YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Journal of Cold Regions Engineering
    • View Item
    •   YE&T Library
    • ASCE
    • Journal of Cold Regions Engineering
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Estimating Unfrozen Water Content in Frozen Soils Based on Soil Particle Distribution

    Source: Journal of Cold Regions Engineering:;2020:;Volume ( 034 ):;issue: 002
    Author:
    Enxi Qiu
    ,
    Xusheng Wan
    ,
    Mengfei Qu
    ,
    Lining Zheng
    ,
    Changmao Zhong
    ,
    Fumao Gong
    ,
    Li Liu
    DOI: 10.1061/(ASCE)CR.1943-5495.0000208
    Publisher: ASCE
    Abstract: The unfrozen water content is a result of soil freezing, and its variation is closely related to temperature. To study the change in unfrozen water content, a relationship between water pressure and ice pressure is built based on the Clapeyron equation. Then, using an assumption of coincident faces between the water–ice interface and the water–air interface, a formula is deduced to estimate the unfrozen water content via the soil-water potential curve combined with the capillary pressure theory. In this process, the soil particle size distribution curve is introduced to determine the soil pore-size distribution and obtain the soil-water potential curve. Finally, verification and analysis are performed by comparing these results with the pre-existing test data for unfrozen water content. The results show that unfrozen water content can be calculated by means of the soil particle size distribution curve, and the simulation accuracy has a positive correlation with the degree of saturation occupied by water. Moreover, the equivalent aperture size increases as the mean grain size of the soil increases, and the equivalent aperture size increases sharply and approaches the mean particle size when the mean is within a range of relatively large values. Additionally, the value of scale parameter α has an obvious influence on the unfrozen water content curve, as enlargement of α causes an increase in the unfrozen water content and makes water freezing in soils more difficult, and vice versa.
    • Download: (1008.Kb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Estimating Unfrozen Water Content in Frozen Soils Based on Soil Particle Distribution

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4265280
    Collections
    • Journal of Cold Regions Engineering

    Show full item record

    contributor authorEnxi Qiu
    contributor authorXusheng Wan
    contributor authorMengfei Qu
    contributor authorLining Zheng
    contributor authorChangmao Zhong
    contributor authorFumao Gong
    contributor authorLi Liu
    date accessioned2022-01-30T19:25:37Z
    date available2022-01-30T19:25:37Z
    date issued2020
    identifier other%28ASCE%29CR.1943-5495.0000208.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4265280
    description abstractThe unfrozen water content is a result of soil freezing, and its variation is closely related to temperature. To study the change in unfrozen water content, a relationship between water pressure and ice pressure is built based on the Clapeyron equation. Then, using an assumption of coincident faces between the water–ice interface and the water–air interface, a formula is deduced to estimate the unfrozen water content via the soil-water potential curve combined with the capillary pressure theory. In this process, the soil particle size distribution curve is introduced to determine the soil pore-size distribution and obtain the soil-water potential curve. Finally, verification and analysis are performed by comparing these results with the pre-existing test data for unfrozen water content. The results show that unfrozen water content can be calculated by means of the soil particle size distribution curve, and the simulation accuracy has a positive correlation with the degree of saturation occupied by water. Moreover, the equivalent aperture size increases as the mean grain size of the soil increases, and the equivalent aperture size increases sharply and approaches the mean particle size when the mean is within a range of relatively large values. Additionally, the value of scale parameter α has an obvious influence on the unfrozen water content curve, as enlargement of α causes an increase in the unfrozen water content and makes water freezing in soils more difficult, and vice versa.
    publisherASCE
    titleEstimating Unfrozen Water Content in Frozen Soils Based on Soil Particle Distribution
    typeJournal Paper
    journal volume34
    journal issue2
    journal titleJournal of Cold Regions Engineering
    identifier doi10.1061/(ASCE)CR.1943-5495.0000208
    page04020002
    treeJournal of Cold Regions Engineering:;2020:;Volume ( 034 ):;issue: 002
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian