Classification, Distribution, and Fatigue Life of Pitting Corrosion for Aircraft Materials

Autor:	Ramana M. Pidaparti, Mathew J. Palakal, S. Jayanti, C. A. Sowers
Rok vydání:	2002
Předmět:	Engineering business.product_category Artificial neural network business.industry Aerospace Engineering Experimental data Structural engineering Airplane Probabilistic neural network Corrosion fatigue Pitting corrosion Gamma distribution Probability distribution business
Zdroj:	Journal of Aircraft. 39:486-492
ISSN:	1533-3868 0021-8669
DOI:	10.2514/2.2954
Popis:	An investigation of the pitting corrosion classie cation, distribution, and prediction of corrosion-fatigue life of aircraft panels is carried out. A probabilistic neural network was developed to classify the pit size ranges and determine the distribution based on the availableexperimental data. The results obtained indicatethat the pit sizes can be classie ed into three groups. The gamma distribution function e t the experimental data of pit size ranges quite well. A neural network model was also developed for predicting the fatigue life of aircraft panels subjected to corrosion-fatigue loading. The developed neural network model was validated against the experimental data and other analytical methods available in the literature. Overall, the predictions from this study demonstrate the usefulness of neural network approach over other analytical methods for determining the fatigue life of aircraft structures.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f0db139106c9dbcf80a22f0c25fc8822 https://doi.org/10.2514/2.2954 Zobrazit plný text záznamu