Probabilistic fretting fatigue life prediction of Ti–6Al–4V

A probabilistic analysis of the fatigue life of specimens subject to fretting fatigue was developed. A mechanics based fretting life analysis was applied that employed the local stress gradient at the edge of contact. The random variables in the analysis included the initial crack size, coefficient...

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Bibliographic Details
Published inInternational journal of fatigue Vol. 32; no. 12; pp. 1937 - 1947
Main Authors Golden, Patrick J., Millwater, Harry R., Yang, Xiaobin
Format Journal Article
LanguageEnglish
Published Kidlington Elsevier Ltd 01.12.2010
Elsevier
Subjects
Applied sciences
Contact
Crack propagation
Exact sciences and technology
Fatigue
Fatigue (materials)
Fatigue life
Fretting fatigue
Mathematical analysis
Mechanical properties and methods of testing. Rheology. Fracture mechanics. Tribology
Metals. Metallurgy
Monte Carlo methods
Probabilistic analysis
Probabilistic methods
Probabilistic sensitivities
Probability theory
Statistics
Probabilistic analysis
Fretting fatigue
Crack propagation
Probabilistic sensitivities
Fatigue life
Lifetime
Probabilistic approach
Prediction
Mechanical properties
Aluminium alloy
Vanadium alloy
Titanium base alloys
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Summary:A probabilistic analysis of the fatigue life of specimens subject to fretting fatigue was developed. A mechanics based fretting life analysis was applied that employed the local stress gradient at the edge of contact. The random variables in the analysis included the initial crack size, coefficient of friction, partial slip slope, crack growth rate law, and the contact pad profile. The variation in pad profiles was determined through measurement of 77 machined pads. Distributions for the other random variables were obtained using previously generated test data. A probabilistic fatigue analysis was applied using Monte Carlo sampling to determine the statistics (mean and standard deviation) of the fatigue life prediction and was compared to fretting fatigue test data. Several qualitative and quantitative sensitivity methods were applied to the results including the calculation of the probabilistic sensitivities (partial derivatives of the fatigue life statistics with respect to the input probability density function parameters) via linear regression and finite difference.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0142-1123
1879-3452
DOI:10.1016/j.ijfatigue.2010.06.007