Structural damage detection using active members and neural networks

Structural damage method uses active member transfer function information, in coordination with artificial neural network, to detect damages in various structures. The neural network training uses the pole/zero transfer function data to specify damage measurements and predict the level of damage in the structure. The efficacy and validity of the method are demonstrated in a 10-bar truss structure.