IDEAS home Printed from https://ideas.repec.org/a/wly/perpro/v31y2020i1p213-222.html
   My bibliography  Save this article

A predictive model of unfrozen water content including the influence of pressure

Author

Listed:
  • Feng Ming
  • Dong‐qing Li
  • Yu‐hang Liu

Abstract

Unfrozen water content has strong control on the permeability, strength and thermal properties of frozen soil. Several techniques have been used to measure unfrozen water content in frozen soil and many models have been developed for its prediction. However, there has been little investigation on the quantitative analysis of the relationship between pressure and unfrozen water content. With the development of artificial ground freezing techniques and deep mining, knowledge of unfrozen water content in frozen soil under high pressure is critical to the stability of the frozen structures. Here, a new predictive model is presented based on the relationship between chemical potential and unfrozen water content and a previous empirical formula. The simulation results are in good agreement with those from laboratory tests. Both the theoretical analysis and the test results indicated that: (a) the pressure applied to frozen soil reduces the freezing point of bulk water and delays the phase change, and (b) unfrozen water content increases with increasing pressure, and at higher pressures the change is greater. The results improve our understanding of the physical and mechanical properties of freezing soil under pressure for artificial ground freezing applications and deep mining engineering.

Suggested Citation

  • Feng Ming & Dong‐qing Li & Yu‐hang Liu, 2020. "A predictive model of unfrozen water content including the influence of pressure," Permafrost and Periglacial Processes, John Wiley & Sons, vol. 31(1), pages 213-222, January.
  • Handle: RePEc:wly:perpro:v:31:y:2020:i:1:p:213-222
    DOI: 10.1002/ppp.2037
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/ppp.2037
    Download Restriction: no

    File URL: https://libkey.io/10.1002/ppp.2037?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:perpro:v:31:y:2020:i:1:p:213-222. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)1099-1530 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.