IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i14p11135-d1196164.html
   My bibliography  Save this article

Mechanical Properties of Polypropylene Fiber Recycled Brick Aggregate Concrete and Its Influencing Factors by Gray Correlation Analysis

Author

Listed:
  • Shangwei Gong

    (School of Civil Engineering and Geomatics, Shang Dong University of Technology, Zibo 255049, China)

  • Lichao Bai

    (School of Civil Engineering and Geomatics, Shang Dong University of Technology, Zibo 255049, China)

  • Zhenyu Tan

    (School of Engineering Management, Krirk University, Bangkok 10220, Thailand)

  • Lina Xu

    (School of Transportation Science and Engineering, Jilin Jianzhu University, Changchun 130118, China)

  • Xiaohong Bai

    (College of Civil Engineering, Taiyuan University of Technology, Taiyuan 030024, China)

  • Zhanfang Huang

    (School of Civil Engineering and Geomatics, Shang Dong University of Technology, Zibo 255049, China)

Abstract

Making construction waste into raw materials for recycled concrete is beneficial for resource conservation and environmental protection. This paper investigated the effects of different recycled brick aggregate (RBA) replacement rates (30%, 50%, 70%, and 100%) and different contents of polypropylene fibers (PPFs) (0.08%, 0.10%, 0.12%, 0.16%, and 0.2%) on the mechanical properties of recycled brick concrete. Gray correlation was also used to analyze the degree of effect factors on the mechanical properties of concrete. The results showed that the mechanical properties decreased when the natural coarse aggregate (NCA) was replaced with RBA, while PPFs could better improve the mechanical properties of RBA concrete. The improvement of compressive and flexural properties was optimal when the PPF content was 0.12%; the improvement of tensile properties was optimal when the PPF content was 0.2%. In addition, PPFs significantly improved the toughness of RBA concrete. The gray correlation degrees between compressive strength (tensile strength, flexural strength) and NCA, RBA, and PPFs were 0.8964 (0.8691, 0.8935), 0.7301 (0.6530, 0.7074), and 0.5873 (0.5870, 0.5840), respectively.

Suggested Citation

  • Shangwei Gong & Lichao Bai & Zhenyu Tan & Lina Xu & Xiaohong Bai & Zhanfang Huang, 2023. "Mechanical Properties of Polypropylene Fiber Recycled Brick Aggregate Concrete and Its Influencing Factors by Gray Correlation Analysis," Sustainability, MDPI, vol. 15(14), pages 1-19, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:11135-:d:1196164
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/14/11135/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/14/11135/
    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:15:y:2023:i:14:p:11135-:d:1196164. 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.