• Title/Summary/Keyword: High Train

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The Conceptual Design of Korea High Speed Train System (한국형 고속전철 차량시스템의 개념설계)

  • 김경택;정경렬
    • Proceedings of the KSR Conference
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    • 1999.11a
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    • pp.172-180
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    • 1999
  • The major subject of this paper is to develop the concept fur a Korea high speed train system and recommend to train configuration. High speed train configurations are basically concerned traction power(train configurations with concentrated; CPT or distributed Power system: DPT) and train design(single car as compared with articulated bogies). The result of configuration, a advantages and disadvantaged were necessitated by different train configurations; -distributed underfloor power have an increased length for the seats by 15% as compared with the concentrated power trait - articulated trainsets are characterised by less of number of bogies and reduced values of mass, train resistance, noise and vibration. from the result, the optimized train concept combining high seat capacity per train length with low weight and train resistance is 400m long, single -floor train composed of two symmetrically arranged half trainsets. Therefore, at this work recommended distributed train system However, the final decision of Korea high speed train configuration was concentrated power train and articulated bogie system. The configuration of trainset was 20cars included 2 power cars, 4 motorized cars and 14 trailer cars.

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U sing Artificial Intelligence in the Configuration Design of a High-Speed Train (인공신경망을 이용한 고속철도의 최고속도 예측과 구성설계)

  • 이장용;한순흥
    • Korean Journal of Computational Design and Engineering
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    • v.8 no.4
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    • pp.222-230
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    • 2003
  • Artificial intelligence has been used in the configuration design stage of high-speed train. The traction system of a high-speed train is composed of transformers, motor blocks, and traction motors of which locations and number in the trainset should be determined in the early stage of the train conceptual design. Components of the traction system are heavy parts in the train, so it gives strong influence to the top speeds and overall train configuration of high-speed trains. Top speeds have been predicted using the neural network with the associated data of the traction system. The neural networks have been learned with data sets of many commercially operated high-speed trains, and the predicted results have been compared with the actual values. The configuration design of the train set of a high-speed train determines the basic specification of the train and layout of the traction system. The neural networks is a useful design tool when there is not sufficient data for the configuration design and we need to use the existing data of other train for the prediction of trainset in development.

The Study for Speed-up of Main Line by High Speed Train (기존선의 고속전철 연계운용으로 고속화 방안)

  • 박광복
    • Proceedings of the KSR Conference
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    • 2001.05a
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    • pp.105-113
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    • 2001
  • This report was studied about speed-up for main line of KNR(Korea National Railroad) by High Speed Train. The maximum speed of Kyun-Pu line was recorded a 140km/h by Saemaul train in 1985 and the average speed its is a 107km/h now. For operation KTX Kyun-Pu High Speed Train and G7 Korea High Speed Train in KNR line, this report was studied about operation status of High Speed Train in advanced countries, operation situation of train in KNR line and plan of speed-up for main line.

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Running safety of metro train over a high-pier bridge subjected to fluctuating crosswind in mountain city

  • Zhang, Yunfei;Li, Jun;Chen, Zhaowei;Xu, Xiangyang
    • Structural Engineering and Mechanics
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    • v.76 no.2
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    • pp.207-222
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    • 2020
  • Due to the rugged terrain, metro lines in mountain city across numerous wide rivers and deep valleys, resulting in instability of high-pier bridge and insecurity of metro train subjected to fluctuating crosswind. To ensure the safe operation in metro lines in mountain cities, running safety of the metro train over the high-pier bridge under crosswind is analyzed in this paper. Firstly, the dynamic model of the wind-train-bridge (WTB) system is built, in which the speed-up effect of crosswind is fully considered. On the basis of time domain analysis, the basic characteristics of the WTB system with high-pier are analyzed. Afterwards, the dynamic responses varies with train speed and wind speed are calculated, and the safety zone of metro train over a high-pier bridge subjected to fluctuating crosswind in mountain city is determined. The results indicate that, fluctuating crosswind triggers drastic vibration to the metro train and high-pier bridges, which in turn causes running instability of the train. For this reason, the corresponding safety zone for metro train running on the high-pier is proposed, and the metro traffic on the high-pier bridge should be closed as the mean wind speed of standard height reaches 9 m/s (15.6 m/s for the train).

A Study of Systematization for Train Control Technique (열차제어기술 체계화 방안에 대한 연구)

  • Lee, Jae-Ho;Shin, Duc-Ko;Lee, Kang-Mi
    • Proceedings of the KSR Conference
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    • 2009.05a
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    • pp.2010-2016
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    • 2009
  • Before introducing high speed train, train signal system was operated passively depending on a driver by signal lamp display. Now it is changing to onboard signaling system because of train speed increased(conventional track is 230km/h, high speed track is 380km/h), high speed. low speed freight train operation mixed, operation for high speed train in conventional track and dense operation. ie. ETCS(European Train Control System) Level 1 is introducing. Also, in case of high speed train, the train control system of France was introduced and has operated from 2004, now we have a difficulty for rising speed more than 300km/h because of commercial operation speed limited as 300km/h. Therefore, it need to establish the train control technique according to trackside surroundings and develope standard system like European ERTMS/ETCS, China CTCS(Chinese Train Control System), Japan D-ATC(Digital Automatic Train Control). In this paper, we derive the systematization method for Korea train technique by network-oriented, information-oriented, intelligence-oriented and combination-oriented corresponding train development direction. Proposed method has a merit to prevent cross by mixed operation with existing system and improvement after validity demonstration and system development and supply train system to meet user requirement in exporting.

