| Settlement evaluation of underline engineering of passenger dedicated line is the most important engineering link before track-laying. After the completion of bridges, culverts, roads and tunnels, whether can lay track plate and do the next process or not is depended on when the settlement evaluation completes. So it is necessary to study the settlement evaluation of Zhejiang section of Hangzhou-Changsha passenger dedicated line which is based on the actual geological conditions and underline structures, in order to provide reference for the settlement evaluation of other lines. Through field investigation, statistics of settlement and mathematical experiment, this article mainly studies the deformation law and influence factors of different structures after the completion of main project. It also studies the applicability of four common settlement prediction methods for Zhejiang section of Hangzhou-Changsha passenger dedicated line, and introduces new evaluation indexes to evaluate the accuracy and applicability of the curve fitting model. The main content and research results of this paper are as follows:(1) It summarizes the requirements, process, criteria and methods of settlement evaluation in Zhejiang section of Hangzhou-Changsha passenger dedicated line in detail;(2) It discusses the deformation law and influence factors of different structures after the completion of main project by statistical analysis of measured data of Zhejiang section of Hangzhou-Changsha passenger dedicated line;(3) It studies the four kinds of commonly used settlement prediction methods, such as Asaoka method, gray model, hyperbolic and exponential method, in the applicability of settlement evaluation, and contrasts their predicted results;(4) For Zhejiang section of Hangzhou-Changsha passenger dedicated line, this article analysis the reason of generally low correlation coefficient in settlement evaluation, and proposes a suggested model for assessing accuracy of curve fitting based on field measured settlement data which has the characteristic of "small scale and large fluctuation". |