Novel ensemble approach to predict the ultimate axial load of CFST columns with different cross-sections

TA Nguyen, SH Trinh, MH Nguyen, HB Ly - Structures, 2023 - Elsevier
Concrete-filled steel tubes (CFST) have been widely used in construction due to their
numerous benefits over traditional structural components made of steel or reinforced …

Explainable machine learning models for predicting the axial compression capacity of concrete filled steel tubular columns

C Cakiroglu, K Islam, G Bekdaş, U Isikdag… - … and Building Materials, 2022 - Elsevier
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 …

Universal boosting ML approaches to predict the ultimate load capacity of CFST columns

TA Nguyen, K Le Nguyen, HB Ly - The Structural Design of Tall …, 2024 - Wiley Online Library
Establishing a universal machine learning (ML) model in structural engineering is vital for
understanding how various parameters, like geometry and material properties, influence a …

Enhancing predictive accuracy: a comprehensive study of optimized machine learning models for ultimate load-carrying capacity prediction in SCFST columns

M Gupta, S Prakash, S Ghani - Asian Journal of Civil Engineering, 2024 - Springer
The present study introduces optimized machine learning (OML) models for predicting the
ultimate axial load-carrying capacity of square concrete-filled steel tube (SCFST) columns …

Predicting axial load capacity of CFST columns using machine learning

I Faridmehr, ML Nehdi - Structural Concrete, 2022 - Wiley Online Library
Owing to their economic and structural advantages, concrete‐filled steel tubular (CFST)
columns have been implemented in diverse structural applications, especially in high‐rise …

Machine learning-based prediction of CFST columns using gradient tree boosting algorithm

QV Vu, VH Truong, HT Thai - Composite Structures, 2021 - Elsevier
Among recent artificial intelligence techniques, machine learning (ML) has gained
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 …

Prediction of the axial compression capacity of stub CFST columns using machine learning techniques

K Megahed, NS Mahmoud, SEM Abd-Rabou - Scientific Reports, 2024 - nature.com
Concrete-filled steel tubular (CFST) columns have extensive applications in structural
engineering due to their exceptional load-bearing capability and ductility. However, existing …

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 …

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 …