Prediction of fracture toughness in fibre-reinforced concrete, mortar, and rocks using various machine learning techniques

•Twenty Machine Learning (ML) algorithms implemented in Python software to predict fracture load and fracture toughness in three modes.•For fracture load, the algorithms of XGBoost, BRegressor, GBM, ERTRegressor (mode I), XGBoost, GBM, ETRegressor, ERTRegressor (mode II), and BRegressor, GBM, ETRegr...

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Vydané v:	Engineering fracture mechanics Ročník 276; s. 108914
Hlavní autori:	Dehestani, A., Kazemi, F., Abdi, R., Nitka, M.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.12.2022
Predmet:	Data-driven techniques Fracture load Fracture toughness Machine learning algorithm Prediction model Supervised learning Data-driven techniques Fracture load Supervised learning Machine learning algorithm Prediction model Fracture toughness
ISSN:	0013-7944, 1873-7315
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