The behavior of concrete filled steel tubular (CFST) elements with different types of stiffening
measures has been wildly investigated during the past two decades through experimental …

This work aims to develop a novel and practical equation for predicting the axial load of
rectangular concrete-filled steel tubular (CFST) columns based on soft computing …

Cold-formed steels are generally characterized by a rounded stress-strain response with no
sharply defined yield point. It is shown herein that this material behaviour can be accurately …

In this paper an Artificial Neural Network (ANN) model is developed for the prediction of the
ultimate compressive load of rectangular Concrete Filled Steel Tube (CFST) columns, taking …

The stress-strain characteristics of structural steels are predominantly influenced by their
chemical composition, manufacturing process and heat treatment. To date, various stress …

The main objective of this paper is to derive a new empirical formula for predicting the axial
compression capacity (ACC) of square concrete-filled steel tubular (SCFST) columns using …

Abstract Concrete Filled Double Skin Steel Tube (CFDST) columns which comprise two
concentric steel tubes and shell concrete between them is a favourable member of …

In this paper, a surrogate Machine-Learning (ML) model based on Gaussian Process
Regression (GPR) was developed to predict the axial load of square concrete-filled steel …

In this study, two machine learning (ML) algorithms including support vector regression
(SVR) and artificial neural network (ANN) are employed to predict the ultimate strength of …

The literature on predicting the load-carrying capacity of symmetrical concrete-filled steel
tube (Sy-CFST) columns using different machine learning methods has mainly focused on a …