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Volume 40 Issue S1
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ZHANG Zhao, LIU Feng-yin, QI Ji-lin, CHAI Jun-rui, LI Hui-yong, LI Jian-jun. Physical approach to predict water retention curves for unsaturated soils based on particle-size distribution[J]. Chinese Journal of Geotechnical Engineering, 2018, 40(S1): 241-246. DOI: 10.11779/CJGE2018S1039
Citation: ZHANG Zhao, LIU Feng-yin, QI Ji-lin, CHAI Jun-rui, LI Hui-yong, LI Jian-jun. Physical approach to predict water retention curves for unsaturated soils based on particle-size distribution[J]. Chinese Journal of Geotechnical Engineering, 2018, 40(S1): 241-246. DOI: 10.11779/CJGE2018S1039
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Physical approach to predict water retention curves for unsaturated soils based on particle-size distribution

  • 1. Institute of Geotechnical Engineering, Xi'an University of Technology, Xi'an 710048, China;
    2. College of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China;
    3. State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China (Xi'an University of Technology), Xi'an 710048, China;
    4. College of Hydraulic and Environmental Engineering, China Three Gorges University, Yichang 443002, China;
    5. Sinohydro Foundation Engineering Co., Ltd., Tianjin 301700, China;
    6. CCCC Investment Development Co., Ltd., Xi'an 710075, China

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  • Received Date: February 23, 2018
  • Published Date: August 24, 2018
    Graphical Abstract
    • Abstract
  • Unknown empirical parameters in water retention models may reduce the reliability of prediction. The cube-shaped assemblages of natural soil and idealized spherical particles are developed according to the fractions from particle-size distribution. On the basis of geometry and physical properties, a relationship of proportionality between them is then proposed to provide a physical approach for computing pore radii and water retention curves of soils from particle-size fractions, bulk density and particle density without incorporating unknown empirical parameters. Finally, the physical approach is validated against the test data of water retention for a total of forty soil samples from the hydraulic property database UNSODA. The results of RMSR between the predicted and the measured values of matric suction show that the distribution of RMSR values ranges from 0.179 to 0.833. This physical approach is also superior to the traditional Arya model which requires two unknown empirical parameters for describing the water retention curves for thirty seven of the forty soil samples.
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    • References (20)
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