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 …
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 …
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 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 …
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 …
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 …
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 …
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 …
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 …