Research on Settlement Prediction Method of High-speed Railway Pier Based on Autoregressive EIV Model
The settlement monitoring and control of high-speed railway(HSR)underline engineering is the basis of realizing the high smoothness construction and high stability operation of railway track.Bridge engineering accounts for more than 50%of the total mileage in the HSR projects that has been established in China.Therefor,it is of great significance for the smooth construction of HSR project and the operation safety of HSR network to carry out settlement monitoring and prediction,so as to realize the rapid and accurate judgment of settlement deformation trend.In order to establish a settlement prediction model that conforms to the actual settlement deformation of HSR piers,the relevant research was carried out based on the autoregressive(AR)model and linear hypothesis theory.Firstly,on the basis of classical AR model,combined with the actual situation of modeling,considering the influence of model variable errors on AR model modeling,the modeling and solution method of autoregressive EIV model for HSR pier settlement prediction considering the model variable errors was derived.Then,the optimum prediction model selection method for HSR pier settlement based on linear hypothesis theory was deduced.Finally,a prediction method of HSR pier settlement based on autoregressive EIV model was designed.The research results show that,the algorithm proposed can be used to establish the optimum settlement prediction model that conforms to the actual settlement deformation of HSR pier,which can objectively and accurately predict the settlement deformation trend of HSR pier,and provide a scientific basis for the construction and operation decision-making.
万方数据
维普
