The Multi-stage Damage Identification Approach for Frame Structural Joints Based on the High Efficient Neural Network

The multi-stage damage identification approach for frame structural joints based on the neural network has been raised in this paper.Under the foundation of this approach,a kind of high efficient neural network methods to identify damage in frame structural joints has been established by compiling APDL and MATLAB programs.This approach is divided into four steps.Firstly,damage anomalous filter which is set up by BP neural network has been used to alarm the damage in stuctural joints.Secondly,the primary location of the joint damage is determined by the neural network with inputing the combined damage index1.At the third step,the specific location of the member damage is determined by the neural network with inputing the damage indexNSMC.Finally,the damage degree of the joint is determined by the neural network with inputing the damage indexSMC.