Strength prediction of concrete-filled steel tubular columns using Categorical Gradient Boosting algorithm

•Categorical gradient Boosting (CatBoost) is presented to predict the strength of concrete-filled steel tubular columns.•A total of 3103 tests, which is divided in four datasets, is collected to train and test the learners•The comparison of the present results and those from the code predictions sho...

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Bibliographic Details
Published in:	Engineering structures Vol. 238; p. 112109
Main Authors:	Lee, Seunghye, Vo, Thuc P., Thai, Huu-Tai, Lee, Jaehong, Patel, Vipulkumar
Format:	Journal Article
Language:	English
Published:	Kidlington Elsevier Ltd 01.07.2021 Elsevier BV
Subjects:	Algorithms Building codes Categorical gradient Boosting (CatBoost) Code predictions Composite structures Concrete columns Concrete-filled steel tubular columns Datasets Diameters Material strengths Mechanical properties Predictions Slenderness ratio Steel Steel columns Steel tubes Strength of materials Concrete-filled steel tubular columns Slenderness ratio Code predictions Categorical gradient Boosting (CatBoost) Material strengths
ISSN:	0141-0296, 1873-7323
Online Access:	Get full text
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