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