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    Predicting the Unfrozen Water Content of Freezing Soils Using an Artificial Neural Network Model

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    JCRGEI.CRENG-991.pdf (2.127Mb)
    Date
    2026
    Author
    Bi, Jun
    Pan, Yuxuan
    Mu, Wenxuan
    Yang, Sheng
    Wang, Guoxu
    Mao, Mengyao
    Wang, Shengnian
    Wei, Tingting
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    Abstract
    Abstract Unfrozen water content is one of the most prominent hydrothermal properties because it largely affects the hydraulic, physical, and mechanical behavior of frozen soils. However, the accurate estimation of unfrozen water contents under different ...
    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4311267
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