A Railway Wheel Wear Prediction Tool based on a Multibody Software

The wheel wear prediction is a key-topic in the field of railway research as it has big impact on economical and safety aspects of trainset design, operation and maintenance. The aim of this work was to implement a flexible and pre-dictive railway wheel wear tool that, starting from a specific vehicle mission, provides the wheel profile evolution as a function of the distance run. The we-ar estimation tool consists of the use of a sequence of pre and post-processing packages, in which the methodologies now presented are implemented, inter-faced with a commercial multibody software that is used to study the railway dynamics. The computational tool is applied here to several simulation sce-narios. The purpose is to demonstrate its capabilities on wear prediction by evaluating the influence of trainset design and of track layout on the wheel wear growth. Special attention is also given to study how the wear evolution is affected by the friction conditions between the wheel and rail

A study on wear evaluation of railway wheels based on multibody dynamics and wear computation

The wear evolution of railway wheels is a very important issue in railway engineering. In the past, the reprofiling intervals of railway vehicle steel wheels have been scheduled according to designers' experience. Today, more reliable and accurate tools in predicting wheel wear evolution and wheelset lifetime can be used in order to achieve economical and safety benefits. In this work, a computational tool that is able to predict the evolution of the wheel profiles for a given railway system, as a function of the distance run, is presented. The strategy adopted consists of using a commercial multibody software to study the railway dynamic problem and a purpose-built code for managing its pre- and post-processing data in order to compute the wear. The tool is applied here to realistic operation scenarios in order to assess the effect of some service conditions on the wheel wear progression

Influence of track design and health conditions on the vehicle-track interaction loads

The geometry and quality of typical Conventional Lines (CL) and High Speed Lines (HSL) have a fundamental impact on the dynamics performance of the running vehicles and on the loads exchanged between the vehicle and the track. For a given service, a careful analysis of the operation conditions is required in order to design a track friendly vehicle. To this end, Alstom has developed and validated reliable simulations methodologies and tools for the analysis of the complex vehicle-track multi-physic systems. The use of simulation tools for the analysis of the influence of the mission profile of the train and the maintenance condition of the track, with some hints for improvement of maintenance criteria, will be the objective of this paper.info:eu-repo/semantics/publishedVersio

Impact of maintenance conditions of vehicle components on the vehicle–track interaction loads

To improve the efficiency and competitiveness of railway transport, passenger and freight trains should travel faster and have increased payload, without losing the necessary levels of running safety and ride comfort, as well as assuring low aggressiveness on track and minimising the life cycle costs. Hence, the manufacturer’s challenge consists of improving the dynamic performance of the railway vehicles and reducing the loads on the track as well as on the rolling stock components. These objectives can be achieved through optimizing the design of the vehicle, while taking into consideration that the characteristics of the vehicle and of the track may change over time and space, and that they depend on the maintenance conditions of the vehicle and of the infrastructure. This work proposes a computational methodology to study how the varying vehicle component characteristics, on normal and degraded conditions, impact on the vehicle/track interaction loads and on the track damage. The purpose of this study is to trace a path towards a realistic definition of a load mission profile for the structural fatigue dimensioning of the vehicle components. The assessment criteria and the evaluated quantities are defined according to the EN14363 regulation.info:eu-repo/semantics/publishedVersio

IJTC2008-71081 A NUMERICAL MODEL OF TWIN DISC TEST ARRANGEMENT FOR EVALUATING RAILWAY WHEEL WEAR PREDICTION ALGORITHMS

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