Optimization of Pervious Geopolymer Concrete Using TOPSIS-Based Taguchi Method

This paper evaluates the effect of mix design parameters on mechanical, hydraulic, and durability properties pervious geopolymer concrete (PGC) made with a 3:1 blend granulated blast furnace slag (GBFS) fly ash (FA). A total nine PGC mixtures were designed using Taguchi method, considering four factors, each at three levels, namely, binder content, dune sand addition, alkaline-activator solution-to-binder ratio (AAS/B), sodium hydroxide (SH) molarity. The quality criteria compressive strength, permeability, abrasion resistance. TOPSIS methods adopted to determine signal-to-noise (S/N) ratios optimize mixture proportions for superior performance. optimum scenarios strength resistance highest weights was composed content 500 kg/m3, addition 20%, AAS/B 0.60, SH molarity 12 M. Meanwhile, permeability-dominant scenario included 400 kg/m3 0% 0.60 AAS/B, M For balanced performance (i.e., equal responses), similar permeability exception 10% addition. An ANOVA showed that had contribution toward all criteria. Multivariable regression models established predict factors. Experimental research findings serve as guide optimizing production while conducting minimal experiments.