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October 15, 2025Scientific Reports4 citationsOpen Access

Fatigue damage assessment of bogie frame based on an improved nonlinear cumulative damage model

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QXQian XiaoMZMingkang ZhangCCChao Chang

Key Points

  • The improved model predicts fatigue life more accurately by addressing load interactions and structural degradation.
  • Modification of the traditional Manson-Halford model incorporates degradation parameters to enhance life predictions.
  • Testing against standard specimen fatigue data confirmed the improved model's predictive accuracy under complex load conditions.
  • Application in engineering shows practical benefits of the improved model for assessing bogie frame durability.

Abstract

The structural damage of rail vehicle bogie frames is mostly caused by fatigue cumulative damage under the action of multi-level complex loads. Under complex loads, the sequence effect and coupling effect between loads have a significant impact on structural fatigue damage. Meanwhile, the performance degradation of components during service also affects the damage accumulation and the remaining life of the structure. Traditional linear cumulative damage models and the Manson-Halford model ignore the influences of load sequence effect, load interaction, and structural degradation on fatigue life, leading to inaccurate remaining life predictions. By introducing degradation parameters to modify the Manson-Halford model, an improved nonlinear cumulative damage model is proposed, and its accuracy is verified by combining standard specimen fatigue test data. Finally, the improved cumulative damage model was applied to engineering practice in engineering to predict and evaluate the fatigue life of bogie frames.

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Cite This Study

Xiao et al. (2025) studied this question.

synapsesocial.com/papers/68efbd16d61273c8652d7ee9https://doi.org/10.1038/s41598-025-19435-3
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