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This study presents a machine learning approach to predict the axial load-carrying capacity of reinforced concrete columns reinforced with ferro-cement jacketing. Utilizing a database of 151 specimens, four machine learning models were developed, with the Artificial Neural Network (ANN) demonstrating the highest accuracy. The findings suggest that the ANN model can serve as a practical tool for structural engineers in estimating the axial capacity of ferro-cement strengthened columns.

Author

beenamol

Language

EN