Simplified deep-learning approach for estimating the ultimate axial load of circular composite columns

Composite columns were preferred over reinforced concrete in modern-day construction techniques due to their confinement effect. Different materials utilized as the outer confining tube and are mainly characterized by mechanical properties. The main objective of this research is develop a novel simplified artificial neural network model for determination ultimate axial load circular composite irrespective type tube. A database had been created with existing experimental results employed training, testing, validation model. set selected from real-time study was determined validated against developed user-friendly graphical user interface proposed which can help researchers anticipating easily efficiently.