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Multiaxial fatigue reliability analysis of railroad wheels

Author

Listed:
  • Liu, Yongming
  • Liu, Liming
  • Stratman, Brant
  • Mahadevan, Sankaran

Abstract

A general methodology for fatigue reliability degradation of railroad wheels is proposed in this paper. Both fatigue crack initiation and crack propagation life are included in the proposed methodology using previously developed multiaxial fatigue models by the same authors. A response surface method in conjunction with design of experiments is used to develop a closed form approximation of the fatigue damage accumulation with respect to the input random variables. The total fatigue life of railroad wheels under stochastic loading is simulated, accounting for the spatial and temporal randomness of the fatigue damage. The field observations of railroad wheel fatigue failures are compared with the numerical predictions using the proposed methodology.

Suggested Citation

  • Liu, Yongming & Liu, Liming & Stratman, Brant & Mahadevan, Sankaran, 2008. "Multiaxial fatigue reliability analysis of railroad wheels," Reliability Engineering and System Safety, Elsevier, vol. 93(3), pages 456-467.
    • Handle: RePEc:eee:reensy:v:93:y:2008:i:3:p:456-467
    DOI: 10.1016/j.ress.2006.12.021
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    Cited by:

    1. Saeed Mohammadzadeh & Sodayf Ahadi & Hassan Keshavarzian, 2014. "Assessment of fracture reliability analysis of crack growth in spring clip type Vossloh SKL14," Journal of Risk and Reliability, , vol. 228(5), pages 460-468, October.
    2. Mattrand, C. & Bourinet, J.-M., 2014. "The cross-entropy method for reliability assessment of cracked structures subjected to random Markovian loads," Reliability Engineering and System Safety, Elsevier, vol. 123(C), pages 171-182.
    3. Chen, Jie & Yu, Yang & Liu, Yongming, 2022. "Physics-guided mixture density networks for uncertainty quantification," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    4. Lu, Yaohui & Zheng, Heyan & Zeng, Jing & Chen, Tianli & Wu, Pingbo, 2019. "Fatigue life reliability evaluation in a high-speed train bogie frame using accelerated life and numerical test," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 221-232.
    5. Lin, Jing & Pulido, Julio & Asplund, Matthias, 2015. "Reliability analysis for preventive maintenance based on classical and Bayesian semi-parametric degradation approaches using locomotive wheel-sets as a case study," Reliability Engineering and System Safety, Elsevier, vol. 134(C), pages 143-156.
    6. Leiva, Víctor & Ruggeri, Fabrizio & Saulo, Helton & Vivanco, Juan F., 2017. "A methodology based on the Birnbaum–Saunders distribution for reliability analysis applied to nano-materials," Reliability Engineering and System Safety, Elsevier, vol. 157(C), pages 192-201.

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