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

Gundars Bērziņš, Konstantin N. Nechval, Nicholas A. Nechval, M. Purgailis and V. F. Strelchonok

p. 108-120

    Abstract

    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.

    Index

    Keywords

    aircraft, fatigue crack, inspection interval

    Text

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    References

    Bibliographical reference

    Gundars Bērziņš, Konstantin N. Nechval, Nicholas A. Nechval, M. Purgailis and V. F. Strelchonok, « Stochastic Models for Prediction of Fatigue-Crack Growth in Aircraft Structure Components », CASYS, 20 | 2008, 108-120.

    Electronic reference

    Gundars Bērziņš, Konstantin N. Nechval, Nicholas A. Nechval, M. Purgailis and V. F. Strelchonok, « Stochastic Models for Prediction of Fatigue-Crack Growth in Aircraft Structure Components », CASYS [Online], 20 | 2008, Online since 10 October 2024, connection on 10 January 2025. URL : http://popups.lib.uliege.be/1373-5411/index.php?id=2836

    Authors

    Gundars Bērziņš

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

    By this author

    Konstantin N. Nechval

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

    By this author

    Nicholas A. Nechval

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

    By this author

    M. Purgailis

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

    By this author

    V. F. Strelchonok

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

    By this author

    Copyright

    CC BY-SA 4.0 Deed