Investigation into a Simplified Dynamic Analysis for Simple Span High-Speed Rail Structures

2017 ◽  
Author(s):  
Scott H. Henning ◽  
Ken Lee
Keyword(s):  
Dynamic Analysis ◽  
High Speed ◽  
High Speed Rail

scholarly journals The Effect of Pendolino high-speed rail on the structure of buildings located in the proximity of railway tracks

2016 ◽  
Vol 21 (1) ◽  
pp. 231-238
Author(s):  
K. Grębowski ◽  
Z. Ulman
Keyword(s):  
Dynamic Analysis ◽  
High Speed ◽  
Building Structure ◽  
High Speed Train ◽  
High Speed Rail ◽  
Railway Tracks ◽  
High Speed Trains ◽  
Railway System ◽  
The Subject ◽  
The Impact

Abstract The following research focuses on the dynamic analysis of impact of the high-speed train induced vibrations on the structures located near railway tracks. The office complex chosen as the subject of calculations is located in the northern part of Poland, in Gdańsk, in the proximity of Pendolino, the high speed train route. The high speed trains are the response for the growing needs for a more efficient railway system. However, with a higher speed of the train, the railway induced vibrations might cause more harmful resonance in the structures of the nearby buildings. The damage severity depends on many factors such as the duration of said resonance and the presence of additional loads. The studies and analyses helped to determinate the method of evaluating the impact of railway induced vibrations on any building structure. The dynamic analysis presented in the research is an example of a method which allows an effective calculation of the impact of vibrations via SOFISTIK program.

scholarly journals Vehicle Bridge Interaction in High-Speed Rail Corridors

2021 ◽  
Vol 9 (8) ◽  
pp. 2268-2278
Author(s):  
Jitendra Rastogi
Keyword(s):  
Dynamic Analysis ◽  
High Speed ◽  
Vehicle Speed ◽  
High Speed Rail ◽  
Activity Increase ◽  
Transit System ◽  
Rail Network ◽  
Bridge Superstructure ◽  
Design Speed ◽  
Indian Railway

Abstract: In this paper, our aim is to establish that Dynamic impact factor (DIF) is not only dependent on the span and type of the bridge but also dependent upon speed of the train and distance between axles of the train as well. Our current code i.e. Indian Railway Standards specify that DIF or Coefficient of Dynamic Augment (CDA) is dependent on span length and type of bridge but it is applicable for design speed up to 160 kmph. For any speed greater than that CDA shall need to be computed as per the dynamic analysis as per available international codes. As mentioned earlier that there is imminent need of high-speed rail network in India due to increase in economic activity, increase in travel choices, improvement in mobility, reduction in congestion and to boost productivity. Our objective of this project is to study dynamic response of a various types of bridges under high speed trains currently being used in India for high speed rail projects like RRTS (Delhi to Meerut and other corridors) and High speed rail project from Mumbai to Ahmedabad to accurately assess the DIF in bridges under the effect of different governing factors (vehicle speed, vehicle load, bridge superstructure type, etc). This study could be beneficial in upcoming projects of high-speed rail as it is our future need. This study is based on the current semi-high-speed rail network i.e. Delhi Meerut Rapid Rail Transit System (RRTS) being constructed and other corridors are to be implemented. Design speed of this project is 180 kmph hence existing IRS codal provision for DIF cannot be used, therefore, dynamic analysis is needed to establish the DIF. Dynamic analysis has been carried out with two types of boggie length i.e. 21.34m and 22.34m. In this project, we have started with the understanding of dynamic analysis by mentioning various codal provisions and parameters influencing the DIF. Subsequently, procedures for computation of dynamic analysis for given superstructure, loading, train type, span, etc have been explained including the modelling part. Last part of this study covers the dynamic analysis of various types of superstructure for given data

Research on Prediction of High-Speed Rail Trains Delay Time

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Jing Shi ◽  
Qiyuan Peng ◽  
Ling Liu
Keyword(s):  
Delay Time ◽  
High Speed ◽  
High Speed Rail

THE HIGH-SPEED RAIL HANDBOOK: A TECHNICAL GUIDE1

2018 ◽  
Vol 8 (3) ◽  
pp. 515-530
Author(s):  
Massimo Zucchetti1,2 ◽  
◽  
Keyword(s):  
High Speed ◽  
High Speed Rail

High-Speed Rail Networks, Capacity Investments and Social Welfare

2019 ◽  
Author(s):  
Valentina Bracaglia ◽  
Tiziana D'Alfonso ◽  
Alberto Nastasi ◽  
Dian Sheng ◽  
Yulai Wan ◽  
...  
Keyword(s):  
Social Welfare ◽  
High Speed ◽  
High Speed Rail

The Impact of High-Speed Rail on the Spatial Structure of Chinese Urban Agglomerations

2020 ◽  
Vol 46 (3) ◽  
pp. 379-397
Author(s):  
Chunyang Wang
Keyword(s):  
High Speed ◽  
River Delta ◽  
City Size ◽  
High Speed Rail ◽  
Local Conditions ◽  
Urban Agglomerations ◽  
Large Cities ◽  
Spatial Systems ◽  
Economic Concentration ◽  
The Impact

This paper measures the spatial evolution of urban agglomerations to understand be er the impact of high-speed rail (HSR) construction, based on panel data from fi ve major urban agglomerations in China for the period 2004–2015. It is found that there are signi ficant regional diff erences of HSR impacts. The construction of HSR has promoted population and economic diff usion in two advanced urban agglomerations, namely the Yang e River Delta and Pearl River Delta, while promoting population and economic concentration in two relatively less advanced urban agglomerations, e.g. the middle reaches of the Yang e River and Chengdu–Chongqing. In terms of city size, HSR promotes the economic proliferation of large cities and the economic concentration of small and medium-sized cities along its routes. HSR networking has provided a new impetus for restructuring urban spatial systems. Every region should optimize the industrial division with strategic functions of urban agglomeration according to local conditions and accelerate the construction of inter-city intra-regional transport network to maximize the eff ects of high-speed rail across a large regional territory.

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