Optimization of Material Composition for Improving Mechanical Properties of Fly Ash-Slag-Based Geopolymers: A Deep Learning Approach

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

Published: April 9, 2025

Geopolymer is regarded as a novel type of eco-friendly material that may replace cement. To improve the prediction accuracy mechanical properties fly ash-slag-based geopolymer (FASGG), well optimize composition and mix design, this study utilizes seven key parameters variables, compressive flexural strengths were outputs. Deep learning techniques applied to train predict 600 sets experimental data, developing predictive model MK-CNN-GRU, which integrated Maximal Information Coefficient-K-median algorithm, Convolutional Neural Network, Gated Recurrent Unit algorithms. Results indicated ranking input related with strength was curing age, Ca/Si ratio, ash-to-slag Si/Al water-to-binder alkali activator modulus, equivalent. Three classical models selected benchmarks for predicting at different ages. The MK-CNN-GRU could fully exploit internal features data learn its variation patterns, resulting in more stable performance. An ablation submodels confirms considers temporal dependencies, long- short-term features, local dependencies hierarchical feature representations within data. Experimental suggested an exponential relationship between FASGG. predictions effectively captured variations, demonstrating good generalization ability applicability. This enhances estimation regarding behavior FASGG, offering theoretical framework refining design.

Language: Английский

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Optimizing Limestone Calcined Clay Cement for Enhanced 3D Printing Performance of Low-Carbon Materials

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 112634 - 112634

Published: April 1, 2025

Language: Английский

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Comparison of commercial nitrate-based accelerators and their pure constituents on hydration kinetics, composition, and hydration degree of zinc oxide blended Portland cement

Journal of Thermal Analysis and Calorimetry, Journal Year: 2025, Volume and Issue: unknown

Published: April 22, 2025

Language: Английский

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Flexural Behavior and Performance Assessment of Corroded Geopolymer Concrete Beams after Fire Exposure

Case Studies in Chemical and Environmental Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 101232 - 101232

Published: April 1, 2025

Language: Английский

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Artificial Intelligence in Geopolymer Concrete Mix Design: A Comprehensive Review of Techniques and Applications

Iranian Journal of Science and Technology Transactions of Civil Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: May 13, 2025

Language: Английский

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