IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v8y2020i3p456-d336128.html
   My bibliography  Save this article

Mathematical Models for Stress–Strain Behavior of Nano Magnesia-Cement-Reinforced Seashore Soft Soil

Author

Listed:
  • Wei Wang

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

  • Yong Fu

    (Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China)

  • Chen Zhang

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

  • Na Li

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

  • Aizhao Zhou

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

Abstract

The stress–strain behavior of nano magnesia-cement-reinforced seashore soft soil (Nmcs) under different circumstances exhibits various characteristics, e.g., strain-hardening behavior, falling behavior, S-type falling behavior, and strong softening behavior. This study therefore proposes a REP (reinforced exponential and power function)-based mathematical model to simulate the various stress–strain behaviors of Nmcs under varying conditions. Firstly, the mathematical characteristics of different constitutive behaviors of Nmcs are explicitly discussed. Secondly, the conventional mathematical models and their applicability for modeling stress–strain behavior of cemented soil are examined. Based on the mathematical characteristics of different stress–strain curves and the features of different conventional models, a simple mathematical REP model for simulating the hardening behavior, modified falling behavior and strong softening behavior is proposed. Moreover, a CEL (coupled exponential and linear) model improved from the REP model is also put forth for simulating the S-type stress–strain behavior of Nmcs. Comparisons between conventional models and the proposed REP-based models are made which verify the feasibility of the proposed models. The proposed REP-based models may facilitate researchers in the assessment and estimation of stress–strain constitutive behaviors of Nmcs subjected to different scenarios.

Suggested Citation

  • Wei Wang & Yong Fu & Chen Zhang & Na Li & Aizhao Zhou, 2020. "Mathematical Models for Stress–Strain Behavior of Nano Magnesia-Cement-Reinforced Seashore Soft Soil," Mathematics, MDPI, vol. 8(3), pages 1-18, March.
  • Handle: RePEc:gam:jmathe:v:8:y:2020:i:3:p:456-:d:336128
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/8/3/456/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/8/3/456/
    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:jmathe:v:8:y:2020:i:3:p:456-:d:336128. 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.