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S. Selvaraju

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Open access Oct 2026

Deep Learning Framework for Impact Damage Quantification and Residual Flexural Strength Prediction in GFRP Composite Structures

Accurate determination of residual strength in composite materials is essential for ensuring structural reliability, particularly under low‐velocity impact conditions where damage is often barely visible yet significantly reduces load‐carrying capacity. Conventional residual strength evaluation methods are generally...

Anandakumar Paramasivam, S. Selvaraju, S. Pal · 0 citations

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