Residual strength and corrosion rate predictions of aging aircraft panels: Neural network study

Journal of Aircraft

Volumn 39, Issue 1, 2002, Pages 175-180

  Pidaparti, R M ^a   Jayanti, S ^a   Palakal, M J ^a  

^a Indiana University Purdue University Indianapolis   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED ANALYSIS; COMPUTER SIMULATION; CORROSION; DETERIORATION; FATIGUE OF MATERIALS; NEURAL NETWORKS; STRENGTH OF MATERIALS;

AGING AIRCRAFT; AIRCRAFT PANELS; FATIGUE DAMAGE; RESIDUAL STRENGTH;

AIRCRAFT PARTS AND EQUIPMENT;

EID: 0036182074     PISSN: 00218669     EISSN: 15333868     Source Type: Journal    
DOI: 10.2514/2.2912     Document Type: Article

References (18)

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