects within the concrete samples are characterized using scanning electron microscopy (SEM). By employing an image processing software, the two-dimensional configurations of defects are extracted from the backscattered images obtained by SEM. Each defect is identified and approximated using an optimal ellipse. Thereafter, the defects are automatically recognized and classified into microcracks and pores by utilizing the image processing software and MATLAB programming. Consequently, the distribution and propagation of microcracks and pores in concrete could be quantitatively and separately analyzed. Statistical analysis of area, perimeter, and fitting ellipse parameters (e.g., major axis, minor axis, coordinates of the center, axis orientation, aspect ratio, and solidity) can provide the distribution of initial defects within concrete. It is demonstrated that the area of microcracks consistently increases with temperature. Log-normal and normal distributions may be suitable for the distribution of aspect ratio and solidity of microcracks, respectively, for both concrete samples with and without pre-applied loading under all elevated temperatures (40, 105, 150, 200, and 250 ℃). However, the distributions of area, coordinates of the center, and axis orientation of microcracks may vary with the initial con |
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ISSN: | 0950-0618 1879-0526 |
DOI: | 10.1016/j.conbuildmat.2021.123503 |