Research On Real-time Monitoring And Response Characteristics Of Vehicle-bridge Linkage Based On Multi-source Sensor

With the rapid development of China’s infrastructure,especially the transportation industry,bridge health monitoring technology has also continued to make breakthroughs,making the safety of bridges in operation and the safety of people’s lives and property effectively guaranteed.However,the bridge health monitoring system only monitors the characteristics of the bridge structure itself and the response information,without taking into account the situation of the vehicles that will be on the bridge,and lacks an intuitive assessment of the accident risk.Therefore,the thesis takes the Erganhe Bridge as an example,and proposes a method of linkage monitoring of the bridge based on multi-source sensors to monitor the bridge response information and the information of the moving vehicles in real-time,using the monitoring data from the sensors and combining with the finite element numerical simulation method to conduct a study of the bridge response characteristics.And firstly,a bridge health monitoring management platform based on vehicle-bridge linkage was established at Ergan River Bridge to provide a demonstration application for the safe operation of the bridge.The main research contents are as follows:(1)Analyze the advantages and shortcomings of bridge health monitoring technologies at home and abroad,and propose a targeted vehicle-bridge linkage real-time monitoring method,while using the analysis method of multi-source monitoring data to make up for the shortcomings of the vehicle-bridge system dynamic response characteristics study.(2)Introduce the engineering profile of the Erganhe Bridge and the target functions and features of the vehicle-bridge linkage monitoring,and establish the platform of the vehiclebridge linkage monitoring system based on the Internet of Things technology,after repeated debugging of sensors and other hardware and field environment testing,so that the system platform is normally online,to achieve the management and utilization of the multi-source monitoring data of the vehicle-bridge system.(3)Detailed introduction to the deployment and monitoring of multi-source sensors,while the preliminary analysis of multi-source big data,summarizing the characteristics of various types of bridge monitoring data and various monitoring items.(4)For the performance of the SG filtering,the CEEMDAN method and the SGCEEMDAN combined method in signal noise reduction,this paper selects the SG-CEEMDAN combined method to process the bridge multi-source monitoring data and improve the data signal-to-noise ratio.And the FFT method was used to identify the processed data,and the first three orders of the bridge’s inherent frequencies were 0.368 Hz,1.268 Hz,and 1.956 Hz,and the frequency response of the bridge under the action of the vehicle was around 0.15 Hz,which would not resonate with the bridge and cause damage to the bridge structure,and the correlation between the monitoring data was analyzed to determine the influence of the bridge structure The main factor affecting the stress of the bridge structure is temperature.(5)Using the original construction data of the Erganhe Bridge,the finite element analysis model of the whole bridge was established by ANSYS Workbench finite element numerical simulation software,and the static analysis of the bridge under three combinations of working conditions was carried out,and the most unfavorable load position of the bridge under different working conditions was verified at the cross brace of the bridge arch;meanwhile,the dynamic response characteristics of the structure of the Erganhe Bridge were analyzed by the finite element numerical simulation.The spatial response characteristics of the bridge under different vehicle conditions were simulated,and the first three orders of inherent frequencies of the bridge were calculated and compared with the processing results of the monitoring data,and the maximum relative error was only 2.8%,which not only verified the accuracy of the monitoring data,but also verified the applicability of the bridge finite element model.