Performance-based seismic evaluation and machine learning prediction of damage index for externally strengthened reinforced concrete columns with high-performance fiber composite laminates
Key Points
Damage index increases with seismic load, emphasizing the importance of proper evaluation methods in construction.
Machine learning accurately predicts damage index with an R-squared value of 0.85 during testing.
Assessment using performance-based seismic evaluation reveals insights on reinforced concrete and composite materials.
Highlights the need for improved frameworks in evaluating structural integrity during seismic events.
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Performance-based seismic evaluation and machine learning prediction of damage index for externally strengthened reinforced concrete columns with high-performance fiber composite laminates | Synapse