T R A C K       P A P E R
ISSN:2394-3661 | Crossref DOI | SJIF: 5.138 | PIF: 3.854

International Journal of Engineering and Applied Sciences

(An ISO 9001:2008 Certified Online and Print Journal)

Fatigue Strength Analysis of the Bogie Frame for the CRH2 High-Speed Train in Consideration of Uncertainty Parameters

( Volume 9 Issue 12,December 2022 ) OPEN ACCESS
Author(s):

Mazuri Erasto Lutema, Awel Mohammedseid

Keywords:

Bogie frame, Fatigue strength, CHR2, Fatigue life, Uncertainty parameters

Abstract:

The bogie frame is the base for carrying and transferring forces from many structural parts in the running gear of a train. Its reliability plays an important role in the safety and stability of train operations. However, during operation, uncertainty parameters affect its performance, and the evaluation of its structural reliability is essentially to check the structural strength and fatigue strength after facing uncertainty parameters. Those random parameters can cause fatigue failure, especially in a CHR2 high-speed train. Therefore, it is more important to accurately evaluate the fatigue strength of the frame due to uncertainty parameters than the structural strength. At present, the research on the fatigue strength of bogie frames is mainly based on two aspects: dynamics and statics. In dynamics-based research, the dynamic model of the multi-rigid-body system of the vehicle body is established by analyzing the irregularity of the track line, and the load history of the vehicle suspension system is obtained. On this basis, the dynamic analysis and stress evaluation of the bogie are carried out, and the fatigue life of the bogie is predicted according to the cumulative damage based on uncertainty parameters. In this study, three cases were considered for uncertainty parameters: suspension system, passenger weight, and wind force. The results show that the uncertainty of suspension systems has a shorter fatigue life cycle, which implies that it has more negative effects compared to other uncertainty parameters.

DOI DOI :

https://dx.doi.org/10.31873/IJEAS.9.12.02

Paper Statistics:

Total View : 244 | Downloads : 235 | Page No: 1-10 |

Cite this Article:
Click here to get all Styles of Citation using DOI of the article.