Machine Learning Breakthrough Predicts Self-Healing Concrete Performance with Recycled Materials
Scientists have developed an advanced machine learning system that predicts self-healing concrete performance with unprecedented accuracy. The breakthrough model identifies crack width as the most critical factor while validating recycled aggregates’ economic benefits.
Advanced Prediction Model for Sustainable Concrete
Researchers have developed an optimized machine learning approach that can accurately predict the self-healing efficiency of concrete containing recycled materials, according to a recent study published in Scientific Reports. The breakthrough model reportedly achieves exceptional prediction accuracy while identifying the key factors influencing concrete’s ability to autonomously repair cracks.