Performance Analysis and Application of Long-Term Health Monitoring Data for a Large-Span Cable-Stayed Bridge
In order to fully analyze and excavate the variation rules of bridge performance embedded within the long-term bridge health monitoring data,so as to be used in the future assessment of structural performance variation to provide supportive data and judgmental basis,this paper selected the Minpu Bridge,which has a main bridge span of 776 m,as an example,and collected the health monitoring data of the bridge for more than 10 years.We wrote the program code using the software to carry out data processing and analysis,which includes data preprocessing,modal identification,data fitting and other approaches,carried out a related study on the variation rule of structural performance of the bridge during the operation period,and analyzed the data characteristics of the main span deflection,structural strain,and cable-stayed cable force by means of data fitting and global analysis of the data,and carried out a study on the periodic modal identification of the acceleration data during the period of more than 10 years by means of a fast Bayesian FFT modal identification method,in order to extract the bridge long-term vibration response data characteristics.Finally,based on the results of dynamic and static force characterization and different analysis processes and paths,combined with the obtained laws and conclusions,the analysis mode,focus of attention,and suggested parameters for long-term data storage and feature extraction,as well as the final long-term data reasonable utilization mode of SHM data during the operation period are rationally scheduled from the perspective of the maintenance operator.
health monitoringdata analysisdata mininglong-term data
万方数据
维普
