Stiffened concrete-filled steel tubes: A systematic review

F Alatshan, SA Osman, R Hamid, F Mashiri - Thin-Walled Structures, 2020 - Elsevier
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 …

Prediction of axial load capacity of rectangular concrete-filled steel tube columns using machine learning techniques

TT Le, PG Asteris, ME Lemonis - Engineering with Computers, 2022 - Springer
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 …

Description of stress-strain curves for cold-formed steels

L Gardner, X Yun - Construction and Building Materials, 2018 - Elsevier
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 …

Evaluation of the ultimate eccentric load of rectangular CFSTs using advanced neural network modeling

PG Asteris, ME Lemonis, TT Le, KD Tsavdaridis - Engineering Structures, 2021 - Elsevier
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 …

Application of ANN in predicting ACC of SCFST column

VL Tran, DK Thai, SE Kim - Composite Structures, 2019 - Elsevier
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 …

The influence of the inner steel tube on the compression behaviour of the concrete filled double skin steel tube (CFDST) columns

T Ekmekyapar, HG Hasan - Marine Structures, 2019 - Elsevier
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 …

Practical machine learning-based prediction model for axial capacity of square CFST columns

TT Le - Mechanics of Advanced Materials and Structures, 2022 - Taylor & Francis
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 …

Application of machine learning models for designing CFCFST columns

M Zarringol, HT Thai, MZ Naser - Journal of Constructional Steel Research, 2021 - Elsevier
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 …

A comprehensive and reliable investigation of axial capacity of Sy-CFST columns using machine learning-based models

A Memarzadeh, H Sabetifar, M Nematzadeh - Engineering Structures, 2023 - Elsevier
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 …

Development of user-friendly kernel-based Gaussian process regression model for prediction of load-bearing capacity of square concrete-filled steel tubular members

TT Le, MV Le - Materials and Structures, 2021 - Springer
Abstract A Machine Learning (ML) model based on Gaussian regression, using different
kernel functions, is introduced in this paper to assess the load-carrying capacity of square …