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Investigation on smoothed finite element methods using linear tetrahedral elements for high-speed train hollow axle strength analysis.

Authors :
Jiang, Chen
Odibelu, Ekene Paul
Zhou, Guo
Source :
Engineering Computations. 2023, Vol. 40 Issue 9/10, p2174-2194. 21p.
Publication Year :
2023

Abstract

Purpose: This paper aims to investigate the performance of two novel numerical methods, the face-based smoothed finite element method (FS-FEM) and the edge-based smoothed finite element method (ES-FEM), which employ linear tetrahedral elements, for the purpose of strength assessment of a high-speed train hollow axle. Design/methodology/approach: The calculation of stress for the wheelset, comprising an axle and two wheels, is facilitated through the application of the European axle strength design standard. This standard assists in the implementation of loading and boundary conditions and is exemplified by the typical CRH2 high-speed train wheelset. To evaluate the performance of these two methods, a hollow cylinder cantilever beam is first used as a benchmark to compare the present methods with other existing methods. Then, the strength analysis of a real wheelset model with a hollow axle is performed using different numerical methods. Findings: The results of deflection and stress show that FS-FEM and ES-FEM offer higher accuracy and better convergence than FEM using linear tetrahedral elements. ES-FEM exhibits a superior performance to that of FS-FEM using linear tetrahedral elements, showing accuracy and convergence close to FEM using hexahedral elements. Originality/value: This study channels the novel methods (FS-FEM and ES-FEM) in the static stress analysis of a railway wheelset. Based on the careful testing of FS-FEM and ES-FEM, both methods hold promise as more efficient tools for the strength analysis of complex railway structures. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02644401
Volume :
40
Issue :
9/10
Database :
Academic Search Index
Journal :
Engineering Computations
Publication Type :
Academic Journal
Accession number :
174019183
Full Text :
https://doi.org/10.1108/EC-12-2022-0725