Explainable machine learning models for predicting the axial compression capacity of concrete filled steel tubular columns
Concrete-filled steel tubular (CFST) columns have been popular in the construction industry
due to enhanced mechanical properties such as higher strength and ductility, higher seismic …
due to enhanced mechanical properties such as higher strength and ductility, higher seismic …
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 …
Regression (GPR) was developed to predict the axial load of square concrete-filled steel …
Machine learning-based prediction of CFST columns using gradient tree boosting algorithm
Among recent artificial intelligence techniques, machine learning (ML) has gained
significant attention during the past decade as an emerging topic in civil and structural …
significant attention during the past decade as an emerging topic in civil and structural …
Machine learning (ML) based models for predicting the ultimate strength of rectangular concrete-filled steel tube (CFST) columns under eccentric loading
C Wang, TM Chan - Engineering Structures, 2023 - Elsevier
Concrete-filled steel tubes (CFSTs) are popularly used in structural applications. The
accurate prediction of their ultimate strength is a key for the safety of the structure. Extensive …
accurate prediction of their ultimate strength is a key for the safety of the structure. Extensive …
Application of machine learning models for designing CFCFST columns
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 …
(SVR) and artificial neural network (ANN) are employed to predict the ultimate strength of …
Strength prediction of circular CFST columns through advanced machine learning methods
C Hou, XG Zhou - Journal of Building Engineering, 2022 - Elsevier
Concrete-filled steel tube (CFST), well recognized for its excellent mechanical behaviour
and economic efficiency, is widely used as a main load-carrying component in various kinds …
and economic efficiency, is widely used as a main load-carrying component in various kinds …
Prediction of axial load capacity of rectangular concrete-filled steel tube columns using machine learning techniques
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 …
rectangular concrete-filled steel tubular (CFST) columns based on soft computing …
Application of ANN to the design of CFST columns
In this paper, artificial neural network (ANN) is used to predict the ultimate strength of
rectangular and circular concrete-filled steel tubular (CFST) columns subjected to concentric …
rectangular and circular concrete-filled steel tubular (CFST) columns subjected to concentric …
Evaluating structural response of concrete-filled steel tubular columns through machine learning
Concrete-filled steel tubular (CFST) columns are unique structural members that capitalize
on the synergy between steel and concrete materials. Due to complexities arising from the …
on the synergy between steel and concrete materials. Due to complexities arising from the …
A comprehensive and reliable investigation of axial capacity of Sy-CFST columns using machine learning-based models
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 …
tube (Sy-CFST) columns using different machine learning methods has mainly focused on a …