Prediction model of capillary suction in cement-based materials based on pore fractal characteristics
CSTR:
Author:
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)

Clc Number:

TV431

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    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.

    Reference
    Related
    Cited by
Get Citation

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))

Copy
Related Videos

Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:November 11,2023
  • Revised:
  • Adopted:
  • Online: November 22,2024
  • Published:
Article QR Code