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 …

A novel integrated approach of augmented grey wolf optimizer and ANN for estimating axial load carrying-capacity of concrete-filled steel tube columns

A Bardhan, R Biswas, N Kardani, M Iqbal… - … and Building Materials, 2022 - Elsevier
The purpose of this study is to offer a high-performance machine learning model for
determining the ultimate load-carrying capability of concrete-filled steel tube (CFST) …

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 …

Estimation of axial load-carrying capacity of concrete-filled steel tubes using surrogate models

HB Ly, BT Pham, LM Le, TT Le, VM Le… - Neural Computing and …, 2021 - Springer
The main objective of the present work is to estimate the load-carrying capacity of concrete-
filled steel tubes (CFST) under axial compression using hybrid artificial intelligence (AI) …

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 …

Optimization of artificial intelligence system by evolutionary algorithm for prediction of axial capacity of rectangular concrete filled steel tubes under compression

HQ Nguyen, HB Ly, VQ Tran, TA Nguyen, TT Le… - Materials, 2020 - mdpi.com
Concrete filled steel tubes (CFSTs) show advantageous applications in the field of
construction, especially for a high axial load capacity. The challenge in using such structure …

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 …

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 …

Machine learning applications to predict the axial compression capacity of concrete filled steel tubular columns: a systematic review

A Narang, R Kumar, A Dhiman - Multidiscipline Modeling in Materials …, 2023 - emerald.com
Purpose This study seeks to understand the connection of methodology by finding relevant
papers and their full review using the “Preferred Reporting Items for Systematic Reviews and …

Behaviour and design of high strength CFST columns with slender sections

TT Nguyen, HT Thai, T Ngo, B Uy, D Li - Journal of Constructional Steel …, 2021 - Elsevier
The behaviour of high strength concrete-filled steel tube (CFST) columns with slender
sections under concentric loading is experimentally explored in this study. The test program …