Delamination detection in CFRP composite beam using modified AIS algorithm

In this study a vibration-based Delamination detection is achieved using artificial immune system (AIS) method. The approach is based upon mimicking immune recognition mechanisms that possess features such as adaptation, evolution, and immune learning. A model for determining composite beam natural frequencies evaluated. Detection accuracy and prediction errors calculated with variance account for (VAF) and mean square error (MSE) concepts and compared with different ANN methods. The proposed approach showed significantly better performance in detecting failures in comparison with the other methods.