Hybrid BART-based models optimized by nature-inspired metaheuristics to predict ultimate axial capacity of CCFST columns
The goal of this study was to investigate a novel approach of predicting the ultimate capacity
of axially loaded circular concrete-filled steel tube (CCFST) columns. A hybrid intelligent …
of axially loaded circular concrete-filled steel tube (CCFST) columns. A hybrid intelligent …
Ultimate axial strength prediction of concrete-filled double-skin steel tube columns using soft computing methods
B Zhang, X Xue - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
In this study, two hybrid models, grey wolf optimizer (GWO) combined with group method of
data handling (GMDH) and random forest (RF) optimized by particle swarm optimization …
data handling (GMDH) and random forest (RF) optimized by particle swarm optimization …
Hybrid GA-ANN and PSO-ANN methods for accurate prediction of uniaxial compression capacity of CFDST columns
The paper proposes two hybrid metaheuristic optimization and artificial neural network
(ANN) methods for the close prediction of the ultimate axial compressive capacity of …
(ANN) methods for the close prediction of the ultimate axial compressive capacity of …
[PDF][PDF] A robust approach in prediction of RCFST columns using machine learning algorithm
VT Pham, SE Kim - Steel Compos. Struct, 2023 - researchgate.net
Rectangular concrete-filled steel tubular (RCFST) column, a type of concrete-filled steel
tubular (CFST), is widely used in compression members of structures because of its …
tubular (CFST), is widely used in compression members of structures because of its …
Hybrid particle swarm optimization and group method of data handling for the prediction of ultimate strength of concrete-filled steel tube columns
C Deng, X Xue - Advances in Engineering Software, 2024 - Elsevier
This study presents a hybrid model coupling particle swarm optimization (PSO) with group
method of data handling (GMDH) for predicting the ultimate strength of rectangular concrete …
method of data handling (GMDH) for predicting the ultimate strength of rectangular concrete …
An improved random forest model to predict bond strength of FRP-to-concrete
L Tao, X Xue - Journal of Civil Engineering and Management, 2024 - journals.vilniustech.lt
Fiber-reinforced polymer (FRP) is an excellent building material for strengthening concrete
structures, but it is difficult to accurately evaluate the bond strength of FRP-to-concrete due to …
structures, but it is difficult to accurately evaluate the bond strength of FRP-to-concrete due to …
Prediction of ultimate bearing capacity of concrete filled steel tube stub columns via machine learning
C Deng, X Xue, L Tao - Soft Computing, 2024 - Springer
In this study, three artificial intelligence models, namely group method of data handling,
gene expression programming and random forest, are proposed to predict the ultimate …
gene expression programming and random forest, are proposed to predict the ultimate …