Machine learning approach for predicting the compressive strength of biomedical waste ash in concrete: a sustainability approach

Discover Materials, Journal Year: 2025, Volume and Issue: 5(1)

Published: Feb. 21, 2025

Language: Английский

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Predicting the compressive strength of polymer-infused bricks: A machine learning approach with SHAP interpretability

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 8, 2025

Abstract The rapid increase in global waste production, particularly Polymer wastes, poses significant environmental challenges because of its nonbiodegradable nature and harmful effects on both vegetation aquatic life. To address this issue, innovative construction approaches have emerged, such as repurposing Polymers into building materials. This study explores the development eco-friendly bricks incorporating cement, fly ash, M sand, polypropylene (PP) fibers derived from Polymers. primary innovation lies leveraging advanced machine learning techniques, namely, artificial neural networks (ANN), support vector machines (SVM), Random Forest AdaBoost to predict compressive strength these Polymer-infused bricks. polymer bricks’ was recorded output parameter, with PP waste, age serving input parameters. Machine models often function black boxes, thereby providing limited interpretability; however, our approach addresses limitation by employing SHapley Additive exPlanations (SHAP) interpretation method. enables us explain influence different variables predicted outcomes, thus making more transparent explainable. performance each model evaluated rigorously using various metrics, including Taylor diagrams accuracy matrices. Among compared models, ANN RF demonstrated superior which is close agreement experimental results. achieves R 2 values 0.99674 0.99576 training testing respectively, whereas RMSE value 0.0151 (Training) 0.01915 (Testing). underscores reliability estimating strength. Age, ash were found be most important variable predicting determined through SHAP analysis. not only highlights potential enhance predictive for sustainable materials demonstrates a novel application improve interpretability context repurposing.

Language: Английский

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Towards a sustainable built environment: evaluating alternative water sources for concrete production

Smart and Sustainable Built Environment, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 28, 2025

Purpose This study explores the feasibility of substituting freshwater with alternative water sources such as potable (PW), harvested rainwater (HRW), stormwater (SW), borewell (BW) and seawater (Sea W) in concrete manufacturing. The aim is to evaluate potential these support sustainable development, reduce environmental impact conserve resources construction industry. Design/methodology/approach research followed established production standards evaluated chemical properties various sources. Fresh characteristics, including setting time, workability mechanical (compressive, split tensile flexural strength), were tested at 7, 28 90 days. Durability assessments utilized Volhard assay for chloride content, RCPT permeability a physical sulfate attack test. Additionally, life cycle assessment (LCA) examined impacts, while an economic analysis assessed cost implications each source. Findings results showed only minor differences 2%–3% fresh using sources, no significant changes compressive, or strength compared water. Rapid Chloride Penetration Test (RCPT) Nord techniques that all except seawater, are suitable mixing, they enhance durability due their very low ion concentrations, which minimize risk steel corrosion. attack, mass loss expansion measurements indicates susceptibility seawater. SEM EDS HRW SW also denser microstructures Potable Water, indicating absence voids cracks formation ettringite needles, posed challenges high content corrosion risks. LCA indicated had lowest impact, substantial challenges. confirmed most cost-effective option, meeting Originality/value provides new insights into use non-potable It demonstrates viability HRW, BW water, supporting sustainability goals conserving vital reducing impact.

Language: Английский

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Evaluating the feasibility of using iron powder as a partial replacement for fine aggregates in concrete: An AI-based modeling approach

Construction and Building Materials, Journal Year: 2025, Volume and Issue: 474, P. 140890 - 140890

Published: April 9, 2025

Language: Английский

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