Study On Monitoring System And Damage Identification For Suspension Bridge

Based on the theories and techniques of suspension bridge monitoring system, and with the project of The Health Monitoring System of Yangluo yangtze river Bridge, this dissertation deeply studies the integrated monitoring system of suspension bridge.At the same time, this dissertation discusses the relevant issues such as sensor selection, signal collection, data processing, damage detection, structure evaluation etc, and further puts forward some new approaches and new conclusions, problems as synchro communi- cation, signal anti-jamming, data interface are solved.The feasibility of structural damage identification method by combining static and dynamic combining modal parameters and neural network is analyzed.combining static and dynamic Ways to identify the simulation of damage Through the "quasi-constant-load" deflection mode shape curvature and multi-stage change in the margin to damage detection. A damage identification method using combined parameters is proposed, approaches to modeling, training and damage identification are also elaborated. On this basis, damage identification of Yangtse River Bridge in Yangluo, Wuhan is studied. For the sake of mitigating the workload on picking up samples, downsizing the network and accelerating training. To "quasi-constant-load" deflection curvature change as a basis for damage identification, and To vibration mode change as a basis for damage identification, for damage identification.Damage sections of the main-cable of the bridge are plotted. Input parameters are optimized by sensitivity analysis. Samples are picked up by modal analysis of the bridge model. The BP network is trained by modified algorithm, and eventually, the optimal network model for damage identification is found out. According to the result of testing,...