Residual Strength and Corrosion Rate Predictions of Aging Aircraft Panels: Neural Network Study

The strength of an aging aircraft component deteriorates mainly as a result of corrosion and fatigue damage, among other failure mechanisms. Corrosion causes loss of material thickness, and the fatigue reduces the strength as a result of damage at multiple sites in aging aircraft. This paper present...

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Veröffentlicht in:	Journal of aircraft 2002-01, Vol.39 (1), p.175-180
Hauptverfasser:	Pidaparti, R. M, Jayanti, S, Palakal, M. J
Format:	Artikel
Sprache:	eng
Schlagworte:	Aircraft Corrosion Exact sciences and technology Fracture mechanics (crack, fatigue, damage...) Fracture mechanics, fatigue and cracks Fundamental areas of phenomenology (including applications) Neural networks Physics Solid mechanics Structural and continuum mechanics
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Beschreibung
Zusammenfassung:	The strength of an aging aircraft component deteriorates mainly as a result of corrosion and fatigue damage, among other failure mechanisms. Corrosion causes loss of material thickness, and the fatigue reduces the strength as a result of damage at multiple sites in aging aircraft. This paper presents a neural network study of both residual strength and corrosion of aging aircraft panels.
ISSN:	0021-8669 1533-3868
DOI:	10.2514/2.2912