IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v64y2012i1p441-457.html
   My bibliography  Save this article

A prediction method using grey model for cumulative plastic deformation under cyclic loads

Author

Listed:
  • Xing-Wei Ren
  • Yi-Qun Tang
  • Jun Li
  • Qi Yang

Abstract

Being able to predict cumulative plastic deformation of soil under cyclic loading has been quite a popular subject for researchers both in the past and at present. In this paper, a non-equal interval non-homogeneous exponential grey model NNGM (1, 1) for cumulative plastic deformation has been put forward by improving the traditional grey model GM (1, 1). The proposed model was evaluated by numerous experimental data of existing literatures and found to be valid for a wide range of soils. It is also valid for predicting long-term settlement of subgrade under subway loads and has a better performance than the traditional model GM (1, 1) as well as non-homogeneous exponential model NEM. Copyright Springer Science+Business Media B.V. 2012

Suggested Citation

  • Xing-Wei Ren & Yi-Qun Tang & Jun Li & Qi Yang, 2012. "A prediction method using grey model for cumulative plastic deformation under cyclic loads," 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 441-457, October.
    • Handle: RePEc:spr:nathaz:v:64:y:2012:i:1:p:441-457
    DOI: 10.1007/s11069-012-0248-8
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11069-012-0248-8
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11069-012-0248-8?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.

    Citations

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


    Cited by:

    1. Huiming Duan & Xinping Xiao & Lingling Pei, 2017. "Forecasting the Short-Term Traffic Flow in the Intelligent Transportation System Based on an Inertia Nonhomogenous Discrete Gray Model," Complexity, Hindawi, vol. 2017, pages 1-16, July.
    2. Yonghong Hao & Xiang Chen & Xuemeng Wang, 2014. "Investigation of karst hydrological processes by using grey auto-incidence analysis," 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. 71(2), pages 1017-1024, March.
    3. Zibo Du & Zheng Zhang & Lei Wang & Jingwei Zhang & Yonghui Li, 2023. "Effect of Moisture Content on the Permanent Strain of Yellow River Alluvial Silt under Long-Term Cyclic Loading," Sustainability, MDPI, vol. 15(17), pages 1-24, September.
    4. Huiming Duan & Xinping Xiao, 2019. "A Multimode Dynamic Short-Term Traffic Flow Grey Prediction Model of High-Dimension Tensors," Complexity, Hindawi, vol. 2019, pages 1-18, June.

    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:64:y:2012:i:1:p:441-457. 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: 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.