IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i4p1616-d323438.html
   My bibliography  Save this article

Characterization of the Dynamic Properties of Clay–Gravel Mixtures at Low Strain Level

Author

Listed:
  • Xianwen Huang

    (Department of Civil and Architecture Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, China)

  • Aizhao Zhou

    (Department of Civil and Architecture Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, China)

  • Wei Wang

    (School of Civil Engineering, Shaoxing University, Shaoxing 312000, China)

  • Pengming Jiang

    (Department of Civil and Architecture Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, China)

Abstract

In order to support the dynamic design of subgrade filling engineering, an experiment on the dynamic shear modulus (G) and damping ratio (D) of clay–gravel mixtures (CGMs) was carried out. Forty-two groups of resonant column tests were conducted to explore the effects of gravel content (0%, 10%, 20%, 30%, 40%, 50%, and 60%, which was the mass ratio of gravel to clay), gravel shape (round and angular gravels), and confining pressure (100, 200, and 300 kPa) on the dynamic shear modulus, and damping ratio of CGMs under the same compacting power. The test results showed that, with the increase of gravel content, the maximum dynamic shear modulus of CGMs increases, the referent shear strain increases linearly, and the minimum and maximum damping ratios decrease gradually. In CGMs with round gravels, the maximum dynamic shear modulus and the maximum damping ratio are greater, and the referent shear strain and the minimum damping ratio are smaller, compared to those with angular gravels. With the increase of confining pressure, the maximum dynamic shear modulus and the referent shear strain increase nonlinearly, while the minimum and maximum damping ratios decrease nonlinearly. The predicting equation for the dynamic shear modulus and the damping ratio of CGMs when considering confining pressure, gravel content, and shape was established. The results of this research may put forward a solid foundation for engineering design considering low-strain-level mechanical performance.

Suggested Citation

  • Xianwen Huang & Aizhao Zhou & Wei Wang & Pengming Jiang, 2020. "Characterization of the Dynamic Properties of Clay–Gravel Mixtures at Low Strain Level," Sustainability, MDPI, vol. 12(4), pages 1-18, February.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:4:p:1616-:d:323438
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/4/1616/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/4/1616/
    Download Restriction: no
    ---><---

    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:gam:jsusta:v:12:y:2020:i:4:p:1616-:d:323438. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.