Geopolymer cold-bonded lightweight aggregate concrete: Mechanical properties and microstructure

Construction and Building Materials, Journal Year: 2025, Volume and Issue: 465, P. 140261 - 140261

Published: Feb. 1, 2025

Language: Английский

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Safety and environmental protection application of high performance solid waste unburned ceramsite and its lightweight high strength concrete

Sustainable Chemistry and Pharmacy, Journal Year: 2024, Volume and Issue: 40, P. 101611 - 101611

Published: May 27, 2024

Language: Английский

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The influence of curing methods on the performance of recycled concrete powder artificial aggregates and concrete

Construction and Building Materials, Journal Year: 2024, Volume and Issue: 435, P. 136908 - 136908

Published: June 7, 2024

Language: Английский

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Functionalization of waste-derived artificial aggregates: A state-of-the-art review

Resources Conservation and Recycling, Journal Year: 2024, Volume and Issue: 212, P. 107999 - 107999

Published: Nov. 9, 2024

Language: Английский

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Language model enhanced surface chloride concentration determination for concrete within splash environment based on limited field records

Case Studies in Construction Materials, Journal Year: 2024, Volume and Issue: 20, P. e03157 - e03157

Published: April 18, 2024

Chloride ion is severely harmful to reinforced concrete (RC) structures in marine environments. For maintaining the durability and safety of designed RC structures, determination chloride concentration on surfaces critical. Currently, surface can be determined using empirical formulas machine learning (ML) approaches. However, these approaches only rely numerical information within field records, disregarding valuable semantic background leading low accuracy. Meanwhile, splash environments, it presents a significant challenge obtain records due complex environment high costs involved. Therefore, based limited concentrations utilizing state-of-the-art language model (LM), this study proposes an LM-based generation (LMIG) improve accuracy structures. This paper utilizes 70 sets fine-tune LMIG generates 200 high-quality records. These are then used train ML algorithms for predicting surfaces. After conducting comparative research, was found that incorporating generated by significantly enhances algorithm. Specifically, predictive random forest algorithm increased 33.1%. Furthermore, also conducts generative adversarial network (GAN)-assisted data-driven method. The results demonstrate integrating into shows advantages enhancing algorithms'

Language: Английский

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Simulating water penetration in cementitious materials using pore structures from mercury intrusion porosimetry

Case Studies in Construction Materials, Journal Year: 2025, Volume and Issue: unknown, P. e04492 - e04492

Published: March 1, 2025

Language: Английский

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Advancing Carbon Sequestration in Engineered Cementitious Composites: Incorporating Slag and Pyrolysis-Enhanced Biochar for Net-Zero Emissions

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 112876 - 112876

Published: May 1, 2025

Language: Английский

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Recent advances and prospects in antibiotics removal by coagulation technique: a systematic review

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 145825 - 145825

Published: May 1, 2025

Language: Английский

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Consecutive pozzolanic layerings to depress internal-sulfate-attack corrosion of OPC by phosphogypsum-based cold bonded aggregates

Corrosion Science, Journal Year: 2024, Volume and Issue: unknown, P. 112458 - 112458

Published: Sept. 1, 2024

Language: Английский

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Selection of an alternate cementitious mortar using ceramic tile dust waste: a hybrid MCDM approach

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: unknown

Published: July 1, 2024

Language: Английский

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