Effect of sodium hydroxide dosage on strength development in cement-fly ash mortars: Experimental and ANN-based prediction

Fly ash, a by product from coal and biomass combustion in fossil-fuel power plants, is composed of fine particulate matter that can contribute to terrestrial and atmospheric pollution if not properly contained. In this study, we explored the use of an alkali activator in the production of fly ash-based concrete to contain fly ash particles. Fly ash was mixed with different concentrations of an alkaline activator (sodium hydroxide) for up to 28 days. We employed SEM images and laboratory tests supported by an Artificial Neural Network (ANN) to determine the properties and strength of concrete. Our findings reveal that sodium hydroxide at 5 and 6% optimized the strength of colloidal sand mixture and the precursor of concrete at 3 and 28 days, respectively. Fly ash content of 10% optimized concrete strength, while 20% and 30% fly ash contents at 3 and 28 days resulted in better cement strength compared to the control. Sodium hydroxide initially rapidly improved colloidal sand mixture strength but its influence tapered over time. Amorphous silica and alumina phases significantly affected the performance of ordinary fly ash alkali-activated mortar. ANN learning training data effectively assisted laboratory tests to determine the strength of concrete with a percent error of 10, demonstrating the potential of this approach in enhancing the understanding of concrete properties and strength development.

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Publication Details

Journal
PLoS ONE
Published
2026-01-21
DOI
https://doi.org/10.1371/journal.pone.0331706
Primary Topic
Concrete and Cement Materials Research
Type
article
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article

Effect of sodium hydroxide dosage on strength development in cement-fly ash mortars: Experimental and ANN-based prediction

Shu Cheng Tan, Fei Peng Liu, Ai Min Gong, Jian Xin Zhao et al.
PLoS ONE
Concrete and Cement Materials Research
article

Effect of sodium hydroxide dosage on strength development in cement-fly ash mortars: Experimental and ANN-based prediction

Shu Cheng Tan, Fei Peng Liu, Ai Min Gong, Jian Xin Zhao, Jing Xu
article en

Abstract

Fly ash, a by product from coal and biomass combustion in fossil-fuel power plants, is composed of fine particulate matter that can contribute to terrestrial and atmospheric pollution if not properly contained. In this study, we explored the use of an alkali activator in the production of fly ash-based concrete to contain fly ash particles. Fly ash was mixed with different concentrations of an alkaline activator (sodium hydroxide) for up to 28 days. We employed SEM images and laboratory tests supported by an Artificial Neural Network (ANN) to determine the properties and strength of concrete. Our findings reveal that sodium hydroxide at 5 and 6% optimized the strength of colloidal sand mixture and the precursor of concrete at 3 and 28 days, respectively. Fly ash content of 10% optimized concrete strength, while 20% and 30% fly ash contents at 3 and 28 days resulted in better cement strength compared to the control. Sodium hydroxide initially rapidly improved colloidal sand mixture strength but its influence tapered over time. Amorphous silica and alumina phases significantly affected the performance of ordinary fly ash alkali-activated mortar. ANN learning training data effectively assisted laboratory tests to determine the strength of concrete with a percent error of 10, demonstrating the potential of this approach in enhancing the understanding of concrete properties and strength development.

PLoS ONEVol. 21(1)
Yunnan University (CN), Yunnan Agricultural University (CN), Southwest Forestry University (CN), State Forestry and Grassland Administration (CN), University of Windsor (CA)
Openalex Percentile: Top 82%
Concrete and Cement Materials Research
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