Title of article :
Fatigue analysis of the railway wheels of the CRH2 high speed train due to random parameters
Author/Authors :
Lutema ، Mazuri Erasto Faculty of Transport Engineering and Technology - National Institute of Transport , Momhur ، Awel Mohammedseid African Railway Center of Excellence - Addis Ababa University-Ethiopia
From page :
207
To page :
218
Abstract :
The most crucial parts that literally sustain the safety of railroad rolling stock from the subfloor are the wheels. However, during operation, several random parameters can impair their performance, resulting in the train s unsafety. These unpredictable characteristics can lead to fatigue failure, especially in a CHR2 high-speed train. This study aims to analyse the fatigue life of railway wheels for the CHR2 high-speed train due to different random parameters. Three scenarios with random parameters were considered: suspension system, passenger weight, and train speed. A 3D wheel model created by CAD and analyzed with finite element software ANSYS and nCode to validate the model by applying static force. A railway vehicle-track dynamics model with a 30t axle load using the vehicle-track dynamics theory. Then Monte Carlo simulations performed to produce random samples of sensitive parameters and analyze their effect distributions on wheel -rail contact under random wheel parameters. The findings demonstrate that the random parameters of the suspension system have more negative effects on fatigue life compared to random passengers rsquo; weight and train speed, however, random passengers rsquo; weight has a less negative impact compared to random suspension and passenger weight. But also, the dynamic results stress analysis showed that the random suspension system parameters have a high maximum stress compared to the stress obtained from random passengers rsquo; weight and train speed. Moreover, the random suspension system parameters have high maximum stress compared to stress obtained from random passengers rsquo; weight and train speed.
Keywords :
Fatigue Life , Railway wheels , Random parameters , Finite element method , Dynamic analysis
Journal title :
Journal of Computational and Applied Research in Mechanical Engineering (JCARME)
Journal title :
Journal of Computational and Applied Research in Mechanical Engineering (JCARME)
Record number :
2766994
Link To Document :
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