The Settlement Monitoring And The Deformation Prediction On The Under Line Project Of The Loess Area High-speed Railroad

The high-speed railroad must provide a high smoothness and high stable foundation under the axle for train's high speed travel,as the roadbed takes the track structure the foundation,we must maintain the line track's design variable the request reference range under the operation condition,this was without doubt set a very high request for settlement's stability of the high-speed railroad.Therefore,settlement of ground's stability as well as the settlement prediction become the key of the high-speed railroad grade location and the construction.Ballastless Track is a form of railway track laying. It ensures the high-speed railway to run well.The key point of ballastless track's lay condition appraisal is the settlement of the under line project.The zhengzhou -xian passenger transport adopts the Ballastless Track,so we must carry on the analysis to the settlement observation material inoder to compelete the settlement observation of the ZhengXi dedicated passenger line.Then wo should forecast the settlement after the construction so that wo can determinate the time to lay down the ballastless track and guarantee the security of ballastless track's structure.This article have a systematic elaboration on establishment of the settlement monitoring network,the observation content,the observation precision and the observation frequency in dedicated passenger line,specially given a detailed explanation on the roadbed,the bridge,the arch,the tunnel as well as the change-over portion's settlement observation.Finally,I used the gray time-varying parameters model make a settlement prediction in the article,and carry a error test to the forecasting result,then compared it with the result of the hyperbolic curve model.Two kind of forecasting result's contrast has highlighted the gray time-varying parameters model's situation accuracy and effectiveness when"the poor information,the few data".Therefore,the gray time-varying parameters model has a widespread application prospect in the actual project.