Experimental investigations and GEP modelling of compressive strength of ferrosialate based geopolymer mortars

Reddy, Yeddula Bharath Simha; Karthiyaini, S.

doi:10.1016/j.conbuildmat.2019.117602

Cited by 37 publications

(17 citation statements)

References 36 publications

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“…Accordingly, in recent years, numerous mathematical predictions and optimisation models have been developed within the research community, including artificial neural networks (ANNs) [ 25 , 26 , 27 ], metaheuristic algorithms [ 28 , 29 ], genetic expression programming (GEP) [ 30 , 31 , 32 , 33 ], adaptive neuro-fuzzy inference systems (ANFIS) [ 34 , 35 , 36 ], and response surface methodology (RSM) [ 37 , 38 , 39 ]. Among them, RSM is one of the best statistical techniques used for data optimization [ 40 ].…”

Section: Introductionmentioning

confidence: 99%

Optimisation of GBFS, Fly Ash, and Nano-Silica Contents in Alkali-Activated Mortars

et al. 2021

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Although free-cement-based alkali-activated paste, mortar, and concrete have been recognised as sustainable and environmental-friendly materials, a considerable amount of effort is still being channeled to ascertain the best binary or ternary binders that would satisfy the requirements of strength and durability as well as environmental aspects. In this study, the mechanical properties of alkali-activated mortar (AAM) made with binary binders, involving fly ash (FA) and granulated blast-furnace slag (GBFS) as well as bottle glass waste nano-silica powder (BGWNP), were opti-mised using both experimentally and optimisation modelling through three scenarios. In the first scenario, the addition of BGWNP varied from 5% to 20%, while FA and GBFS were kept constant (30:70). In the second and third scenarios, BGWNP (5–20%) was added as the partial replacement of FA and GBFS, separately. The results show that the combination of binary binders (FA and GBFS) and BGWNP increased AAM’s strength compared to that of the control mixture for all scenarios. In addition, the findings also demonstrated that the replacement of FA by BGWNP was the most significant, while the effect of GBFS replacement by BGWNP was less significant. In particular, the highest improvement in compressive strength was recorded when FA, GBFS, and BGWNP were 61.6%, 30%, and 8.4%, respectively. Furthermore, the results of ANOVA (p values < 0.0001 and high F-values) as well as several statistical validation methods (R > 0.9, RAE < 0.1, RSE < 0.013, and RRSE < 0.116) confirmed that all the models were robust, reliable, and significant. Similarly, the data variation was found to be less than 5%, and the difference between the predicted R2 and adj. R2 was very small (<0.2), thus confirming that the proposed non-linear quadratic equations had the capability to predict for further observation. In conclusion, the use of BGWNP in AAM could act as a beneficial and sustainable strategy, not only to address environmental issues (e.g., landfill) but to also enhance strength properties.

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Section: Introductionmentioning

confidence: 99%

Optimisation of GBFS, Fly Ash, and Nano-Silica Contents in Alkali-Activated Mortars

et al. 2021

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“…Ten different sample compositions are categorized as low calcium RM collected from the literature [7,[10][11][12][13][14][15][16][17][18]. From a statistical point of view, the average can be taken as the mean or median value depending on the existence of outliers [19].…”

Section: Chemical Composition Of Red Mudmentioning

confidence: 99%

“…To obtain optimal compressive strength in red mud based geopolymers, the partial replacement can be controlled by ferrous ions [15] and sodium hydroxide concentration [35]. It is reported that the ferrous ions can only replace 25% of aluminium ions in the geopolymerization reaction.…”

Section: Compressive Strength Of Red Mud Based Geopolymer Mortarsmentioning

confidence: 99%

“…Therefore, the optimal compressive strength requires a lower concentration of sodium hydroxide in the alkali activator. Low calcium red mud has been utilized to replace metazeolite, fly ash and ground granulated blast furnace slag in geopolymer mortar production [11,13,15,17,18,35]. In the case of ground granulated blast furnace slag, the red mud is added without an alkali activator.…”

Section: Compressive Strength Of Red Mud Based Geopolymer Mortarsmentioning

confidence: 99%

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Properties of red-mud-based geopolymers in the light of their chemical composition

Khalaf

Kopecskó

2022

J. Phys.: Conf. Ser.

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Utilizing industrial waste materials such as red mud as alternatives to high emissions of CO2 materials such as Portland cement will help to produce integrated sustainable construction materials. Statistical analysis has been performed on the major oxides of red mud to understand the relationship between chemical composition and properties (e.g., workability, setting time, compressive strength, etc.) of red mud-based geopolymer composite. Therefore, red mud can be a suitable binder by blending with other geopolymer source materials to achieve the desired fresh and mechanical properties. Moreover, a proposed equation has been derived on the basis of the outcomes from the literature to determine the required extra water that can compensate for the workability loss due to red mud addition.

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“…Of these, 22 sets were considered for training, and the rest were used for testing. In the other recent study [33], GEP was utilized to predict the compressive strength of geopolymer mortars with ferrosialate basement. Two GEP models were proposed in this research that both have a good fit with real data.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Mechanical Properties of Normal Concrete Containing Nano-MgO under Freeze–Thaw Conditions by Evolutionary Intelligence

et al. 2021

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In this research, different amounts of nano-MgO were added to normal concrete samples, and the effect of these particles on the durability of the samples under freeze and thaw conditions was investigated. The compressive and tensile strength as well as the permeability of concrete containing nanoparticles were measured and compared to those of plain samples (without nanoparticles). The age of concrete samples, percentage of nanoparticles, and water-to-binder ratio are the variables of the current research. Based on the results, the addition of 1% nano-MgO to the normal concrete with a water-to-binder ratio of 0.44 can reduce the permeability up to 63% and improve the compressive and tensile strengths by 9.12% and 10.6%, respectively. Gene Expression Programming (GEP) is applied, and three formulations are derived for the prediction of mechanical properties of concrete containing nano-MgO. In this method, 80% of the dataset is used randomly for the training process and 20% is utilized for testing the formulation. The results obtained by GEP showed acceptable accuracy.

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Experimental investigations and GEP modelling of compressive strength of ferrosialate based geopolymer mortars

Cited by 37 publications

References 36 publications

Optimisation of GBFS, Fly Ash, and Nano-Silica Contents in Alkali-Activated Mortars

Optimisation of GBFS, Fly Ash, and Nano-Silica Contents in Alkali-Activated Mortars

Properties of red-mud-based geopolymers in the light of their chemical composition

Evaluation of the Mechanical Properties of Normal Concrete Containing Nano-MgO under Freeze–Thaw Conditions by Evolutionary Intelligence

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