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 …
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 …
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 …
Owing to their economic and structural advantages, concrete‐filled steel tubular (CFST) columns have been implemented in diverse structural applications, especially in high‐rise …
Among recent artificial intelligence techniques, machine learning (ML) has gained significant attention during the past decade as an emerging topic in civil and structural …
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 …
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 …
The nonlinear material interaction in concrete-filled steel tube (CFST) significantly contributes to its excellent axial compression behaviour, which in the meantime results in …
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 …