IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v14y2018i10p1550147718806716.html
   My bibliography  Save this article

Analytical solution for one-dimensional consolidation of double-layered soil with exponentially time-growing drainage boundary

Author

Listed:
  • Wenbing Wu
  • Mengfan Zong
  • M Hesham El Naggar
  • Guoxiong Mei
  • Rongzhu Liang

Abstract

In this article, the exponentially time-growing drainage boundary is introduced to study the one-dimensional consolidation problem of double-layered soil. First, the one-dimensional consolidation equations of soil underlying a time-dependent loading are established. Then, the analytical solution of excess pore water pressure and average consolidation degree is obtained by utilizing the method of separation of variables when the soil layer is separately undergone instantaneous load and single-stage load. The validity of the present solution is proven by the comparison with other existing analytical solution. Finally, the influence of soil properties and loading scheme on the consolidation behavior of soil is investigated in detail. The results indicate that, the present solution can be degraded to Xie’s solution utilizing Terzaghi’s drainage boundary by adjusting the interface parameter, that is to say, Xie’s solution can be regarded as a special case of the present solution. The interface parameter has a significant influence on the excess pore water pressure of soil, and the larger interface parameter means the better drainage capacity of the soil layer.

Suggested Citation

  • Wenbing Wu & Mengfan Zong & M Hesham El Naggar & Guoxiong Mei & Rongzhu Liang, 2018. "Analytical solution for one-dimensional consolidation of double-layered soil with exponentially time-growing drainage boundary," International Journal of Distributed Sensor Networks, , vol. 14(10), pages 15501477188, October.
  • Handle: RePEc:sae:intdis:v:14:y:2018:i:10:p:1550147718806716
    DOI: 10.1177/1550147718806716
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1550147718806716
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1550147718806716?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Grzegorz Kacprzak & Artur Zbiciak & Kazimierz Józefiak & Paweł Nowak & Mateusz Frydrych, 2023. "One-Dimensional Computational Model of Gyttja Clay for Settlement Prediction," Sustainability, MDPI, vol. 15(3), pages 1-14, January.

    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:sae:intdis:v:14:y:2018:i:10:p:1550147718806716. 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: SAGE Publications (email available below). General contact details of provider: .

    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.