A novel approach to analyze impact damage in composite structures using optical flow cross correlation with neural networks (N-OFCC)

Correlative intelligent approach to predicting damage level in composite structures is presented, tested and proved to be effective. Using energy flow analysis under MATLAB environment and in connection with a neural networks intelligent algorithm (Weight Elimination Algorithm-WEA) proved to be very successful in predicting level of impact damage from correlated features obtained from static images taken for samples under test.