Deformation Monitoring And Data Processing Of High-speed Railway On Soft Soil Subgrade During Operating Period

The high-speed rail which laying on soft soil foundation in the construction and operation period will produce uneven settlement which resulting in the phenomenon of bump at bridge-head. This will affects the speed of high-speed rail, increases high-speed rail maintenance costs,and even affects the safe operation of high-speed rail. Therefore, it has great significance to monitor the deformation of the subgrade in soft soil foundation during the operation period of high-speed railway and analyze the monitoring data.This paper analyzed the characteristics of soft soil foundation and settlement mechanism, and combine with the general situation of the project and the technical specification for the deformation monitoring of high-speed railway subgrade to describe the monitoring scheme of high-speed railway operation period which base on the soft soil subgrade of a high-speed railway. Through analyzed the advantages and limitations of the commonly used deformation data processing methods,which such as regression analysis method, time series analysis method and Kalman filter and so on, this paper selects the Kalman filter model which does not need the equal interval observation data to process deformation monitoring data. Used MATLAB programming to achieve deformation monitoring data processing which base on a variety of Kalman filtering. Through filtered the acquisition of monitoring data which not had gross error and artificially added gross error, and compared with the adjusted value, the paper proves that Kalman filtering model can be used for deformation monitoring data processing and the improved Kalman filter model is better than the classical Kalman filter model. The robust Kalman filter model and the robust adaptive Kalman filter model have the better ability of resistance to gross errors, and the robust adaptive Kalman filtering model is better than the robust filtering model.