Modeling Drying Shrinkage of Concrete Based on Differences in Fine-Aggregate Properties

Cuizhen Xue , Gaixia Miao , Aoxiang Zhou

Journal of Wuhan University of Technology Materials Science Edition ›› 2025, Vol. 40 ›› Issue (6) : 1672 -1688.

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Journal of Wuhan University of Technology Materials Science Edition ›› 2025, Vol. 40 ›› Issue (6) :1672 -1688. DOI: 10.1007/s11595-025-3204-7
Cementitious Materials
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Modeling Drying Shrinkage of Concrete Based on Differences in Fine-Aggregate Properties
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Abstract

To study the effects of fine-aggregates on the drying-shrinkage properties of concrete, two types of manufactured-sand and one type of natural sand (excluding <75 µm particles) were selected for tests, and nine sets of concrete drying shrinkage tests were designed with three strength grade (C30, C40, and C50) as variables. By observing the drying-shrinkage deformation of the specimens over 360 days, the effects of fine-aggregate properties on the drying shrinkage properties of concrete of different strength grades were analyzed and a prediction model was developed. Compared with natural sand concrete, the development of drying shrinkage of manufactured-sand concrete exhibits the phenomenon of advancement. The apparent density of the fine-aggregate and the strength grade are the two main factors affecting the limit value of the drying shrinkage of concrete. With a reduction in the water absorption or apparent density of the fine-aggregate or the strength grade of concrete prepared using the same fine-aggregate, the prediction accuracy of the existing models decreases. According to the GL 2000 model, two coefficients-and-were introduced to propose a prediction model for the drying shrinkage of fine-aggregate concrete, which is applicable to different strength grades.

Keywords

concrete / drying shrinkage / fine-aggregate / modeling

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Cuizhen Xue, Gaixia Miao, Aoxiang Zhou. Modeling Drying Shrinkage of Concrete Based on Differences in Fine-Aggregate Properties. Journal of Wuhan University of Technology Materials Science Edition, 2025, 40(6): 1672-1688 DOI:10.1007/s11595-025-3204-7

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