GENETIC ALGORITHMS FOR NONDESTRUCTIVE TESTING IN CRACK IDENTIFICATION

A method to identify the nature of a crack on the surface of a region using nondestructive testing (NDT) and inverse problem methodology is presented. A genetic algorithm (GA) based approach, which involves a global search to avoid local minima, is presented and applied to salve the inverse problem of identifying the position, shape and the orientation of a surface crack. A fine tuning algorithm is combined with the GA to reach the optimum solution.