TY - JOUR
T1 - Evaluation of the probability distribution of pitting corrosion fatigue life in aircraft materials
AU - Wang, Qingyuan
AU - Kawagoishi, N.
AU - Chen, Q.
AU - Pidaparti, R. M.
N1 - Funding Information:
Received 21 August 2002, revised * 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) t E-maih wangqy@scu.edu.cn ulation results of Todinov \[s\] showed that the fatigue scatter in the fatigue life is due to variations of the size of the initiating defects, and the probability with which the fatigue cracks are initiated, rather than on variations in fatigue crack propagation life. Wang\[9 \] developed a total life probabilistic model based on both short and long crack growth data to analyze the fatigue crack growth under general loading conditions. An effective stress intensity factor is used as the major crack growth driving force in the crack growth analyses.
PY - 2003/6
Y1 - 2003/6
N2 - 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.
AB - 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.
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U2 - 10.1007/bf02484487
DO - 10.1007/bf02484487
M3 - Article
AN - SCOPUS:0141483810
SN - 0567-7718
VL - 19
SP - 247
EP - 252
JO - Acta Mechanica Sinica/Lixue Xuebao
JF - Acta Mechanica Sinica/Lixue Xuebao
IS - 3
ER -