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1716647PublishedVol 9 · Issue 10

Development of Optimum Mix Design for Local Metakaolin Based Geopolymer Concrete

Usman Abdu Abubakar Abbagana Mohammed

Subject area: Science,Engineering and Technology  ·  Area of research: Construction Material/Civil Engineering

DOI: https://doi.org/10.64388/IREV9I10-1716647

Abstract

Researchers all over the globe are still working to arrive at an intentionally standard mix design for geopolymer concrete (Singh and Kapoor, 2022). To enhance the compressive strength of geopolymer concrete, this study investigates the impact of the metakaolin content, liquid-to-solid (L/S) ratio and the sodium silicate-to-sodium hydroxide (SS/SH) ratio. 20 sets of experiments were designed and tested for the compressive strength based on the response surface methodology technique. The optimal parameters were obtained via modeling of the 3 factors (metakaolin content, L/S ratio and SS/SH ratio) and 3 levels of compressive strength (3 day, 7 day and 28 day). The optimized results showed that the highest compressive strengths of the geopolymer concrete are 16.9N/mm2 for 3 day, 30.3N/mm2 for 7 day and 44.1N/mm2 for 28 day curing when the three optimized factors are 420 grams for metakaolin content, 0.8 for L/S ratio and 1.7 for SS/SH ratio. Finally, the optimized factors (A) of 420 grams and factor C of 1.7 are higher by 5% and 13% than the actual test data of 400 grams and 1.5 for factors A and C respectively. It can then be concluded that the optimized factors setting influences the responses more than the actual test data.

Keywords

Optimum, Mix Design, Metakaolin and Geopolymer

How to cite this paper

Usman Abdu Abubakar, Abbagana Mohammed "Development of Optimum Mix Design for Local Metakaolin Based Geopolymer Concrete" Iconic Research And Engineering Journals Volume 9 Issue 10 2026 Page 2441-2451 https://doi.org/10.64388/IREV9I10-1716647
Usman Abdu Abubakar, Abbagana Mohammed "Development of Optimum Mix Design for Local Metakaolin Based Geopolymer Concrete" Iconic Research And Engineering Journals, vol. 9, no. 10, Apr. 2026, doi: https://doi.org/10.64388/IREV9I10-1716647
Usman Abdu Abubakar, Abbagana Mohammed (2026). Development of Optimum Mix Design for Local Metakaolin Based Geopolymer Concrete. Iconic Research And Engineering Journals, 9(10). doi: https://doi.org/10.64388/IREV9I10-1716647
Usman Abdu Abubakar, Abbagana Mohammed "Development of Optimum Mix Design for Local Metakaolin Based Geopolymer Concrete" Iconic Research And Engineering Journals, vol. 9, no. 10, Apr. 2026. Crossref, https://doi.org/10.64388/IREV9I10-1716647
@article{1716647,
      author = {Usman Abdu Abubakar, Abbagana Mohammed},
      title = {Development of Optimum Mix Design for Local Metakaolin Based Geopolymer Concrete},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {10},
      pages = {2441-2451},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1716647.pdf},
      abstract = {Researchers all over the globe are still working to arrive at an intentionally standard mix design for geopolymer concrete (Singh and Kapoor, 2022). To enhance the compressive strength of geopolymer concrete, this study investigates the impact of the metakaolin content, liquid-to-solid (L/S) ratio and the sodium silicate-to-sodium hydroxide (SS/SH) ratio. 20 sets of experiments were designed and tested for the compressive strength based on the response surface methodology technique. The optimal parameters were obtained via modeling of the 3 factors (metakaolin content, L/S ratio and SS/SH ratio) and 3 levels of compressive strength (3 day, 7 day and 28 day). The optimized results showed that the highest compressive strengths of the geopolymer concrete are 16.9N/mm2 for 3 day, 30.3N/mm2 for 7 day and 44.1N/mm2 for 28 day curing when the three optimized factors are 420 grams for metakaolin content, 0.8 for L/S ratio and 1.7 for SS/SH ratio. Finally, the optimized factors (A) of 420 grams and factor C of 1.7 are higher by 5% and 13% than the actual test data of 400 grams and 1.5 for factors A and C respectively. It can then be concluded that the optimized factors setting influences the responses more than the actual test data.},
      keywords = {Optimum, Mix Design, Metakaolin and Geopolymer},
      month = {April},
      doi = {https://doi.org/10.64388/IREV9I10-1716647}
  }