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

    Source: Journal of Cold Regions Engineering:;2026:;Volume ( 040 ):;issue: 001::page 04025050-1
    Author:
    Bi, Jun
    ,
    Pan, Yuxuan
    ,
    Mu, Wenxuan
    ,
    Yang, Sheng
    ,
    Wang, Guoxu
    ,
    Mao, Mengyao
    ,
    Wang, Shengnian
    ,
    Wei, Tingting
    DOI: 10.1061/JCRGEI.CRENG-991
    Publisher: American Society of Civil Engineers
    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 ...
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      Predicting the Unfrozen Water Content of Freezing Soils Using an Artificial Neural Network Model

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4311267
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    contributor authorBi, Jun
    contributor authorPan, Yuxuan
    contributor authorMu, Wenxuan
    contributor authorYang, Sheng
    contributor authorWang, Guoxu
    contributor authorMao, Mengyao
    contributor authorWang, Shengnian
    contributor authorWei, Tingting
    date accessioned2026-08-20T10:47:44Z
    date available2026-08-20T10:47:44Z
    date copyright2025/11/12
    date issued2026
    identifier otherJCRGEI.CRENG-991.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311267
    description abstractAbstract 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 ...
    publisherAmerican Society of Civil Engineers
    titlePredicting the Unfrozen Water Content of Freezing Soils Using an Artificial Neural Network Model
    typeJournal Article
    journal volume40
    journal issue1
    journal titleJournal of Cold Regions Engineering
    identifier doi10.1061/JCRGEI.CRENG-991
    journal fristpage04025050-1
    journal lastpage04025050-15
    page15
    treeJournal of Cold Regions Engineering:;2026:;Volume ( 040 ):;issue: 001
    contenttypeFulltext
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