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Volume 46 Issue 7
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YING Sai, XIA Xiaozhou, WEN Tao, ZHOU Fengxi, CAO Yapeng, LI Guoyu, ZHANG Qing. Experimental study on freezing characteristic curve of soils based on nuclear magnetic resonance technology[J]. Chinese Journal of Geotechnical Engineering, 2024, 46(7): 1437-1444. DOI: 10.11779/CJGE20230301
Citation: YING Sai, XIA Xiaozhou, WEN Tao, ZHOU Fengxi, CAO Yapeng, LI Guoyu, ZHANG Qing. Experimental study on freezing characteristic curve of soils based on nuclear magnetic resonance technology[J]. Chinese Journal of Geotechnical Engineering, 2024, 46(7): 1437-1444. DOI: 10.11779/CJGE20230301
shu

Experimental study on freezing characteristic curve of soils based on nuclear magnetic resonance technology

  • 1.

    College of Mechanics and Materials, Hohai University, Nanjing 211100, China

  • 2.

    Suzhou Niumag Analytical Instrument Corporation, Suzhou 215151, China

  • 3.

    Engineering Research Center for Health Monitoring in Building Life Cycle and Disaster Prevention, Yangtze Normal University, Chongqing 408100, China

  • 4.

    College of Civil Engineering, Lanzhou University of Technology, Lanzhou 730000, China

  • 5.

    State Key Laboratory of Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China

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  • Received Date: April 09, 2023
  • Available Online: November 01, 2023
    Graphical Abstract
    • Abstract
  • The freezing characteristic curve describes the variation of unfrozen water content with temperature in soils, and it is of engineering value to provide a model for calculating freezing characteristic curves suitable for different soil types. The freezing characteristic curves of six kinds of soils are tested by using the nuclear magnetic resonance technology, and a method for determining parameters of Michalowski model describing the freezing characteristic curves of soils is given. The influences of the initial water content and soil properties on the freezing characteristic curve are analyzed, and the model is improved by using the characteristics of Michalowski model parameters. The study shows that the freezing characteristic curve is independent of the initial water content, and that of the soils with different initial water contents is the same during the freezing process. Without considering the influences of temperature, the model parameter wa is approximately equal to the maximum of bound water content in the soils, which can be used as an important index parameter to analyze and evaluate the characteristics of clay. The practical value is improved by the single-parameter Michalowski model as it performs well in predicting unfrozen water content with less model complexity, but the applicability of the model needs to be verified.
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    • References (25)
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