Study on Purification of SiO2 by S-HGMS Coupling Technology with Fluorine-Free from Iron Ore Tailings and Mechanism

JOM, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 10, 2025

Language: Английский

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Study on the forming method and subgrade performance of construction waste recycled material specimen

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 112114 - 112114

Published: Feb. 1, 2025

Language: Английский

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Novel approaches in prediction of tensile strain capacity of engineered cementitious composites using interpretable approaches

REVIEWS ON ADVANCED MATERIALS SCIENCE, Journal Year: 2025, Volume and Issue: 64(1)

Published: Jan. 1, 2025

Abstract The performance and durability of conventional concrete (CC) are significantly influenced by its weak tensile strength strain capacity (TSC). Thus, the intrusion fibers in cementitious matrix forms ductile engineered composites (ECCs) that can cater to this area CC. Moreover, ECCs have become a reasonable substitute for brittle plain due their increased flexibility, ductility, greater TSC. prediction ECC is crucial without need laborious experimental procedures. achieve this, machine learning approaches (MLAs), namely light gradient boosting (LGB) approach, extreme (XGB) artificial neural network (ANN), k -nearest neighbor (KNN), were developed. data gathered from literature comprise input parameters which fiber content, length, cement, diameter, water-to-binder ratio, fly ash (FA), age, sand, superplasticizer, TSC as output utilized. assessment models gauged with coefficient determination ( R 2 ), statistical measures, uncertainty analysis. In addition, an analysis feature importance carried out further refinement model. result demonstrates ANN XGB perform well train test sets > 0.96. Statistical measures show all give fewer errors higher , depict robust performance. Validation via K -fold confirms showing correlation determination. reveals FA major contribution ECC. graphical user interface also developed help users/researchers will facilitate them estimate practical applications.

Language: Английский

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Synergistic recycling of ground granulated blast furnace slag-red mud-phosphogypsum for developing low-carbon composite cementitious material: Performance characterization and process optimization

Construction and Building Materials, Journal Year: 2025, Volume and Issue: 473, P. 141025 - 141025

Published: March 29, 2025

Language: Английский

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Efficient recovery of iron and alumina from red mud by alkali-enhanced magnetization reduction

Separation and Purification Technology, Journal Year: 2025, Volume and Issue: unknown, P. 133146 - 133146

Published: April 1, 2025

Language: Английский

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