Enhancing multi-objective mix design for GGBS-based geopolymer concrete with natural mineral blends under ambient curing: A Taguchi-Grey relational optimization
Rising populations and industrial expansion necessitate sustainable alternatives to conventional cement-based concrete. Geopolymers, with their impressive mechanical properties, eco-friendliness, and potential for waste utilization, offer a promising solution. Yet, concerns like rapid setting and lo...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-05-01
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| Series: | Ain Shams Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447924000832 |
| _version_ | 1797238006808051712 |
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| author | Afsar Ali Qaiser uz Zaman Khan Syed Saqib Mehboob Aisha Tayyab Khizar Hayyat Diyar Khan Inzimam Ul Haq Qadir Bux alias Imran Latif Qureshi |
| author_facet | Afsar Ali Qaiser uz Zaman Khan Syed Saqib Mehboob Aisha Tayyab Khizar Hayyat Diyar Khan Inzimam Ul Haq Qadir Bux alias Imran Latif Qureshi |
| author_sort | Afsar Ali |
| collection | DOAJ |
| description | Rising populations and industrial expansion necessitate sustainable alternatives to conventional cement-based concrete. Geopolymers, with their impressive mechanical properties, eco-friendliness, and potential for waste utilization, offer a promising solution. Yet, concerns like rapid setting and low workability limit their widespread adoption. This study addresses these challenges by optimizing a geopolymer concrete incorporating ground granulated blast furnace slag (GGBS) blended with bentonite and dolomite minerals. Employing the Taguchi method, we optimized the mix design considering key factors like binder content, mineral replacements, alkaline-to-binder ratio, and solution ratios. Grey-Relational Analysis identified the optimal mix with 10 % bentonite and dolomite replacement, a 0.55 alkaline-to-binder ratio, 12 M NaOH solution, and 425 kg/m3 cementing materials. This optimized mix exhibited significantly improved setting times, enhanced workability, and the highest compressive strength among all tested mixtures. Experimental validation confirms its effectiveness, highlighting its potential as a sustainable alternative. Importantly, this research explores GGBS as a replacement for commonly used Fly Ash, further advancing sustainable construction practices. |
| first_indexed | 2024-04-24T17:28:47Z |
| format | Article |
| id | doaj.art-01ac87605ebe4d48bb2a609595597bec |
| institution | Directory Open Access Journal |
| issn | 2090-4479 |
| language | English |
| last_indexed | 2024-04-24T17:28:47Z |
| publishDate | 2024-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ain Shams Engineering Journal |
| spelling | doaj.art-01ac87605ebe4d48bb2a609595597bec2024-03-28T06:37:42ZengElsevierAin Shams Engineering Journal2090-44792024-05-01155102708Enhancing multi-objective mix design for GGBS-based geopolymer concrete with natural mineral blends under ambient curing: A Taguchi-Grey relational optimizationAfsar Ali0Qaiser uz Zaman Khan1Syed Saqib Mehboob2Aisha Tayyab3Khizar Hayyat4Diyar Khan5Inzimam Ul Haq6Qadir Bux alias Imran Latif Qureshi7Department of Civil Engineering, University of Engineering and Technology, Taxila, PakistanDepartment of Civil Engineering, University of Engineering and Technology, Taxila, PakistanDepartment of Civil Engineering, University of Engineering and Technology, Taxila, Pakistan; Corresponding authors.Department of Industrial and Manufacturing Engineering, University of Engineering and Technology, Taxila, PakistanDepartment of Civil Engineering, University of Engineering and Technology, Taxila, PakistanDoctoral School, Silesian University of Technology, Akademicka 2a, 44-100 Gliwice, Poland.; Corresponding authors.Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of KoreaDepartment of Civil and Environmental Engineering, College of Engineering and Architecture, University of Nizwa, Birkat-al-Mouz, 616, Nizwa, Oman; Corresponding authors.Rising populations and industrial expansion necessitate sustainable alternatives to conventional cement-based concrete. Geopolymers, with their impressive mechanical properties, eco-friendliness, and potential for waste utilization, offer a promising solution. Yet, concerns like rapid setting and low workability limit their widespread adoption. This study addresses these challenges by optimizing a geopolymer concrete incorporating ground granulated blast furnace slag (GGBS) blended with bentonite and dolomite minerals. Employing the Taguchi method, we optimized the mix design considering key factors like binder content, mineral replacements, alkaline-to-binder ratio, and solution ratios. Grey-Relational Analysis identified the optimal mix with 10 % bentonite and dolomite replacement, a 0.55 alkaline-to-binder ratio, 12 M NaOH solution, and 425 kg/m3 cementing materials. This optimized mix exhibited significantly improved setting times, enhanced workability, and the highest compressive strength among all tested mixtures. Experimental validation confirms its effectiveness, highlighting its potential as a sustainable alternative. Importantly, this research explores GGBS as a replacement for commonly used Fly Ash, further advancing sustainable construction practices.http://www.sciencedirect.com/science/article/pii/S2090447924000832Ground granulated blast furnace slagBentoniteDolomiteMolarityGeopolymer concreteTaguchi analysis |
| spellingShingle | Afsar Ali Qaiser uz Zaman Khan Syed Saqib Mehboob Aisha Tayyab Khizar Hayyat Diyar Khan Inzimam Ul Haq Qadir Bux alias Imran Latif Qureshi Enhancing multi-objective mix design for GGBS-based geopolymer concrete with natural mineral blends under ambient curing: A Taguchi-Grey relational optimization Ain Shams Engineering Journal Ground granulated blast furnace slag Bentonite Dolomite Molarity Geopolymer concrete Taguchi analysis |
| title | Enhancing multi-objective mix design for GGBS-based geopolymer concrete with natural mineral blends under ambient curing: A Taguchi-Grey relational optimization |
| title_full | Enhancing multi-objective mix design for GGBS-based geopolymer concrete with natural mineral blends under ambient curing: A Taguchi-Grey relational optimization |
| title_fullStr | Enhancing multi-objective mix design for GGBS-based geopolymer concrete with natural mineral blends under ambient curing: A Taguchi-Grey relational optimization |
| title_full_unstemmed | Enhancing multi-objective mix design for GGBS-based geopolymer concrete with natural mineral blends under ambient curing: A Taguchi-Grey relational optimization |
| title_short | Enhancing multi-objective mix design for GGBS-based geopolymer concrete with natural mineral blends under ambient curing: A Taguchi-Grey relational optimization |
| title_sort | enhancing multi objective mix design for ggbs based geopolymer concrete with natural mineral blends under ambient curing a taguchi grey relational optimization |
| topic | Ground granulated blast furnace slag Bentonite Dolomite Molarity Geopolymer concrete Taguchi analysis |
| url | http://www.sciencedirect.com/science/article/pii/S2090447924000832 |
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