Machine Learning-Assisted Sustainable Mix Design of Waste Glass Powder Concrete with Strength–Cost–CO<sub>2</sub> Emissions Trade-Offs

Machine Learning-Assisted Sustainable Mix Design of Waste Glass Powder Concrete with Strength–Cost–CO<sub>2</sub> Emissions Trade-Offs

Glass powder, a non-degradable waste material, offers significant potential to reduce cement consumption and carbon emissions in concrete production. However, existing mix design methods for glass powder concrete (GPC) fail to systematically balance economic efficiency, environmental sustainability,...

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Bibliographic Details
Main Authors: Yuzhuo Zhang, Jiale Peng, Zi Wang, Meng Xi, Jinlong Liu, Lei Xu
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Buildings
Subjects:
sustainable construction materials
waste glass
carbon footprint reduction
multi-objective optimization
machine learning
Online Access:https://www.mdpi.com/2075-5309/15/15/2640
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