Influence of rice husk ash on mechanical properties and fire resistance of recycled aggregate high-calcium fly ash geopolymer concrete

Nuaklong, Peem; Jongvivatsakul, Pitcha; Pothisiri, Thanyawat; Sata, Vanchai; Chindaprasirt, Prinya

doi:10.1016/j.jclepro.2019.119797

Cited by 256 publications

(81 citation statements)

References 53 publications

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“…The utilization geopolymer concrete made of FA-like waste, is on the rise for the last two decades as lesser amounts of cement are used in geopolymer concrete (GPC) [ 22 , 23 , 24 , 25 , 26 ]. FA has been used effectively in the construction industry but its application is still limited due to the anomalous behavior of FA [ 27 ].…”

Section: Introductionmentioning

confidence: 99%

Application of Gene Expression Programming (GEP) for the Prediction of Compressive Strength of Geopolymer Concrete

et al. 2021

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For the production of geopolymer concrete (GPC), fly-ash (FA) like waste material has been effectively utilized by various researchers. In this paper, the soft computing techniques known as gene expression programming (GEP) are executed to deliver an empirical equation to estimate the compressive strength of GPC made by employing FA. To build a model, a consistent, extensive and reliable data base is compiled through a detailed review of the published research. The compiled data set is comprised of 298 experimental results. The utmost dominant parameters are counted as explanatory variables, in other words, the extra water added as percent FA (), the percentage of plasticizer (), the initial curing temperature (), the age of the specimen (), the curing duration (), the fine aggregate to total aggregate ratio (), the percentage of total aggregate by volume (), the percent SiO2 solids to water ratio () in sodium silicate (Na2SiO3) solution, the NaOH solution molarity (), the activator or alkali to FA ratio (), the sodium oxide (Na2O) to water ratio () for preparing Na2SiO3 solution, and the Na2SiO3 to NaOH ratio (). A GEP empirical equation is proposed to estimate the of GPC made with FA. The accuracy, generalization, and prediction capability of the proposed model was evaluated by performing parametric analysis, applying statistical checks, and then compared with non-linear and linear regression equations.

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Section: Introductionmentioning

confidence: 99%

Application of Gene Expression Programming (GEP) for the Prediction of Compressive Strength of Geopolymer Concrete

et al. 2021

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“…Nuaklong et al [6] researched the use of rice husk ash (RHA) as a functional filler in FGCs. RHA is a by-product obtained by the thermal processing of cereals in agri-food plants.…”

Section: Hybrid Geopolymer Cements (Hgcs)mentioning

confidence: 99%

“…The process, commonly defined as "geopolymerization", produces a three-dimensional (3D) inorganic network with an amorphous/semi-crystalline microstructure. Unlike the ordinary PC, in which calcium silicate hydrates (C-S-H) gel is the main binding compound, GC utilizes the polycondensation of Silica (SiO 2 ) and alumina (Al 2 O 3 ) sources and a high-alkali environment to obtain structural strength [5,6]. Recent studies confirm the remarkable functionality of geopolymer technology in terms of eco-sustainability and engineering properties.…”

Section: Introductionmentioning

confidence: 99%

Recent Advances in Geopolymer Technology. A Potential Eco-Friendly Solution in the Construction Materials Industry: A Review

2021

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In the last ten years, the Portland cement industry has received wide criticism due to its related high embodied energy and carbon dioxide footprint. Recently, numerous “clean” strategies and solutions were developed. Among these, geopolymer technology is gaining growing interest as a functional way to design more eco-friendly construction materials and for waste management issues suffered by various industries. Previous research has highlighted the attractive engineering properties of geopolymeric materials, especially in terms of mechanical properties and durability, resulting in even higher performance than ordinary concrete. This review provides a comprehensive analysis of current state-of-the-art and implementations on geopolymer concrete materials, investigating how the key process factors (such as raw materials, synthesis regime, alkali concentration, water dosage, and reinforcement fillers) affect the rheological, microstructural, durability, and mechanical properties. Finally, the paper elucidates some noteworthy aspects for future research development: innovative geopolymer-based formulations (including alkali-activated blends for additive manufacturing and thermo-acoustic insulating cellular compounds), concrete applications successfully scaled in the civil-architectural fields, and the perspective directions of geopolymer technology in terms of commercialization and large-scale diffusion.

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“…Nuaklong et al [ 19 ] investigated the compressive strength and fire-resistance of high calcium fly ash alkali-activated concrete blended with rice husk ash. The results showed that the 28-day compressive strengths of geopolymer ranged from 36.0 to 38.1 MPa due to an improved microstructure and denser matrix.…”

Section: Introductionmentioning

confidence: 99%

Novel Analytical Method for Mix Design and Performance Prediction of High Calcium Fly Ash Geopolymer Concrete

et al. 2021

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Despite extensive in-depth research into high calcium fly ash geopolymer concretes and a number of proposed methods to calculate the mix proportions, no universally applicable method to determine the mix proportions has been developed. This paper uses an artificial neural network (ANN) machine learning toolbox in a MATLAB programming environment together with a Bayesian regularization algorithm, the Levenberg-Marquardt algorithm and a scaled conjugate gradient algorithm to attain a specified target compressive strength at 28 days. The relationship between the four key parameters, namely water/solid ratio, alkaline activator/binder ratio, Na2SiO3/NaOH ratio and NaOH molarity, and the compressive strength of geopolymer concrete is determined. The geopolymer concrete mix proportions based on the ANN algorithm model and contour plots developed were experimentally validated. Thus, the proposed method can be used to determine mix designs for high calcium fly ash geopolymer concrete in the range 25–45 MPa at 28 days. In addition, the design equations developed using the statistical regression model provide an insight to predict tensile strength and elastic modulus for a given compressive strength.

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Influence of rice husk ash on mechanical properties and fire resistance of recycled aggregate high-calcium fly ash geopolymer concrete

Cited by 256 publications

References 53 publications

Application of Gene Expression Programming (GEP) for the Prediction of Compressive Strength of Geopolymer Concrete

Application of Gene Expression Programming (GEP) for the Prediction of Compressive Strength of Geopolymer Concrete

Recent Advances in Geopolymer Technology. A Potential Eco-Friendly Solution in the Construction Materials Industry: A Review

Novel Analytical Method for Mix Design and Performance Prediction of High Calcium Fly Ash Geopolymer Concrete

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