Prediction of Mechanical Properties of the Stirrup-Confined Rectangular CFST Stub Columns Using FEM and Machine Learning

Prediction of Mechanical Properties of the Stirrup-Confined Rectangular CFST Stub Columns Using FEM and Machine Learning

In this study, a machine learning method using gradient boost regression tree (GBRT) model was presented to predict the ultimate bearing capacity of stirrup-confined rectangular CFST stub columns (SCFST) by using a comprehensive data set and by adjusting the selected parameters indicated in the prev...

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Bibliographic Details
Main Authors: Deren Lu, Zhidong Chen, Faxing Ding, Zhenming Chen, Peng Sun
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Mathematics
Subjects:
machine learning method
gradient boost regression tree (GBRT) model
stirrup-confined rectangular CFST stub columns
finite element analyses
prediction
Online Access:https://www.mdpi.com/2227-7390/9/14/1643

Internet

https://www.mdpi.com/2227-7390/9/14/1643

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