Damage identification and simulation of structure based on RBF network

RBF neural network is presented to identify and locate the crack damage of concrete structures in this paper. A cantilever is analyzed by finite element method, and the damage indices of the perfect structure and damaged structure are gained. Then RBF neural network is used to analyze the single damage and multi-damage quantification and damage location. Numerical simulation results show that RBF neural network method can make a better diagnosis for single and multiple damage identification. This method has certain guiding sense to damage identification in actual structures.