2021
DOI: 10.1016/j.conbuildmat.2020.121262
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Pore structure characteristics and performance of construction waste composite powder-modified concrete

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Cited by 19 publications
(9 citation statements)
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“…Pores with sizes of 0.01~2 µm are used to calculate the fractal dimension D l of the pore throat, and the pores with sizes of 2~1000 µm are used to calculate the fractal dimension D S of the pore surface [ 26 ].…”
Section: Resultsmentioning
confidence: 99%
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“…Pores with sizes of 0.01~2 µm are used to calculate the fractal dimension D l of the pore throat, and the pores with sizes of 2~1000 µm are used to calculate the fractal dimension D S of the pore surface [ 26 ].…”
Section: Resultsmentioning
confidence: 99%
“…Zhu et al [ 25 ] found that the pore size distribution of recycled aggregate concrete under chloride ion corrosion has similar fractal characteristics, and the fractal dimension increases first and then decreases with the increase in pore size. Guo et al [ 26 ] studied the effect of construction waste composite powder materials as supplementary cementitious materials on the performance of concrete and found that the pore size fractal dimension can characterize the pore structure of concrete, which has a significant correlation with compressive strength and the chloride ion diffusion coefficient. Jin et al [ 27 ] thought that the fractal dimension could quantitatively characterize pore structure and established a freeze–thaw damage model with fractal dimension.…”
Section: Introductionmentioning
confidence: 99%
“…Of note, Equation (8) proposed in this paper firstly performs GRE analysis to find the sensitive pore size, which leads to certain limitations in the use of Equation (8). The use of Equation (8) requires that the pore structure data must meet conditions that the pore radius range is consistent and the concrete strength grade and age should also be consistent.…”
Section: Revised Strength-pore Structure Modelmentioning
confidence: 99%
“…It should be noted that Equations ( 9)-( 12), which consider only the impact of porosity on the concrete's strength, the correlation coefficient reaches 0.535 on average; Equation (13), considering the factors of average pore radius and porosity, has a correlation coefficient of 0.578; Equation (6), taking into account the average pore radius, porosity, and cement content, has a correlation coefficient of 0.780; Equation (8) has the largest fitting accuracy, reaching 0.850, and the concrete's strength is related not only to porosity, but also to average pore radius, cement content and sensitive pore radius. Considering the influence of the sensitive pore radius on the strength of concrete, it is more reasonable to predict the strength of concrete with Equation (8) proposed in this paper.…”
Section: Verification Of the Revised Model With Data Imentioning
confidence: 99%
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