Vibration Characteristics and Fatigue Performance of Bogie Frame with Inner Axle Box for High-Speed Trains

With the continuous increase in high-speed train operation speeds, lightweight bogie design has become a key means to enhance dynamic performance, which also increases the risk of structural fatigue. High-frequency wheel–rail excitations are transmitted to the bogie frame and couple with its higher-order modes at around 200 Hz, inducing local high-frequency resonance. This coupling markedly increases the stress amplitude within the affected frequency range and accelerates vibration-induced fatigue damage. This study investigates the vibration fatigue characteristics of a bogie frame with an inner axle box under high-speed operation and wheel polygon wear conditions. Using a high-speed wheel–rail interaction test rig, dynamic stresses and the vibration acceleration of the bogie frame are measured under different speeds and polygon orders. Based on modal analysis and vibration fatigue methods, a high-frequency vibration fatigue assessment method for the bogie is developed. Wheel polygon significantly amplifies mid-to-high-frequency vibration energy, and for the bogie frame with an inner axle box, pronounced modal coupling is observed at around 200 Hz. In particular, under the 11th-order polygon condition, the equivalent stress at critical locations such as the traction motor seat weld seam exceeds the fatigue limit, while the effect of the 20th-order polygon is relatively mitigated. The proposed vibration fatigue assessment method provides a theoretical basis for the safe design and operational maintenance of high-speed trains with bogie frames with inner axle boxes.

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Publication Details

Journal
Machines
Published
2025-11-14
DOI
https://doi.org/10.3390/machines13111056
Citations
1
Primary Topic
Railway Engineering and Dynamics
Type
article
Field-Weighted Citation Impact
0.71
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article

Vibration Characteristics and Fatigue Performance of Bogie Frame with Inner Axle Box for High-Speed Trains

Yuedong Wang, Maorui Hou, Bingzhi Chen, Qi Dong et al.
1 citations
Machines
Railway Engineering and Dynamics
0.71
article

Vibration Characteristics and Fatigue Performance of Bogie Frame with Inner Axle Box for High-Speed Trains

Yuedong Wang, Maorui Hou, Bingzhi Chen, Qi Dong, Tao Guo, Guojie Cai
article en
1 citations

Abstract

With the continuous increase in high-speed train operation speeds, lightweight bogie design has become a key means to enhance dynamic performance, which also increases the risk of structural fatigue. High-frequency wheel–rail excitations are transmitted to the bogie frame and couple with its higher-order modes at around 200 Hz, inducing local high-frequency resonance. This coupling markedly increases the stress amplitude within the affected frequency range and accelerates vibration-induced fatigue damage. This study investigates the vibration fatigue characteristics of a bogie frame with an inner axle box under high-speed operation and wheel polygon wear conditions. Using a high-speed wheel–rail interaction test rig, dynamic stresses and the vibration acceleration of the bogie frame are measured under different speeds and polygon orders. Based on modal analysis and vibration fatigue methods, a high-frequency vibration fatigue assessment method for the bogie is developed. Wheel polygon significantly amplifies mid-to-high-frequency vibration energy, and for the bogie frame with an inner axle box, pronounced modal coupling is observed at around 200 Hz. In particular, under the 11th-order polygon condition, the equivalent stress at critical locations such as the traction motor seat weld seam exceeds the fatigue limit, while the effect of the 20th-order polygon is relatively mitigated. The proposed vibration fatigue assessment method provides a theoretical basis for the safe design and operational maintenance of high-speed trains with bogie frames with inner axle boxes.

MachinesVol. 13(11)
Tangshan College (CN), China Academy of Railway Sciences (CN), Dalian Jiaotong University (CN)
Openalex Percentile: Top 25%
Railway Engineering and Dynamics
0.71
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