Prediction of Mechanical Properties of the Stirrup-Confined Rectangular CFST Stub Columns Using FEM and Machine Learning
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DOI: 10.3390/math9141643
Abstract: 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… read more here.
Keywords: rectangular cfst; cfst stub; machine learning; stirrup confined ... See more keywords