Template Driven Conceptual Design of High Speed Trains

2014 ◽  
Author(s):  
Varun Gopinath ◽  
Mehdi Tarkian ◽  
Johan Ölvander ◽  
William Gaziza
Keyword(s):  
Conceptual Design ◽  
Multidisciplinary Design Optimization ◽  
High Speed ◽  
Primary Objective ◽  
High Fidelity ◽  
Support Design ◽  
Rigorous Approach ◽  
Knowledge Based ◽  
High Speed Trains ◽  
High Level

Conceptual design of multidisciplinary systems begins with a description of requirements and proceeds with a solution at a high abstraction level. A systematic and rigorous approach is required to evaluate complex systems and can be achieved by mapping the interactions between disciplines. Research has shown that the use of geometry in the early stages act as enablers for high fidelity analyses as required information can be extracted from the model. In the paper, Knowledge Based Engineering is used with the aim of managing the added complexity as it supports design automation and reuse. This article describes a configuration tool, which allows for quick generation of train geometry using High Level CAD Templates. The tool was created as part of a research project, with the primary objective of the development of a robust framework for a Multidisciplinary Design Optimization process which can support design of high-speed trains.

Optimization of high-level preventive maintenance scheduling for high-speed trains

2019 ◽  
Vol 183 ◽  
pp. 261-275 ◽  
Author(s):  
Boliang Lin ◽  
Jianping Wu ◽  
Ruixi Lin ◽  
Jiaxi Wang ◽  
Hui Wang ◽  
...  
Keyword(s):  
Preventive Maintenance ◽  
High Speed ◽  
Maintenance Scheduling ◽  
High Speed Trains ◽  
High Level

scholarly journals Active Control of Contact Force for a Pantograph-Catenary System

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Jiqiang Wang
Keyword(s):  
Active Control ◽  
Contact Force ◽  
High Speed ◽  
Large Scale ◽  
Vibration Suppression ◽  
Numerical Study ◽  
Primary Objective ◽  
Geometric Framework ◽  
High Speed Trains ◽  
Catenary System

The performance of the high speed trains depends critically on the quality of the contact in the pantograph-catenary interaction. Maintaining a constant contact force needs taking special measures and one of the methods is to utilize active control to optimize the contact force. A number of active control methods have been proposed in the past decade. However, the primary objective of these methods has been to reduce the variation of the contact force in the pantograph-catenary system, ignoring the effects of locomotive vibrations on pantograph-catenary dynamics. Motivated by the problems in active control of vibration in large scale structures, the author has developed a geometric framework specifically targeting the remote vibration suppression problem based only on local control action. It is the intention of the paper to demonstrate its potential in the active control of the pantograph-catenary interaction, aiming to minimize the variation of the contact force while simultaneously suppressing the vibration disturbance from the train. A numerical study is provided through the application to a simplified pantograph-catenary model.

Battery Self-Traction System for High-Speed Trains

2020 ◽  
Vol 140 (5) ◽  
pp. 349-355
Author(s):  
Hirokazu Kato ◽  
Kenji Sato
Keyword(s):  
High Speed ◽  
High Speed Trains ◽  
Traction System

Development of Magnesium Alloys for High Speed Trains in China

2016 ◽  
pp. 7-8
Author(s):  
Eric Nyberg ◽  
Jian Peng ◽  
Neale R. Neelameggham
Keyword(s):  
Magnesium Alloys ◽  
High Speed ◽  
High Speed Trains

Iterative Learning Operation Control of High-Speed Trains With Adhesion Dynamics

2021 ◽  
pp. 1-11
Author(s):  
Deqing Huang ◽  
Wanqiu Yang ◽  
Tengfei Huang ◽  
Na Qin ◽  
Yong Chen ◽  
...  
Keyword(s):  
High Speed ◽  
Iterative Learning ◽  
High Speed Trains ◽  
Operation Control

scholarly journals Getting High: High Fidelity Simulation of High Granularity Calorimeters with High Speed

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Erik Buhmann ◽  
Sascha Diefenbacher ◽  
Engin Eren ◽  
Frank Gaede ◽  
Gregor Kasieczka ◽  
...  
Keyword(s):  
Particle Physics ◽  
High Speed ◽  
Deep Neural Networks ◽  
High Fidelity ◽  
High Fidelity Simulation ◽  
Physical Processes ◽  
Electromagnetic Showers ◽  
Information Bottleneck ◽  
First Time ◽  
Processing Network

AbstractAccurate simulation of physical processes is crucial for the success of modern particle physics. However, simulating the development and interaction of particle showers with calorimeter detectors is a time consuming process and drives the computing needs of large experiments at the LHC and future colliders. Recently, generative machine learning models based on deep neural networks have shown promise in speeding up this task by several orders of magnitude. We investigate the use of a new architecture—the Bounded Information Bottleneck Autoencoder—for modelling electromagnetic showers in the central region of the Silicon-Tungsten calorimeter of the proposed International Large Detector. Combined with a novel second post-processing network, this approach achieves an accurate simulation of differential distributions including for the first time the shape of the minimum-ionizing-particle peak compared to a full Geant4 simulation for a high-granularity calorimeter with 27k simulated channels. The results are validated by comparing to established architectures. Our results further strengthen the case of using generative networks for fast simulation and demonstrate that physically relevant differential distributions can be described with high accuracy.

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