Abstract

There has been rapid development of high-speed railway lines, especially passenger-dedicated railway lines, in China. Trains are traveling at speeds exceeding 250 km per hour and they require highly smooth tracks to ensure safety. However, there have been no in-depth studies on the early warning of the settlement of high-speed railway lines in China or abroad. Most methods use a simple model based on data processing and decision rules. The core issues of early warning lie in the science and rationality of decision rules. The present paper therefore investigates novel and critical indexes for the warning of settlement under high-speed railway lines according to existing norms and field data, and several essential indexes of deformation warning are suggested through theoretical and experimental analysis.

Highlights

  • There have been few studies on early-warning methods for high-speed railway settlement and displacement

  • According to the norms of high-speed railway surveying [2], relevant rules applied to the Wuhan-Guangzhou and recently constructed Hefei-Fujian passenger-dedicated lines, and the actual requirements of projects that assess settlement and displacement under high-speed railway tracks, we conclude the importance of several ex

  • The maximum settlement of a 50-m orbital base is set to 17 mm for a passenger-dedicated line with a train traveling at 300 km per hour

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Summary

Introduction

There have been few studies on early-warning methods for high-speed railway settlement and displacement. Most methods rely on a simple model derived by processing data and setting decision rules. According to theory suggested by the research scholar Chen Shanxiong, general judgement rules involve a core index, controlling index and general index [1]. These three indexes have different importance in practical applications but a decision model adopted by a warning system must take all three into consideration

General Warning Mechanics
Settlement Warning of Single Point
Warning of Un-Uniformed Subsidence
Findings
Conclusions
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