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This paper presents a data-driven framework for modeling the axial response of stub recycled aggregate concrete-filled steel tube (RACFST) columns, integrating Bayesian optimization with a 3D nonlinear finite element model. The study utilizes a dataset of 209 experimental specimens to calibrate a constitutive model for confined recycled concrete, enhancing the accuracy of load-displacement predictions. The proposed methodology demonstrates potential applications beyond RACFST columns, showcasing a transfera

Author

10majorproject

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EN