Mechanical performance of low-carbon ultra-high performance engineered cementitious composites (UHP-ECC) with high-volume recycled concrete powder

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 88, P. 109153 - 109153

Published: March 27, 2024

Language: Английский

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Descriptive review on conversion of waste residues into valuable bionanocomposites for a circular bioeconomy

Nano-Structures & Nano-Objects, Journal Year: 2024, Volume and Issue: 39, P. 101265 - 101265

Published: Aug. 2, 2024

Language: Английский

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Study on fracture characteristics and fracture mechanism of fully recycled aggregate concrete using AE and DIC techniques

Construction and Building Materials, Journal Year: 2024, Volume and Issue: 419, P. 135540 - 135540

Published: Feb. 28, 2024

Language: Английский

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Physical performance, durability, and carbon emissions of recycled cement concrete and fully recycled concrete

Construction and Building Materials, Journal Year: 2024, Volume and Issue: 447, P. 138128 - 138128

Published: Sept. 4, 2024

Language: Английский

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Sustainable mix design of recycled aggregate concrete using artificial intelligence

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 442, P. 140994 - 140994

Published: Feb. 1, 2024

Recycled aggregate concrete (RAC) enhanced with supplementary cementitious materials (SCMs) presents a sustainable alternative in the construction industry. This study involved comprehensive analysis of compressive strength (CS) RAC SCM, compiling dataset 3519 samples from published literature. A variety machine learning (ML) techniques were applied to predict RAC, including Elastic Net regression, K-Nearest Neighbor, Artificial Neural Network, Support Vector Machine, Decision Tree, Random Forest, eXtreme Gradient Boosting, Light Category and stacking methods. Particularly noteworthy was use technique boost ML model predictive accuracy. The top-performing demonstrated 4.2 % improvement root mean squared error over next best model, during testing. Sensitivity analysis, conducted both compiled Monte Carlo-simulated databases, identified testing age cement content as critical factors influencing CS RAC. aligns existing experimental research. Additionally, multi-objective water cycle algorithm utilized optimize CS, CO2 emissions, cost resulting mix design practice. Lastly, user-friendly graphical interface developed which allows users input custom parameters, such properties components optimization settings, obtain mixtures.

Language: Английский

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A complete thermo-poromechanical model for freeze-thaw modification of recycled coarse aggregate considering deterioration of each component

Construction and Building Materials, Journal Year: 2024, Volume and Issue: 421, P. 135626 - 135626

Published: March 1, 2024

Language: Английский

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Sustainable mix design and carbon emission analysis of recycled aggregate concrete based on machine learning and big data methods

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: 489, P. 144734 - 144734

Published: Jan. 1, 2025

Language: Английский

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A multiscale analysis of interfacial adhesion properties in asphalt mixtures incorporating recycled concrete aggregates

Materials Today Communications, Journal Year: 2025, Volume and Issue: unknown, P. 111600 - 111600

Published: Jan. 1, 2025

Language: Английский

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Effect of strength of parent concrete on utilization of recycled aggregate concrete: A review

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 112187 - 112187

Published: Feb. 1, 2025

Language: Английский

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Utilization of all components of waste concrete: Recycled aggregate strengthening, recycled fine powder activity, composite recycled concrete and life cycle assessment

Journal of Building Engineering, Journal Year: 2023, Volume and Issue: 82, P. 108255 - 108255

Published: Dec. 4, 2023

Language: Английский

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