Stochastic Models for Prediction of Fatigue-Crack Growth in Aircraft Structure Components

p. 108-120

Résumé

For important fatigue-sensitive structures of aircraft whose breakdowns cause serious accidents, it is required to keep their reliability extremely high. In this paper, we discuss inspection strategies for such important structures against fatigue failure. The focus is on the case when there are fatigue-cracks unexpectedly detected in a fleet of aircraft within a warranty period (prior to the first inspection). The paper examines this case and proposes stochastic models for prediction of fatigue-crack growth to determine appropriate inspections intervals. We also do not assume known parameters of the underlying distributions, and the estimation of that is incorporated into the analysis and decision-making. Numerical example is provided to illustrate the procedure.

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G. Berzins, K. N. Nechval, N. A. Nechval, M. Purgailis et V. F. Strelchonok, « Stochastic Models for Prediction of Fatigue-Crack Growth in Aircraft Structure Components », CASYS, 20 | 2008, 108-120.

Référence électronique

G. Berzins, K. N. Nechval, N. A. Nechval, M. Purgailis et V. F. Strelchonok, « Stochastic Models for Prediction of Fatigue-Crack Growth in Aircraft Structure Components », CASYS [En ligne], 20 | 2008, mis en ligne le 03 September 2024, consulté le 20 September 2024. URL : http://popups.lib.uliege.be/1373-5411/index.php?id=2836

Auteurs

G. Berzins

Mathematical Statistics Department, University of Latvia, Raina Blvd 19, LV-1050, Riga, Latvia

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K. N. Nechval

Applied Mathematics Department, Transport and Telecommunication Institute, Lomonosov Street 1, LV-1019, Riga, Latvia

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N. A. Nechval

Mathematical Statistics Department, University of Latvia, Raina Blvd 19, LV-1050, Riga, Latvia

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M. Purgailis

Mathematical Statistics Department, University of Latvia, Raina Blvd 19, LV-1050, Riga, Latvia

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V. F. Strelchonok

Informatics Department, Baltic International Academy, Lomonosov Street 4, LV-1019, Riga, Latvia

Droits d'auteur

CC BY-SA 4.0 Deed