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 …
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 …
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 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 …
A hybrid model for predicting the axial compression capacity of square concrete-filled steel tubular columns
Accurate prediction of axial compression capacity (ACC) of concrete-filled steel tubular
(CFST) columns is an important issue to maintain the safety levels of related structures and …
(CFST) columns is an important issue to maintain the safety levels of related structures and …
Optimized data-driven machine learning models for axial strength prediction of rectangular CFST columns
XG Zhou, C Hou, WQ Feng - Structures, 2023 - Elsevier
The nonlinear material interaction in concrete-filled steel tube (CFST) significantly
contributes to its excellent axial compression behaviour, which in the meantime results in …
contributes to its excellent axial compression behaviour, which in the meantime results in …
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 …
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 …
kernel functions, is introduced in this paper to assess the load-carrying capacity of square …
Application of ANN in predicting ACC of SCFST column
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 …
compression capacity (ACC) of square concrete-filled steel tubular (SCFST) columns using …