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Converting construction waste and low-density polyethylene into composite materials
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DOI：10.1016/j.cscm.2025.e05447.png)
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Abstract
En 中文
• Developed sustainable composites from (RBW) and mixed (CW) using recycled (LDPE) as a binder. • Results shows improved mechanical performance of CW composites, at 30 % LDPE content. • Successfully applied artificial intelligence to predict mechanical properties accurately, enabling efficient design of waste-derived composites.
Keywords:
AI
Artificial Intelligence
CW
Construction Waste
LDPE
Low-Density Polyethylene
MAE
Mean Absolute Error
ML
Machine Learning
MLP
Multi-Layer Perceptron
MSE
Mean Squared Error
RBW
Red Brick Waste
RFR
Random Forest Regressor
RMSE
Root Mean Squared Error
XGBR
eXtreme Gradient Boosting Regressor
Artificial intelligence
Construction waste
Deep learning
LDPE
Molding
Red brick waste
Recycling
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