Neural Identification for Critical Flutter Load of a Polar-Orthotropic Annular Plate

With increasing size and complexity of machines and vessels, the inverse problems of continuous bodies are becoming important. In this paper the possibility of using a Multilayer Perceptron Network trained with the Backpropagation Algorithm for detecting the critical flutter load of tapered annular plates is studied. The considered model is a polar-orthotropic plate, using a transfer matrix method, to estimate the changes in various modal parameters, caused by the shape parameters and support conditions of plates.