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This research article investigates the displacement ductility coefficient of reinforced concrete columns strengthened with textile-reinforced concrete (TRC) using numerical analysis and a neural network prediction model. The study finds that the BP neural network model effectively predicts ductility coefficients, which align well with experimental values, providing a reliable reference for engineering design. The analysis identifies key factors influencing ductility, including reinforcement layers, axial co

Author

Megha Malagavi

Language

EN