Recycling combustion ash for sustainable cement production: A critical review with data-mining and time-series predictive models

Wang, Yu; Shao, Yang; Matovic, Miodrag Darko; Whalen, Joann K.

doi:10.1016/j.conbuildmat.2016.07.031

Cited by 31 publications

(13 citation statements)

References 148 publications

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“…Major components in Portland cement are listed in Table 1 (Baghchesaraei and Baghchesaraei, 2012;Chen, 2006). Portland cement contains four cementitious complexes, including tricalcium silicate (C 3 S), dicalcium silicate (C 2 S), tricalcium aluminate (C 3 A) and tetracalcium aluminoferrite (C 4 AF) (Wang et al, 2016). The affluence of components in Portland cement ranks as CaO > SiO 2 > Al 2 O 3 , Fe 2 O 3 > MgO, TiO 2 , SO 3 , Na 2 O, K 2 O, and etc.…”

Section: Chemistry and Performance Of Portland Cementmentioning

confidence: 99%

“…Their detailed influences will be further addressed in the paper where second materials were reviewed for cement production (Chapter 3). Pertaining to fundamentals for Portland cement, interaction during hydration can be simplified with individual chemical reaction with respect to the major component as shown in the following (Wang et al, 2016), where the (CaO) x •(SiO 2 ) y • (H 2 O) z (C-S-H) complex is the key hydration product that contribute to the strength of cementitious products.…”

Section: Chemistry and Performance Of Portland Cementmentioning

confidence: 99%

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Environmental perspectives of recycling various combustion ashes in cement production – A review

2018

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Section: Chemistry and Performance Of Portland Cementmentioning

confidence: 99%

Section: Chemistry and Performance Of Portland Cementmentioning

confidence: 99%

Environmental perspectives of recycling various combustion ashes in cement production – A review

2018

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“…The concrete designed using this algorithm had small cement and water content, more excellent durability, and higher economic and ecological benefits. Qi and Fourier used the neural network and particle swarm optimization algorithm to predict the unconfined compressive strength of cement paste filling [31], and the results indicated that the optimal artificial neural network model was highly accurate for the prediction of cemented paste backfill strength. Jian and Roy investigated the debonding behavior of high-performance fiber concrete and traditional concrete under a direct shear load and established a robust machine learning model to calculate the shear debonding strength of the concrete with influence parameters [32], which should corroborate the validity of the model in describing the debonding response of the concrete.…”

Section: Introductionmentioning

confidence: 99%

Compressive Strength Prediction of PVA Fiber-Reinforced Cementitious Composites Containing Nano-SiO2 Using BP Neural Network

et al. 2020

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In this study, a method to optimize the mixing proportion of polyvinyl alcohol (PVA) fiber-reinforced cementitious composites and improve its compressive strength based on the Levenberg-Marquardt backpropagation (BP) neural network algorithm and genetic algorithm is proposed by adopting a three-layer neural network (TLNN) as a model and the genetic algorithm as an optimization tool. A TLNN was established to implement the complicated nonlinear relationship between the input (factors affecting the compressive strength of cementitious composite) and output (compressive strength). An orthogonal experiment was conducted to optimize the parameters of the BP neural network. Subsequently, the optimal BP neural network model was obtained. The genetic algorithm was used to obtain the optimum mix proportion of the cementitious composite. The optimization results were predicted by the trained neural network and verified. Mathematical calculations indicated that the BP neural network can precisely and practically demonstrate the nonlinear relationship between the cementitious composite and its mixture proportion and predict the compressive strength. The optimal mixing proportion of the PVA fiber-reinforced cementitious composites containing nano-SiO2 was obtained. The results indicate that the method used in this study can effectively predict and optimize the compressive strength of PVA fiber-reinforced cementitious composites containing nano-SiO2.

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“…Cement substitution by industrial by-products or wastes has become a critical issue under a circular economy approach [2]. Some of the cement substitutes employed or under study are combustion ash [3], silica fume [4], glass waste [5], spent fluid catalytic cracking (FCC) catalyst [6] and blast furnace slag (BFS) [7].…”

Section: Introductionmentioning

confidence: 99%

Synthetic Slag Production Method Based on a Solid Waste Mix Vitrification for the Manufacturing of Slag-Cement

et al. 2019

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Herein an innovative process to develop a potential vitreous material with cementing properties is proposed. This process paves a production path through melting industrial waste and subsequently cooling the casting in water. The idea erases the need to reduce the environmental impact of the cement industry in terms of natural resources consumption as well as the re-utilization of abandoned wastes from other industries. The recycled industrial wastes were selected according to the amount of waste produced in the industrial field and its suitable chemical composition, such as construction and demolition waste and/or shells from shellfish. As a main result, the mechanical properties showed by our novel material were worse than those reported by blast furnace slag (25–28 MPa for two different proportions) for seven days and better (43–52 MPa for two different proportions) for 28 days. The rest of the properties evaluated were in agreement with the standards’ requirements. Hence, this novel process would help to minimize the environmental impact of these wastes at the same time that their use in the cement industry would reduce the consumption of raw materials.

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Recycling combustion ash for sustainable cement production: A critical review with data-mining and time-series predictive models

Cited by 31 publications

References 148 publications

Environmental perspectives of recycling various combustion ashes in cement production – A review

Environmental perspectives of recycling various combustion ashes in cement production – A review

Compressive Strength Prediction of PVA Fiber-Reinforced Cementitious Composites Containing Nano-SiO2 Using BP Neural Network

Synthetic Slag Production Method Based on a Solid Waste Mix Vitrification for the Manufacturing of Slag-Cement

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