Long Span Continuous Rigid Frame Bridge Health Monitoring And Data Analysis

The continuous rigid frame bridge type has the advantages of smooth running,uninterrupted beam construction,convenient construction and economical application,which can meet the stress requirements of the large span bridge,making it the main push of the large span(60m ~ 200m)bridge structure Bridge,for decades has been rapid development.However,at present,some long-span continuous rigid-framed bridges are accompanied by different levels of disease,mainly for the main beam across the middle of the deflection and box beam cracking problem.Gain influence each other all sorts of disease,seriously endangering its safety service.In order to ensure the safety of the bridge structure,it is of great significance to study the long-term health monitoring system of long-span continuous rigid frame.Bridge health monitoring system platform to build the core idea is: how to use the sensor placement on the bridge to the structure of bridge and reliable information to analyze the structure of evaluation service condition and safety assessment.In short,it contains three aspects of content:1? reliable,continuous,long-term work of the sensor selection and layout;2? the monitoring of large data processing and analysis and real-time status assessment;3? to carry out in-depth excavation of large data to achieve the bridge structure theory of practical understanding.Therefore,this paper is based on this key problem analysis and research,combined with relying on engineering JUSHUI River Bridge health monitoring system to carry out research,the main research include:1? For the special bridge form of the long span continuous rigid frame bridge,the key problems such as the overall design,the function structure and the monitoring content of the health monitoring system are explained by the structural characteristics.2? This paper introduces the design criteria of the optimal layout of the power sensor,applies the five optimal layout calculation methods to optimize the design of the power sensor.Finally,the comprehensive evaluation index system is established to evaluate the optimization results of the algorithm.3? The basic method of large data processing of bridge is summarized,and the evaluation method of real-time monitoring data analysis is put forward by referring to the method of judging the test coefficient of load test.4? The FDD method and the SSI method are used to realize the modal recognition based on the environment excitation by using MATLAB software.By means of engineering identification,it is shown that these two methods have high applicability in modal parameter identification of large span rigid bridge.5? Based on the T-S fuzzy neural network algorithm,the modal recognition result based on the measured data is presented,and its application in the model correction is analyzed.