Optimization of alkali-activated ladle slag composites mix design using taguchi-based TOPSIS method

Najm, Omar; El-Hassan, Hilal; El-Dieb, Amr S.

doi:10.1016/j.conbuildmat.2022.126946

Cited by 41 publications

(21 citation statements)

References 44 publications

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“…decrease in the dissolution rate of BFS, as noted elsewhere [53]. This phenomenon was also reported in alkali-activated ladle slag mortars [34]. Yet, it is worth noting that DDF replacement had a predominant effect on the workability and setting time compared to AAS/B, SS/SH, and SH molarity, evidenced by its significantly higher contribution shown in the ANOVA results later.…”

Section: Flowability and Setting Timesupporting

confidence: 73%

“…While the Taguchi method is reliable in seeking a single optimum performance, it lacks the ability to simultaneously consider various performance characteristics. Hence, multicriteria optimization methods, including ordering preferences by similarity to the ideal solution (TOPSIS), have been frequently adopted in research due to their potential to determine the optimum design conditions [33,34]. Such methods have been effectively utilized to seek the optimum mix designs of cement-based materials, alkali-activated concrete, and other engineering materials application [34,35].…”

Section: Introductionmentioning

confidence: 99%

“…Hence, multicriteria optimization methods, including ordering preferences by similarity to the ideal solution (TOPSIS), have been frequently adopted in research due to their potential to determine the optimum design conditions [33,34]. Such methods have been effectively utilized to seek the optimum mix designs of cement-based materials, alkali-activated concrete, and other engineering materials application [34,35]. Nevertheless, no study has optimized the mixture proportions of DDF-BFS blended geopolymer mortar for superior fresh and hardened properties.…”

Section: Introductionmentioning

confidence: 99%

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Development and Optimization of Geopolymers Made with Desert Dune Sand and Blast Furnace Slag

et al. 2022

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This study assesses the effect of mix design parameters on the fresh and hardened properties, cost, and carbon footprint of geopolymer mortar made with desert dune fines (DDF) and blast furnace slag (BFS). Taguchi method was employed in designing the experiments. Four factors were considered, each having three levels, leading to a total of nine geopolymer mortar mixes. The factors comprised the DDF replacement percentage, alkali-activator solution to binder ratio (AAS/B), sodium silicate-to-sodium hydroxide ratio (SS/SH), and sodium hydroxide (SH) molarity. Ten performance criteria were evaluated, including the flowability, final setting time, hardened density, 1, 7, and 28-day compressive strengths, water absorption, sorptivity, cost, and carbon footprint. ANOVA was carried out to estimate the contribution of each factor towards the response criteria. Further, TOPSIS analysis was utilized to optimize the mixture proportions of DDF-BFS blended geopolymer mortar. Experimental results showed that up to 25% DDF replacement enhanced the density, strength, and durability of the geopolymers with minor impact on the flowability and setting time. Higher replacement percentages had a detrimental impact on the performance but could still be utilized in specific mortar construction applications. The other factors had more limited contributions to the performance, evidenced by the ANOVA. TOPSIS method revealed the optimum mix to be made with DDF replacement of 25%, AAS/B of 0.5, SS/SH of 1.5, and SH molarity of 10 M. Different multivariable regression models were also developed to predict the fresh and hardened properties of the DDF-BFS geopolymer mortars using the mix design parameters.

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Section: Flowability and Setting Timesupporting

confidence: 73%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Development and Optimization of Geopolymers Made with Desert Dune Sand and Blast Furnace Slag

et al. 2022

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Section: Test Methodsmentioning

confidence: 99%

“…The preliminary test results showed limited change in the strength between 7 and 28 days; therefore, the analysis was carried out on 7-day fcu only. Other past work had also implemented this approach [47][48][49]. The permeability of the PGC was evaluated using the falling head permeability test, as per the recommendation of ACI 522R-10 [45].…”

Section: Test Methodsmentioning

confidence: 99%

Optimization of Pervious Geopolymer Concrete Using TOPSIS-Based Taguchi Method

et al. 2022

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

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Ladle Furnace Slag: Synthesis, Properties, and Applications

Jacob

2023

ChemBioEng Reviews

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Ladle slag is a byproduct formed during the ladle refining stage of steel making. It is a dusty material that has been considered industrial waste. Technical advancements towards a sustainable industry led to the development of different applications for ladle slag. Depending on the processing methods during the steel slag production and the weathering of the slag post‐production, the elemental composition of the steel slag largely varies. Owing to this, its characteristics cannot be generalized and specific applications depending on the sources are developed. It is generally used in construction materials, soil rejuvenation, and CO2 capture. This paper reviews the production process, the mineralogical and morphological properties, stabilization techniques, and the applications of ladle furnace (LF) slag. One of the prime focuses of waste remediation and sustainable industry is to find meaningful ways to turn waste into products. In this respect, a comprehensive review of the properties of LF slag and its current application will help provide a framework for the development of future sustainability goals. With increased slag usage, the ladle refining process of steelmaking can be turned into a more carbon‐neutral process.

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Optimization of alkali-activated ladle slag composites mix design using taguchi-based TOPSIS method

Cited by 41 publications

References 44 publications

Development and Optimization of Geopolymers Made with Desert Dune Sand and Blast Furnace Slag

Development and Optimization of Geopolymers Made with Desert Dune Sand and Blast Furnace Slag

Optimization of Pervious Geopolymer Concrete Using TOPSIS-Based Taguchi Method

Ladle Furnace Slag: Synthesis, Properties, and Applications

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