Evaluation of the probability distribution of pitting corrosion fatigue life in aircraft materials |
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| Authors: | Wang Qingyuan N Kawagoishi Q Chen R M Pidaparti |
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| Institution: | (1) Dept. of Civil Eng. and Mechanics, Sichuan University, 610065 Chengdu, China;(2) Dept. of Mechanical Engineering, Kagoshima University, 890-0065 Kagoshima, Japan;(3) Dept. of Mechanical Engineering, Purdue University, 46202 Indianapolis, IN, USA |
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| Abstract: | Corrosion and fatigue properties of aircraft materials are known to have a considerable scatter due to the random nature of
materials, loading, and environmental conditions. A probabilistic approach for predicting the pitting corrosion fatigue life
has been investigated which captures the effect of the interaction of the cyclic load and corrosive environment and all stages
of the corrosion fatigue process (i.e. the pit nucleation and growth, pit-crack transition, short- and long-crack propagation).
The probabilistic model investigated considers the uncertainties in the initial pit size, corrosion pitting current, and material
properties due to the scatter found in the experimental data. Monte Carlo simulations were performed to define the failure
probability distribution. Predicted cumulative distribution functions of fatigue life agreed reasonably well with the existing
experimental data.
The project supported by SRF for ROCS, State Education Ministry of China, and the Society for the Promotion of Science (JSPS)
of Japan (JSPS-P02042) |
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| Keywords: | pitting corrosion fatigue probabilistic modeling fatigue life prediction |
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