Probabilistic approach to predicting fatigue lives of corroded 2024-T3

AIAA journal

Volumn 37, Issue 10, 1999, Pages 1311-1317

  Zamber, J E ^a   Hillberry, B M ^a  

^a PURDUE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALUMINUM METALLURGY; COMPUTER SIMULATION; CORROSION FATIGUE; CRACK PROPAGATION; ELECTRON MICROSCOPY; FUNCTIONS; LIFE CYCLE; MATHEMATICAL MODELS; MONTE CARLO METHODS; OPTICAL MICROSCOPY; PITTING; PROBABILITY;

ALUMINUM 2024-T3; GUMBEL EXTREME VALUE DISTRIBUTIONS; LONGITUDINAL-SHORT METALLURGICAL PLANES; LONGITUDINAL-TRANSVERSE METALLURGICAL PLANES;

AIRCRAFT MATERIALS;

EID: 0032595339     PISSN: 00011452     EISSN: None     Source Type: Journal    
DOI: 10.2514/2.602     Document Type: Article

References (13)

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