Enhancing multi-objective mix design for GGBS-based geopolymer concrete with natural mineral blends under ambient curing: A Taguchi-Grey relational optimization

• DOI: 10.1016/j.asej.2024.102708
• Publication Date: 2024-03-05T13:12:21Z
• Authors: Afsar Ali; Qaiser uz Zaman Khan; Syed Saqib Mehboob; Aisha Tayyab; Khizar Hayyat; Diyar Khan; Inzimam Ul Haq; Qadir Bux alias I...
• Keywords: Grey relational analysis; Geopolymer cement

Rising populations and industrial expansion necessitate sustainable alternatives to conventional cement-based concrete. Geopolymers, with their impressive mechanical properties, eco-friendliness, potential for waste utilization, offer a promising solution. Yet, concerns like rapid setting low workability limit widespread adoption. This study addresses these challenges by optimizing geopolymer concrete incorporating ground granulated blast furnace slag (GGBS) blended bentonite dolomite minerals. Employing the Taguchi method, we optimized mix design considering key factors binder content, mineral replacements, alkaline-to-binder ratio, solution ratios. Grey-Relational Analysis identified optimal 10 % replacement, 0.55 12 M NaOH solution, 425 kg/m3 cementing materials. exhibited significantly improved times, enhanced workability, highest compressive strength among all tested mixtures. Experimental validation confirms its effectiveness, highlighting as alternative. Importantly, this research explores GGBS replacement commonly used Fly Ash, further advancing construction practices.