基于孔隙分形特征的水泥基毛细吸力预测模型
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作者单位:

(1.三峡大学水电工程施工与管理湖北省重点实验室,湖北 宜昌443002;2.三峡大学水利与环境学院,湖北 宜昌443002;3.华北水利水电大学水利学院,河南 郑州450046 )

作者简介:

童富果(1972—),男,教授,博士,主要从事水工材料及岩土介质多相流与多场耦合研究。E-mail:tfg@ctgu.edu.cn

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中图分类号:

TV431

基金项目:

国家自然科学基金青年科学基金项目(52209135);国家自然科学基金重点项目(51939004);湖北省自然科学基金项目(2024AFB813)


Prediction model of capillary suction in cement-based materials based on pore fractal characteristics
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Affiliation:

(1.Hubei Key Laboratory of Hydropower Engineering Construction and Management, China Three Gorges University, Yichang 443002, China;2.College of Hydraulic and Environmental Engineering, China Three Gorges University, Yichang 443002, China;3.School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

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    摘要:

    为深入理解水泥基毛细吸力与含水量的关系,采用分形几何学方法和毛细管理论提出了考虑孔隙分形特征的水泥基毛细吸力预测模型。该模型通过建立分形模型参数与试样配合比的拟合关系,实现了不同配合比水泥基毛细吸力的快速预测。基于相对湿度法开展了水泥基孔径分布测量验证试验,结果表明:不同配合比(水、灰、砂)水泥基试样孔隙均具有明显分形特性,可用Menger海绵体分形模型较好描述;毛细吸力模型预测结果与验证试验测试结果的偏差主要集中在±20%以内,模型可以较为准确地预测水泥基毛细吸力与含水量的关系。

    Abstract:

    To gain an in-depth understanding of the relationship between capillary suction and moisture content in cement-based materials, a prediction model for capillary suction in cement-based materials considering pore fractal characteristics was developed based on the fractal geometry approach and the capillary theory. This model establishes a fitting relationship between the fractal model parameters and the sample mix proportion, enabling rapid prediction of capillary suction for cement-based materials with different mix proportions. Verification experiments measuring pore size distribution were conducted based on the relative humidity method. The results indicate that samples with different mix proportions (water, ash, and sand) exhibit significant fractal characteristics, which could be well described by the Menger sponge fractal model. The deviation between the predicted results of the capillary suction model and the experimental test results was mainly within ±20%, demonstrating that the model can accurately predict the relationship between capillary suction and moisture content in cement-based materials.

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童富果,蔡文婧,薛松,等.基于孔隙分形特征的水泥基毛细吸力预测模型[J].水利水电科技进展,2024,44(6):27-33.(TONG Fuguo, CAI Wenjing, XUE Song, et al. Prediction model of capillary suction in cement-based materials based on pore fractal characteristics[J]. Advances in Science and Technology of Water Resources,2024,44(6):27-33.(in Chinese))

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  • 收稿日期:2023-11-11
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  • 在线发布日期: 2024-11-22
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