crossrefBuildings2024-12-20Cited by 7
Advanced Ensemble Machine-Learning Models for Predicting Splitting Tensile Strength in Silica Fume-Modified Concrete
Nadia Moneem Al-Abdaly, Mohammed E. Seno, Mustafa A. Thwaini, Hamza Imran, Krzysztof Adam Ostrowski, Kazimierz Furtak
The splitting tensile strength of concrete is crucial for structural integrity, as tensile stresses from load and environmental changes often lead to cracking. This study investigates the effectiveness of advanced ensemble machine-learning models, including LightGBM, GBRT, XGBoos…