IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i4p3476-d1067861.html
   My bibliography  Save this article

Statistical Approach Model to Evaluate Permanent Deformation of Steel Fiber Modified Asphalt Mixtures

Author

Listed:
  • Ekarizan Shaffie

    (Institute for Infrastructure Engineering and Sustainable Management, Universiti Teknologi MARA, Shah Alam 40450, Malaysia
    School of Civil Engineering, College of Engineering, Universiti Teknologi Mara, Shah Alam 40450, Malaysia)

  • Alma Aina Mohd Nasir

    (School of Civil Engineering, College of Engineering, Universiti Teknologi Mara, Shah Alam 40450, Malaysia)

  • Ramadhansyah Putra Jaya

    (Institute for Infrastructure Engineering and Sustainable Management, Universiti Teknologi MARA, Shah Alam 40450, Malaysia
    Faculty of Civil Engineering Technology, Universiti Malaysia Pahang, Kuantan 26300, Malaysia)

  • Ahmad Kamil Arshad

    (Institute for Infrastructure Engineering and Sustainable Management, Universiti Teknologi MARA, Shah Alam 40450, Malaysia
    School of Civil Engineering, College of Engineering, Universiti Teknologi Mara, Shah Alam 40450, Malaysia)

  • Nuryantizpura Mohamad Rais

    (School of Civil Engineering, College of Engineering, Universiti Teknologi Mara, Shah Alam 40450, Malaysia
    Malaysia Institute of Transport (MITRANS), Universiti Teknologi MARA, Shah Alam 40450, Malaysia)

  • Zaid Hazim Al-Saffar

    (Department of Construction Engineering and Projects Management, Al-Noor University College, Nineveh 41012, Iraq
    Building and Construction Engineering Department, Technical College of Mosul, Northern Technical University, Mosul 41002, Iraq)

Abstract

A good asphalt mixture is very important to maintain the triangle of sustainability. Many accidents occur due to pavement damage such as permanent deformation caused by the external loads induced by heavy traffic. Stone Mastic Asphalt (SMA) has a low resistance to moisture and other performances. Many researchers have conducted on SMA using various types of fiber. However, not much research has been done using steel fiber in the SMA mixture and has analyzed the result obtained using a statistical approach. The objective of this research was to identify the optimum amount of steel fiber in a modified asphalt mixture and characterize the performance of steel fiber in the SMA mixture using the statistical approach of Response Surface Methodology (RSM) in Design Expert Software. In this study, various steel fiber proportions of 0 percent, 0.3 percent, 0.5 percent, and 0.7 percent by the total weight of the SMA mixture were used. The Marshall stability and flow test, dynamic creep and moisture susceptibility test, and ultimately, RSM analysis were used to evaluate the properties and performance of the steel fiber-modified SMA, which contained 6.2 percent of PEN 60/70 asphalt binder content. The testing findings unmistakably demonstrated that the addition of steel fiber greatly improves the SMA mixture’s resistance to moisture and permanent deformation. An amount of 0.3 percent was found to be the most optimum steel fiber content from the optimization by using Response Surface Methodology, thus proven with additional steel fiber in the SMA mixture enhancing the performance of the mixture. As a result, it can be determined that the addition of steel fiber to SMA asphalt mixtures has improved the properties and performance in the construction of asphalt pavements, and the RSM method is an efficient statistical method for producing an appropriate empirical model for relating parameters and predicting the best performance of an asphaltic mixture.

Suggested Citation

  • Ekarizan Shaffie & Alma Aina Mohd Nasir & Ramadhansyah Putra Jaya & Ahmad Kamil Arshad & Nuryantizpura Mohamad Rais & Zaid Hazim Al-Saffar, 2023. "Statistical Approach Model to Evaluate Permanent Deformation of Steel Fiber Modified Asphalt Mixtures," Sustainability, MDPI, vol. 15(4), pages 1-22, February.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3476-:d:1067861
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/4/3476/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/4/3476/
    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:4:p:3476-:d:1067861. 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.