Classification, distribution, and fatigue life of pitting corrosion for aircraft materials

Journal of Aircraft

Volumn 39, Issue 3, 2002, Pages 486-492

  Pidaparti, R M ^a   Jayanti, S ^a   Sowers, C A ^a   Palakal, M J ^a  

^a INDIANA UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALUMINUM; COMPUTER SIMULATION; CRACK INITIATION; FATIGUE OF MATERIALS; NEURAL NETWORKS; PITTING; PROBABILITY DISTRIBUTIONS; SCANNING ELECTRON MICROSCOPY; TRANSMISSION ELECTRON MICROSCOPY;

AIRCRAFT PANELS; CORROSION CLASSIFICATION; CORROSION FATIGUE LIFE; GAMMA DISTRIBUTION FUNCTION; PITTING CORROSION DISTRIBUTION; PROBABILISTIC NEURAL NETWORK; SOFTWARE PACKAGE MATLAB;

AIRCRAFT MATERIALS;

EID: 0036576081     PISSN: 00218669     EISSN: 15333868     Source Type: Journal    
DOI: 10.2514/2.2954     Document Type: Article

References (13)

1. A transmission electron microscopy study of 7075-T6 and 2024-T3 aluminum alloys
2. Corrosion-fatigue crack initiation in 7000-series Al alloys
3. Model for prediction of fatigue lives based upon a pitting corrosion fatigue process
4. Probability modeling of corrosion fatigue crack growth and pitting corrosion
5. Probabilities of occurrence and detection of damage in airframe materials
6. A probability model for the growth of corrosion pits in aluminum alloys induced by constituent particles
7. Probability approach for prediction of corrosion and corrosion fatigue life
8. Effect of pitting corrosion on fatigue crack initiation and fatigue life
9. Probabilistic approach to predicting fatigue lives of corroded 2024-T3
10. High cycle fatigue crack initiation and propagation behavior of high strength spring steel wires
11. Comparative study corrosion fatigue in aircraft materials