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A Comparative Study on Crashworthiness for Motorized Trailer of Korean High Speed Train in planing (한국형 고속전철 동력객차 설계초안 모델의 충돌특성 비교연구)

  • 김헌영;이종근
    • Proceedings of the KSR Conference
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    • 1999.11a
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    • pp.534-541
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    • 1999
  • The purpose of this study is to suggest the effective analytical procedure using finite element model for the crashworthiness of motorized trailer of high speed train. In the analysis of end-on collision of Motorized Trailer for Korean High Speed Train., deformed pattern, rigidwall force, internal energy and each part section force is obtained. From those indices, we evaluate crashworthiness of motorized trailer for Korean High Speed Train in planning. The numerical results are applied to the design of motorized trailer of Korean high speed train.

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VCB Control Algorithm Verifications of Korean High Speed Train (한국형 고속전철의 VCB 제어 알고리즘 검증)

  • Jeon, J.W.;Jeong, P.K.;Lee, J.H.;Park, D.Y.;Kim, Y.J.;Lee, B.S.
    • Proceedings of the KIEE Conference
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    • 2000.07b
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    • pp.1362-1364
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    • 2000
  • This paper presents the control algorithm verification process for VCB (Vacuum Circuit Breaker) of Korean High Speed Train. In order to enhance the reliability of the control algorithm, the verification process must be performed. The verification is conducted by comparing the pre-designed control algorithm with the pre-planned scenario by simulation tools such as SDL and MSC. This verification process will be applied to the other control algorithms of various control units of Korean High Speed Train.

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Modelling the multi-physics of wind-blown sand impacts on high-speed train

  • Zhang, Yani;Jiang, Chen;Zhan, Xuhe
    • Wind and Structures
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    • v.32 no.5
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    • pp.487-499
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    • 2021
  • The wind-blown sand effect on the high-speed train is investigated. Unsteady RANS equation and the SST k-ω turbulent model coupled with the discrete phase model (DPM) are utilized to simulate the two-phase of air-sand. Sand impact force is calculated based on the Hertzian impact theory. The different cases, including various wind velocity, train speed, sand particle diameter, were simulated. The train's flow field characteristics and the sand impact force were analyzed. The results show that the sand environment makes the pressure increase under different wind velocity and train speed situations. Sand impact force increases with the increasing train speed and sand particle diameter under the same particle mass flow rate. The train aerodynamic force connected with sand impact force when the train running in the wind-sand environment were compared with the aerodynamic force when the train running in the pure wind environment. The results show that the head car longitudinal force increase with wind speed increasing. When the crosswind speed is larger than 35m/s, the effect of the wind- sand environment on the train increases obviously. The longitudinal force of head car increases 23% and lateral force of tail increases 12% comparing to the pure wind environment. The sand concentration in air is the most important factor which influences the sand impact force on the train.

Dynamics of high-speed train in crosswinds based on an air-train-track interaction model

  • Zhai, Wanming;Yang, Jizhong;Li, Zhen;Han, Haiyan
    • Wind and Structures
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    • v.20 no.2
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    • pp.143-168
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    • 2015
  • A numerical model for analyzing air-train-track interaction is proposed to investigate the dynamic behavior of a high-speed train running on a track in crosswinds. The model is composed of a train-track interaction model and a train-air interaction model. The train-track interaction model is built on the basis of the vehicle-track coupled dynamics theory. The train-air interaction model is developed based on the train aerodynamics, in which the Arbitrary Lagrangian-Eulerian (ALE) method is employed to deal with the dynamic boundary between the train and the air. Based on the air-train-track model, characteristics of flow structure around a high-speed train are described and the dynamic behavior of the high-speed train running on track in crosswinds is investigated. Results show that the dynamic indices of the head car are larger than those of other cars in crosswinds. From the viewpoint of dynamic safety evaluation, the running safety of the train in crosswinds is basically controlled by the head car. Compared with the generally used assessment indices of running safety such as the derailment coefficient and the wheel-load reduction ratio, the overturning coefficient will overestimate the running safety of a train on a track under crosswind condition. It is suggested to use the wheel-load reduction ratio and the lateral wheel-rail force as the dominant safety assessment indices when high-speed trains run in crosswinds.

Analysis of the Effect of Wind on the Dynamic Behavior of High Speed Train (바람이 고속전철의 동적 안전성에 미치는 영향 분석)

  • 김영국;박찬경;박태원;배대성
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.11 no.8
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    • pp.349-356
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    • 2001
  • The dynamic behavior of high speed train is very Important because the railway should be safe and Is satisfied tilth the rode comfort of passengers. The train is composed of many suspension components. such as 1st springs, 1st dampers, 2nd springs and 2nd dampers, that have an influence on the dynamic characteristics of high speed train. Also, the wheel/rail shapes, the track conditions and geometry and many environmental factors, such as rain, snow and wind. affect the dynamic behavior of high speed train. This paper reviews the effect of wind and track conditions on the dynamic behavior of high speed train. The VAMPIRE program Is used for this simulation. The result of simulation shows that the high speed train should not be operated when the wind velocity is beyond 34.5 m/sec.

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