Research on Damage Identification in Stay Cables of Cable-Stayed Bridge Based on Modal Analysis Theory and Neural Networks
Xiedong Zhang · 2007
Vibration modal analysis is integrated with neural networks in the thesis.Damage signatures for damage identification formed by vibration modal parameters are inputted to neural networks as parameters for structural health monitoring.According to the design data of highway cable-stayed bridge on Yunyang Changjiang river,the focus of the research is placed on three instances,including: one component of the bridge is damaged;two components and three components are damaged.Modal frequency,displacement modal shape and curvature modal shape are used as BP neural networks import vector respectively;sample data of each damaged state are collected;nine BP neural networks models are established for researching bridge damage detection.The result indicates that the method based on vibration modal analysis theory and BP neural networks can detect not only the damage position but the damage degree.