Optimize Energy of Train Simulation with Track Slope Data

2015 ◽  
Author(s):  
Sy-Ruen Huang ◽  
Hung-Kang Sung ◽  
Chuan-Hsun Ma
Keyword(s):  
Train Simulation

Integrated Methodology for Investigation of Wagon Bogie Concepts by Simulation

2014 ◽  
Author(s):  
S. S. N. Ahmad ◽  
C. Cole ◽  
M. Spiryagin ◽  
Y. Q. Sun
Keyword(s):  
Dynamic Behaviour ◽  
Simulation Software ◽  
Dynamics Simulation ◽  
Concept Design ◽  
Multibody Simulation ◽  
Worst Case ◽  
Multibody Model ◽  
Second Stage ◽  
Force Components ◽  
Train Simulation

Implementation of a new bogie concept is an integrated part of the vehicle design which must follow a rigorous testing and validation procedure. Use of multibody simulation helps to reduce the amount of time and effort required in selecting a new concept design by analysing results of simulated dynamic behaviour of the proposed design. However, the multibody simulation software mainly looks at the dynamics of a single vehicle; hence, forces from the train configuration operational dynamics are often absent in such simulations. Effects of longitudinal-lateral and longitudinal-vertical interactions between rail vehicles have been found to affect the stability of long trains [1,2]. The effect of wedge design on the vertical dynamics of a bogie has also been discussed in [3,4]. It is important to apply the lateral and vertical forces from a train simulation into a single multibody model of a wagon to check its behaviour when operating in train configuration. In this paper, a novel methodology for the investigation of new bogie designs has been proposed based on integrating dynamic train simulation and the multibody vehicle modelling concept that will help to efficiently achieve the most suitable design of the bogie. The proposed methodology suggests that simulation of any configuration of bogie needs to be carried out in three stages. As the first stage, the bogie designs along with the wagon configurations need to be presented as a multibody model in multibody simulation software to test the suitability of the concept. The model checking needs to be carried out in accordance with the wagon model acceptance procedure established in [5]. As the second stage, the wagon designs need to be tested in train configurations using a longitudinal train dynamics simulation software such as ‘CRE-LTS’ [2], where a train set consisting of the locomotives and wagons will be simulated to give operational wagon parameters such as lateral and vertical coupler force components. As the third stage, the detailed dynamic analysis of bogies and wagons needs to be performed with a multibody software such as ‘Gensys’ where lateral and vertical coupler force components from the train simulation (second stage) will be applied on the multibody model to replicate the worst case scenario. The proposed methodology enhances the selection procedure of any alternate bogie concept by the application of simulated train and vehicle dynamics. The simulated case studies show that simulation of wagon dynamic behaviour in multibody software combined with data obtained from longitudinal train simulation is not only possible, but it can identify issues with a bogie design that can otherwise be overlooked.

Long train simulation using a multibody code

2016 ◽  
Vol 55 (4) ◽  
pp. 552-570 ◽  
Author(s):  
N. Bosso ◽  
N. Zampieri
Keyword(s):  
Train Simulation

Multi-conductor model for AC railway train simulation

2016 ◽  
Vol 6 (2) ◽  
pp. 67-75 ◽  
Author(s):  
Yao Chen ◽  
Stuart Hillmansen ◽  
Roger White ◽  
Paul Weston ◽  
Tony Fella
Keyword(s):  
Train Simulation

Characteristics of Train Wind and Analysis of Personnel Safety in Double-Line Shield Tunnel

2013 ◽  
Vol 444-445 ◽  
pp. 264-269 ◽  
Author(s):  
Rui Zhen Fei ◽  
Li Min Peng ◽  
Cheng Hua Shi ◽  
Wei Chao Yang
Keyword(s):  
Stokes Equations ◽  
Three Dimensional ◽  
Time History ◽  
Space Distribution ◽  
Navier Stokes ◽  
Shield Tunnel ◽  
Navier Stokes Equations ◽  
Double Line ◽  
Personnel Safety ◽  
Train Simulation

Based on the three-dimensional incompressible Navier - Stokes equations and the standard turbulent model, this paper develops a tunnel-air-train simulation model. Time-history variation rules and space distribution characteristics of train wind are studied at 200km per hour, and safety avoidance distance on evacuation passageways is further discussed. The results show that: Train wind is complex three-dimensional flow which is changed with time and space, since personnel safety may be threatened by train wind. Therefore, effective measures should be taken to avoid accidents.

scholarly journals Improved train simulation with speed control algorithm

2019 ◽  
Vol 40 ◽  
pp. 1563-1570
Author(s):  
Pavel Sovicka ◽  
Matej Pacha ◽  
Pavol Rafajdus ◽  
Patrik Varecha ◽  
Simon Zossak
Keyword(s):  
Control Algorithm ◽  
Speed Control ◽  
Train Simulation

Research on Virtual Reality Sound Effects for High-Speed Train Simulation System

2012 ◽  
Vol 7 (8) ◽  
Author(s):  
Ruidan Su ◽  
Kunlin Zhang ◽  
Weiwei Yan ◽  
Zhandong Zhao ◽  
Huaiyu Xu ◽  
...  
Keyword(s):  
Virtual Reality ◽  
High Speed ◽  
Simulation System ◽  
High Speed Train ◽  
Sound Effects ◽  
Train Simulation

LES Study of the Influence of a Train-Nose Shape on the Flow Structures Under Cross-Wind Conditions

2008 ◽  
Vol 130 (9) ◽  
Author(s):  
Hassan Hemida ◽  
Siniša Krajnović
Keyword(s):  
High Speed ◽  
Pressure Coefficient ◽  
Three Dimensional ◽  
Flow Patterns ◽  
Surface Flow ◽  
Flow Structures ◽  
Local Pressure ◽  
Freestream Velocity ◽  
Train Simulation ◽  
Long Nose

Cross-wind flows around two simplified high-speed trains with different nose shapes are studied using large-eddy simulation (LES) with the standard Smagorinsky model. The Reynolds number is 3×105 based on the height of the train and the freestream velocity. The cross section and the length of the two train models are identical while one model has a nose length twice that of the other. The three-dimensional effects of the nose on the flow structures in the wake and on the aerodynamic quantities such as lift and side force coefficients, flow patterns, local pressure coefficient, and wake frequencies are investigated. The short-nose train simulation shows highly unsteady and three-dimensional flow around the nose yielding more vortex structures in the wake. These structures result in a surface flow that differs from that in the long-nose train flow. They also influence the dominating frequencies that arise due to the shear-layer instabilities. Prediction of vortex shedding, flow patterns in the train surface, and time-averaged pressure distribution obtained from the long-nose train simulation are in good agreement with the available experimental data.

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