Prediction of the strength characteristics of basalt fibre reinforced concrete using explainable machine learning models

• Published in: Discover applied sciences Vol. 7; no. 8; pp. 1 - 24
• Main Authors: Wickramasuriya, B. Y., Alahakoon, Yasitha, Krishantha, B. R. G. A., Alawatugoda, Janaka, Ekanayake, I. U.
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 05.08.2025; Springer
• Subjects: Applied and Technical Physics; Basalt fibre reinforcement concrete; Chemistry/Food Science; Earth Sciences; Engineering; Environment; Explainable artificial intelligence; Machine learning; Materials Science; Mechanical properties; Random forest; Mechanical properties; Explainable artificial intelligence; Random forest; Basalt fibre reinforcement concrete; Machine learning

Adding basalt fibre to concrete has become a promising way to improve its strength under different loading conditions. Predicting the strength of basalt fibre reinforced concrete (BFRC) is more complex than for conventional concrete. Traditional methods rely on iterative experiments to understand th...