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Probability estimation method for fatigue crack growth rate based on a ~ t data from service
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Niansheng Xi, Hongmin Xu
Railway Sciences | 2023, 2(3) : 347 - 357
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Railway Sciences | 2023, 2(3): 347-357
Research paper
Probability estimation method for fatigue crack growth rate based on a ~ t data from service
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Niansheng Xi, Hongmin Xu
Affiliations
  • Department of RD Center, China Academy of Railway Sciences Corporation Limited, Beijing, China
Published: 2023-09-10 doi: 10.1108/RS-04-2023-0021
Outline
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Purpose

The study aims to provide a basis for the effective use of safety-related information data and a quantitative assessment way for the occurrence probability of the safety risk such as the fatigue fracture of the key components.

Design/methodology/approach

The fatigue crack growth rate is of dispersion, which is often used to accurately describe with probability density. In view of the external dispersion caused by the load, a simple and applicable probability expression of fatigue crack growth rate is adopted based on the fatigue growth theory. Considering the isolation among the pairs of crack length a and crack formation time t (a~t data) obtained from same kind of structural parts, a statistical analysis approach of t distribution is proposed, which divides the crack length in several segments. Furthermore, according to the compatibility criterion of crack growth, that is, there is statistical development correspondence among a~t data, the probability model of crack growth rate is established.

Findings

The results show that the crack growth rate in the stable growth stage can be approximately expressed by the crack growth control curve da/dt = Q·a, and the probability density of the crack growth parameter Q represents the external dispersion; t follows two-parameter Weibull distribution in certain a values.

Originality/value

The probability density f(Q) can be estimated by using the probability model of crack growth rate, and a calculation example shows that the estimation method is effective and practical.

Crack growth  /  a~t data  /  Growth rate  /  Probability estimation
Niansheng Xi, Hongmin Xu. Probability estimation method for fatigue crack growth rate based on a ~ t data from service[J]. Railway Sciences, 2023 , 2 (3) : 347 -357 . DOI: 10.1108/RS-04-2023-0021
  • the China National Railway Group Co., Ltd. Research and Development Project(N2022T008)
Year 2023 volume 2 Issue 3
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Article Info
doi: 10.1108/RS-04-2023-0021
  • Receive Date:2023-05-05
  • Online Date:2026-06-11
  • Published:2023-09-10
Article Data
Affiliations
History
  • Received:2023-05-05
  • Revised:2023-06-14
  • Accepted:2023-06-27
Funding
the China National Railway Group Co., Ltd. Research and Development Project(N2022T008)
Affiliations
    Department of RD Center, China Academy of Railway Sciences Corporation Limited, Beijing, China

Corresponding:

Hongmin Xu can be contacted at:
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表12种不同金属材料的力学参数

Family
属数
Number of
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种数
Number of
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占总种数比例
Percentage of
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Genus
种数
Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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