Selection of the Optimal Type of Bored-Injection Piles Strengthening of Weak Bases of High-Speed Railway Lines

2019 ◽  
pp. 40-44
Author(s):  
N.S. SOKOLOV ◽  
◽  
S.S. VIKTOROVA ◽  
I.P. FEDOSEEVA ◽  
G.M. SMIRNOVA ◽  
...  
Keyword(s):  
High Speed ◽  
High Speed Railway ◽  
Weak Bases ◽  
Selection Of ◽  
Optimal Type

scholarly journals Determination of the optimal curvature of the turnout diverging track for HSR using dynamic analysis

2017 ◽  
Vol 2017 (10) ◽  
pp. 1-11
Author(s):  
Władysław Koc ◽  
Katarzyna Palikowska
Keyword(s):  
Dynamic Analysis ◽  
Analytical Method ◽  
High Speed ◽  
Extreme Points ◽  
Point Of View ◽  
High Speed Railway ◽  
Zero Values ◽  
Linear And Nonlinear ◽  
Selection Of

The paper presents an analytical method of identifying the curvature of the turnout diverging track consisting of sections of varying curvature. Such turnout is mainly applied on High Speed Railway. Both linear and nonlinear (polynomial) curvatures of the turnout diverging track are considered in the paper. Obtained solutions enable to assume curvature values at the beginning and end point of the geometrical layout of the turnout.The paper focus on a fundamental and unexplained so far issue connected with selection of the most favourable curvature section from the operational requirements point of view. In order to determine the optimal curvature a dynamic analysis has been carried out on the several representative cases. It has been indicated that, used in railway practice, clothoid sections with nonzero curvatures at the beginning and end points of the turnout should be verified. It has been proved that the turnout with nonlinear curvature reaching zero values at the extreme points of the geometrical layout is the most favourable.

scholarly journals Research on Selection of Prefabricated Lining Design for Single-Track Tunnel of High Speed Railway

2020 ◽  
Vol 455 ◽  
pp. 012134
Author(s):  
Shenglong Zhang ◽  
Zhiwei Wang ◽  
Kai Chang ◽  
Peng Zhao ◽  
Zihong Wang ◽  
...  
Keyword(s):  
High Speed ◽  
Single Track ◽  
High Speed Railway ◽  
Selection Of

Research on High-Speed Railway Line Selection Based on Analytic Hierarchy Process

2014 ◽  
Vol 577 ◽  
pp. 1061-1064
Author(s):  
Feng Zhang ◽  
Xin Di Wang ◽  
Fu Shen Sheng
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
High Speed ◽  
Decision Making Process ◽  
Analytic Hierarchy ◽  
High Speed Railway ◽  
Railway Line ◽  
Line Selection ◽  
Hierarchy Process ◽  
Selection Of

This paper mainly introduces the use of judgment and the decision-making process of Analytic Hierarchy Process (AHP) to solve the choice of railway line. From the aspects of economy, technology, environment and society, we determine the factors that influence the selection of railway line. Through the application of Analytic Hierarchy Process (AHP), we analyzed the problems.

scholarly journals Semi-Supervised Deep Learning in High-Speed Railway Track Detection Based on Distributed Fiber Acoustic Sensing

Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 413
Author(s):  
Shulun Wang ◽  
Feng Liu ◽  
Bin Liu
Keyword(s):  
Deep Learning ◽  
Optical Sensors ◽  
High Speed ◽  
Railway Track ◽  
Detection Methods ◽  
High Speed Railway ◽  
Safety Risks ◽  
Data Driven Approach ◽  
Distributed Optical Fiber ◽  
Selection Of

High deployment costs, safety risks, and time delays restrict traditional track detection methods in high-speed railways. Therefore, approaches based on optical sensors have become the most remarkable strategy in terms of deployment cost and real-time performance. Owing to the large amount of data obtained by sensors, it has been proven that deep learning, as a powerful data-driven approach, can perform effectively in the field of track detection. However, it is difficult and expensive to obtain labeled data from railways during operation. In this study, we used a segment of a high-speed railway track as the experimental object and deployed a distributed optical fiber acoustic system (DAS). We propose a track detection method that innovatively leverages semi-supervised deep learning based on image recognition, with a particular pre-processing for the dataset and a greedy algorithm for the selection of hyper-parameters. The superiority of the method was verified in both experiments and actual applications.

Selection of Construction Parameters in Heading Pre-Reinforcement Working Method for Liuyang River Tunnel on Wuhan-Guangzhou High-Speed Railway

2011 ◽  
Vol 361-363 ◽  
pp. 1730-1739
Author(s):  
Zhi Min Xiang ◽  
Ren Ai Yuan ◽  
Tai Yue Qi
Keyword(s):  
High Speed ◽  
Step Length ◽  
Wall Rock ◽  
Geological Condition ◽  
Reinforcement Density ◽  
High Speed Railway ◽  
Construction Methods ◽  
Core Soil ◽  
Working Method ◽  
Selection Of

The Liuyang River Tunnel on Wuhan-Guangzhou High-Speed Railway goes through the bottom of Liuyang River, the geological condition of which wall rock is not suitable for the construction. The paper proposes the heading pre-reinforcement method, namely pre-reinforcing core soil ahead of heading with fiberglass rockbolt in construction in order to optimize the construction methods and avoid both the deformation inside the tunnel and surface subsidence, and to ensure safety of tunnel construction. In order to determine the reasonable construction parameters, the paper obtains reinforcement density and length of fiberglass rockbolt, pre-reinforcement method on outline of heading, excavation step length and other construction parameters, by the numerical simulation, the indoor model tests and other methods, and analyzes its sensitivity. It is shown by the practices in construction that the selected parameters are reasonable and significantly effective, thus providing valuable experience for promotion and application of heading pre-reinforcement method.

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