IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v94y2018i1d10.1007_s11069-018-3385-x.html
   My bibliography  Save this article

Numerical modelling of hydro-mechanical behaviour of ground settlement due to rising water table in loess

Author

Listed:
  • Yanrong Xu

    (Lanzhou University
    National University of Singapore)

  • C. F. Leung

    (National University of Singapore)

  • Jian Yu

    (National University of Singapore
    Tongji University)

  • Wenwu Chen

    (Lanzhou University)

Abstract

The numerical simulation of collapsible settlement in loess soil subjected to rising ground water table is presented in this paper. A coupled hydro-mechanical model is proposed. Comparisons between the results of numerical simulations and those of oedometer and in situ water immersion field test in Lanzhou, northwest China, reveal good agreement, which validates the proposed model formulation. Factors that influence the ground settlement of loess including initial elevation of ground water table, rising water height and velocity are then evaluated. The results of the analyses reveal that the most critical situation of largest possible ground settlement due to ground water rising in loess involves initial water table elevation of 10 m and rising water velocity of 0.5 m/year. Two upper bound lines of predicted maximum possible ground settlement are proposed to facilitate a preliminary quick evaluation of ground settlement due to rising water under different water table scenarios in loess.

Suggested Citation

  • Yanrong Xu & C. F. Leung & Jian Yu & Wenwu Chen, 2018. "Numerical modelling of hydro-mechanical behaviour of ground settlement due to rising water table in loess," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(1), pages 241-260, October.
    • Handle: RePEc:spr:nathaz:v:94:y:2018:i:1:d:10.1007_s11069-018-3385-x
    DOI: 10.1007/s11069-018-3385-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-018-3385-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11069-018-3385-x?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mehdi Momeni & Ali Shafiee & Mojtaba Heidari & Mohammad Jafari & Mohammad Mahdavifar, 2012. "Evaluation of soil collapse potential in regional scale," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(1), pages 459-479, October.
    2. Y. Tang & Q. Xue & Z. Li & W. Feng, 2015. "Three modes of rainfall infiltration inducing loess landslide," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(1), pages 137-150, October.
    3. Ling Xu & Xiaojuan Qiao & Caixia Wu & Javed Iqbal & Fuchu Dai, 2012. "Causes of landslide recurrence in a loess platform with respect to hydrological processes," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(2), pages 1657-1670, November.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Zhilu Chang & Huanxiang Gao & Faming Huang & Jiawu Chen & Jinsong Huang & Zizheng Guo, 2020. "Study on the creep behaviours and the improved Burgers model of a loess landslide considering matric suction," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(1), pages 1479-1497, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xiang-Zhou Xu & Wen-Zhao Guo & Ya-Kun Liu & Jian-Zhong Ma & Wen-Long Wang & Hong-Wu Zhang & Hang Gao, 2017. "Landslides on the Loess Plateau of China: a latest statistics together with a close look," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(3), pages 1393-1403, April.
    2. Tanmoy Das & Vansittee Dilli Rao & Deepankar Choudhury, 2022. "Numerical investigation of the stability of landslide-affected slopes in Kerala, India, under extreme rainfall event," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(1), pages 751-785, October.
    3. Zongji Yang & Bo Pang & Wufan Dong & Dehua Li & Wei Shao, 2023. "Hydromechanical coupling mechanism and an early warning method for paraglacial debris flows triggered by infiltration: Insights from field monitoring in Tianmo gully, Tibetan Plateau," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(3), pages 3287-3305, July.
    4. Siyuan Ma & Jiangbo Wei & Chong Xu & Xiaoyi Shao & Shiyang Xu & Shaofeng Chai & Yulong Cui, 2020. "UAV survey and numerical modeling of loess landslides: an example from Zaoling, southern Shanxi Province, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(1), pages 1125-1140, October.
    5. Yaming Tang & Yinqiang Bi & Zizheng Guo & Zhengguo Li & Wei Feng & Jiayun Wang & Yane Li & Hongna Ma, 2021. "A Novel Method for Obtaining the Loess Structural Index from Computed Tomography Images: A Case Study from the Lvliang Mountains of the Loess Plateau (China)," Land, MDPI, vol. 10(3), pages 1-15, March.

    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:spr:nathaz:v:94:y:2018:i:1:d:10.1007_s11069-018-3385-x. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.