Prediction of compressive capacity of square concrete-filled steel tube columns under eccentric loading

Abstract

This paper presents research on square concrete – filled steel tube columns (CFST) under eccentric loading using machine learning models. The database included 275 samples collected from experimental and numerical studies worldwide. The Qlattice regression method – a model inspired by quantum theory is used to build an equation to determine the compressive capacity of CFST under eccentric loading. Comparison with results from previous studies and GB 50936-2014 standard results show that the model achieves quite high accuracy.