Properties of fly ash-based lightweight geopolymer concrete prepared using pumice and expanded perlite as aggregates

Top, Soner; Vapur, Hüseyin; Altıner, Mahmut; Kaya, Doğan; Ekicibil, Ahmet

doi:10.1016/j.molstruc.2019.127236

Cited by 68 publications

(25 citation statements)

References 45 publications

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“…Similar to vermiculite addition, the expanded perlite (10 %) combined with 20 % of natural pozzolan improved the mechanical properties of concrete, while 10 % of pozzolan and 10 % of the perlite led to a reduction in the rate of NaCl corrosion [28]. Lightweight geopolymer concretes with fly ash, pumice and perlite produced compressive strengths up to 10-50 MPa as their unit weights changed between 1250 and 1700 kg/m 3 [29]. Thermal conductivity and the over-all durability of concretes were substantially improved with the use of perlite [30][31][32].…”

Section: Introductionmentioning

confidence: 98%

Performances of vermiculite and perlite based thermal insulation lightweight concretes

et al. 2020

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This experimental study was conducted with an aim to investigate the effect of the elevated temperature on the mineral phase composition, microstructure and mechanical properties of the thermal insulation lightweight concretes. The first group of experimental concretes was based on the expanded vermiculite and expanded perlite used as lightweight aggregates (in 65 wt%) in combination with either ordinary Portland cement or refractory calcium aluminate cement. The mix-design of the second group of concretes comprised standard quartz aggregate, vermiculite or perlite as aggregate replacement (25 wt%) and binder (PC or CAC). A total of 10 concrete mix-designs were fabricated in form of 40?40?160 mm samples which were submitted to heat-treatment at 400?, 600?, 800? and 1000?C upon standard 28-days period of curing and hardening. The changes in crystallinity and mineral phase composition induced by temperature were monitored by X-ray diffraction technique. Microstructural visualizations of the non-fired and fired concrete samples were conducted by scanning electron microscopy accompanied with EDX analysis. The results indicated that despite the decrease in compressive strengths upon firing, investigated lightweight concretes can be categorized both as thermal insulators and structural materials.

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Section: Introductionmentioning

confidence: 98%

Performances of vermiculite and perlite based thermal insulation lightweight concretes

et al. 2020

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“…This is primarily due to the usage of different precursor materials. Different industrial waste materials such as glass granulated blast furnace slag (GGBFS) [ 2 , 3 , 4 , 5 , 6 , 7 , 8 ], Fly Ash (FA) [ 9 , 10 , 11 , 12 , 13 ], and metakaolin (MT) [ 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 ] have been used as source materials for developing geopolymer concrete, as reported by the researcher community. Geopolymer concretes are usually less workable, so much so that a nominal 90 mm slump is considered as necessary [ 24 ].…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, surface cracks are developed at elevated temperatures due to the movement of water from the matrix to the surface, resulting in increased water absorption [ 23 ]. The characteristics of FA based geopolymer primarily depend on the purity of raw materials and the concentration of alkali solutions, the physiochemical properties of fly ash, alkali activators, and curing conditions [ 10 , 13 ]. Different gels can be formed by varying the Si/Al ratio and alkali solutions, influencing the final geopolymer structure and controlling the ionic transport.…”

Section: Introductionmentioning

confidence: 99%

Bayesian Regularized Artificial Neural Network Model to Predict Strength Characteristics of Fly-Ash and Bottom-Ash Based Geopolymer Concrete

et al. 2021

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Geopolymer concrete (GPC) offers a potential solution for sustainable construction by utilizing waste materials. However, the production and testing procedures for GPC are quite cumbersome and expensive, which can slow down the development of mix design and the implementation of GPC. The basic characteristics of GPC depend on numerous factors such as type of precursor material, type of alkali activators and their concentration, and liquid to solid (precursor material) ratio. To optimize time and cost, Artificial Neural Network (ANN) can be a lucrative technique for exploring and predicting GPC characteristics. In this study, the compressive strength of fly-ash based GPC with bottom ash as a replacement of fine aggregates, as well as fly ash, is predicted using a machine learning-based ANN model. The data inputs are taken from the literature as well as in-house lab scale testing of GPC. The specifications of GPC specimens act as input features of the ANN model to predict compressive strength as the output, while minimizing error. Fourteen ANN models are designed which differ in backpropagation training algorithm, number of hidden layers, and neurons in each layer. The performance analysis and comparison of these models in terms of mean squared error (MSE) and coefficient of correlation (R) resulted in a Bayesian regularized ANN (BRANN) model for effective prediction of compressive strength of fly-ash and bottom-ash based geopolymer concrete.

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“…In addition, the geopolymer also has favorable re-resistance and non-smoke characteristics [11,12], hence this feature can be used to make environmentally friendly reproof board. In the geopolymerization, the chemical reaction of an aluminosilicate with silicates under highly alkaline conditions [13]. By the sodium hydroxide (NaOH) and sodium metasilicate solutions, the rapidly dissolving aluminosilicate released [SiO 4 ] − and [AlO 4 ] − into the liquid, and each tetrahedron shared its oxygen atoms with the precursor substance of the polymer [6,14] to generate an amorphous threedimensional network structure.…”

Section: Introductionmentioning

confidence: 99%

Main Factors Affecting Mechanical Characteristics of Silicon Carbide Sludge-Based Geopolymer Revealed by Experimental Design and Associated Statistical Analysis

Lin

et al. 2021

Preprint

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In recent years, many researches have been analyzed on the subject of geopolymer materials. As far as we know, the design of experiments (DOE) methods had not been used for the analysis of geopolymer containing silicon carbide sludge (SCS) waste and metakaolin components. This study was used to quantify the effects the interaction between the constituent factors and macroscopic / microstructure properties of SCS-based geopolymers (SCSGPs), by the DOE methods. Compares the correlation between the factor parameters and physical properties, which were analyzed the microstructure analysis of SCSGPs. The results of statistical analysis showed that the influencing factors of compressive strength of SCSGPs were mainly Na / Si mole ratio (NSR), Na / Al mole ratio (NAR), followed by dissolution rate of Al (DRA). In the regression curve analysis results, when the SCS replacement levels of 20%, the coefficient of b was the most influential, because the synergistic effect between metakaolin (MK) and SCS. In this study, the multivariate adaptive regression splines model provided a valid reference for the application of and future improvements in SCSGPs.

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Properties of fly ash-based lightweight geopolymer concrete prepared using pumice and expanded perlite as aggregates

Cited by 68 publications

References 45 publications

Performances of vermiculite and perlite based thermal insulation lightweight concretes

Performances of vermiculite and perlite based thermal insulation lightweight concretes

Bayesian Regularized Artificial Neural Network Model to Predict Strength Characteristics of Fly-Ash and Bottom-Ash Based Geopolymer Concrete

Main Factors Affecting Mechanical Characteristics of Silicon Carbide Sludge-Based Geopolymer Revealed by Experimental Design and Associated Statistical Analysis

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