IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i14p11147-d1196081.html
   My bibliography  Save this article

Optimisation of Mechanical Characteristics of Alkali-Resistant Glass Fibre Concrete towards Sustainable Construction

Author

Listed:
  • Hammad Tahir

    (Department of Civil Engineering, Sir Syed University of Engineering and Technology, University Road, Karachi 75300, Pakistan)

  • Muhammad Basit Khan

    (Department of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Malaysia)

  • Nasir Shafiq

    (Department of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Malaysia)

  • Dorin Radu

    (Faculty of Civil Engineering, Transilvania University of Brasov, Turnului Street, 500152 Brasov, Romania)

  • Marijana Hadzima Nyarko

    (Faculty of Civil Engineering, Transilvania University of Brasov, Turnului Street, 500152 Brasov, Romania
    Faculty of Civil Engineering and Architecture Osijek, Josip Juraj Strossmayer University of Osijek, Vladimira Preloga 3, 31000 Osijek, Croatia)

  • Ahsan Waqar

    (Department of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Malaysia)

  • Hamad R. Almujibah

    (Department of Civil Engineering, College of Engineering, Taif University, Taif City 21974, Saudi Arabia)

  • Omrane Benjeddou

    (Department of Civil Engineering, College of Engineering, Prince Sattam bin Abdulaziz University, Alkharj 11942, Saudi Arabia)

Abstract

Concrete is a worldwide construction material, but it has inherent faults, such as a low tensile strength, when not reinforced with steel or other forms of reinforcement. Various innovative materials are being incorporated into concrete to minimise its drawbacks while concurrently improving its dependability and sustainability. This study addresses the research gap by exploring and enhancing the utilisation of glass fibre (GF) concerning its mechanical properties and reduction of embodied carbon. The most significant advantage of incorporating GF into concrete is its capacity to reduce the obstruction ratio, forming clusters, and subsequent material solidification. The study involved experiments wherein GF was incorporated into concrete in varying proportions of 0%, 0.5%, 0.75%, 1%, 1.25%, 1.50%, 1.75%, and 2% by weight. Mechanical tests and tests for durability were conducted, and Embodied carbon (EC) with eco-strength efficiency was also evaluated to assess the material’s sustainability. The investigation found that the optimal percentage of GF to be used in concrete is 1.25% by weight, which gives the optimum results for concrete’s mechanical strength and UPV. Adding 1.25% GF to the material results in increases of 11.76%, 17.63%, 17.73%, 5.72%, and 62.5% in C.S, STS, F.S, MoE, and impact energy, respectively. Concrete blended with 1.25% of GF has the optimum value of UPV. The carbon footprint associated with concrete positively correlates with the proportion of GF in its composition. The optimisation of GF in concrete is carried out by utilising the response surface methodology (RSM); equations generated through RSM enable the computation of the effects of incorporating GF in concrete.

Suggested Citation

  • Hammad Tahir & Muhammad Basit Khan & Nasir Shafiq & Dorin Radu & Marijana Hadzima Nyarko & Ahsan Waqar & Hamad R. Almujibah & Omrane Benjeddou, 2023. "Optimisation of Mechanical Characteristics of Alkali-Resistant Glass Fibre Concrete towards Sustainable Construction," Sustainability, MDPI, vol. 15(14), pages 1-25, July.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:11147-:d:1196081
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/14/11147/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/14/11147/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cheng, C.-L. & Shalabh, & Garg, G., 2014. "Coefficient of determination for multiple measurement error models," Journal of Multivariate Analysis, Elsevier, vol. 126(C), pages 137-152.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bresson Georges & Chaturvedi Anoop & Rahman Mohammad Arshad & Shalabh, 2021. "Seemingly unrelated regression with measurement error: estimation via Markov Chain Monte Carlo and mean field variational Bayes approximation," The International Journal of Biostatistics, De Gruyter, vol. 17(1), pages 75-97, May.
    2. Farzin Golzar & David Nilsson & Viktoria Martin, 2020. "Forecasting Wastewater Temperature Based on Artificial Neural Network (ANN) Technique and Monte Carlo Sensitivity Analysis," Sustainability, MDPI, vol. 12(16), pages 1-17, August.
    3. Tomasz Chrulski & Mariusz Łaciak, 2021. "Analysis of Natural Gas Consumption Interdependence for Polish Industrial Consumers on the Basis of an Econometric Model," Energies, MDPI, vol. 14(22), pages 1-26, November.
    4. Cheng, C.-L. & Shalabh, & Garg, G., 2016. "Goodness of fit in restricted measurement error models," Journal of Multivariate Analysis, Elsevier, vol. 145(C), pages 101-116.
    5. Fausto André Valenzuela-Domínguez & Luis Alfonso Santa Cruz & Enrique A. Enríquez-Velásquez & Luis C. Félix-Herrán & Victor H. Benitez & Jorge de-J. Lozoya-Santos & Ricardo A. Ramírez-Mendoza, 2021. "Solar Irradiation Evaluation through GIS Analysis Based on Grid Resolution and a Mathematical Model: A Case Study in Northeast Mexico," Energies, MDPI, vol. 14(19), pages 1-37, October.
    6. Muhammad Riaz Hasib Hossain & Muhammad Ashad Kabir, 2023. "Machine Learning Techniques for Estimating Soil Moisture from Smartphone Captured Images," Agriculture, MDPI, vol. 13(3), pages 1-25, February.
    7. Oana Vlăduţ & George Eduard Grigore & Dumitru Alexandru Bodislav & Gabriel Ilie Staicu & Raluca Iuliana Georgescu, 2024. "Analysing the Connection between Economic Growth, Conventional Energy, and Renewable Energy: A Comparative Analysis of the Caspian Countries," Energies, MDPI, vol. 17(1), pages 1-30, January.

    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:11147-:d:1196081. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.