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Damage mechanics Views: 571 Downloads: 376 Vol. 20, No. 75 (2026) October 16, 2025 pp. 55-75

Prediction of crack length in thin-walled plates under different mode conditions using machine learning algorithms

Abdul Aabid Shaikh

This study uses theoretical stress intensity factor data to assess how well machine learning models predict crack length. Thin-walled damage plate under various modes was evaluated based on the theoretical relation. Using theoretical data…

10.3221/IGF-ESIS.75.06

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Structural Integrity and Safety: Experimental and Numerical Perspectives Views: 1,881 Downloads: 1,043 Vol. 17, No. 63 (2023) December 21, 2022 pp. 37-45

Artificial neural network based delamination prediction in composite plates using vibration signals

T. G. Sreekanth, M. Senthilkumar, S. Manikanta Reddy

Dynamic loading on composite components may induce damages such as cracks, delaminations, etc. and development of an early damage detection technique for delaminations is one of the most important aspects in ensuring the integrity and…

10.3221/IGF-ESIS.63.04

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Prediction of crack length in thin-walled plates under different mode conditions using machine learning algorithms

Artificial neural network based delamination prediction in composite plates using vibration signals