IDEAS home Printed from https://ideas.repec.org/a/sae/risrel/v239y2025i5p915-922.html

Reliability study on crack propagation life of aluminum alloy repair structure

Author

Listed:
  • Yashi Liao
  • Sen Zhang
  • Xuhui Zhang

Abstract

In this paper, the life reliability analysis of AL-AL repair structure is studied. Firstly, the fatigue life of the repair structure is predicted by finite element numerical modeling combined with Forman’s empirical formula, and the influence law of the variation of the repair structure parameters on the fatigue life is investigated. Secondly, the uncertain factors affecting the fatigue life of the structure are considered, the objective function of the structure is linearly fitted, and the fatigue reliability model of the repair structure is established, and the reliability of the structure is obtained by calculating the probability of predicting the fatigue life to be greater than the allowable life. Finally, the parameters of the repair plate that affect the life reliability are analyzed and studied. The results show that under the same fatigue life, the order of parameters affecting the reliability of the repair structure is: repair plate position x  > repair plate width w  > repair plate length l .

Suggested Citation

  • Yashi Liao & Sen Zhang & Xuhui Zhang, 2025. "Reliability study on crack propagation life of aluminum alloy repair structure," Journal of Risk and Reliability, , vol. 239(5), pages 915-922, October.
    • Handle: RePEc:sae:risrel:v:239:y:2025:i:5:p:915-922
    DOI: 10.1177/1748006X251314502
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1748006X251314502
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1748006X251314502?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Yuhan Wang & Xintian Liu & Haijie Wang & Xu Wang & Xiaolan Wang, 2021. "Improved fatigue failure model for reliability analysis of mechanical parts inducing stress spectrum," Journal of Risk and Reliability, , vol. 235(6), pages 973-981, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Raimundo Aguayo-Estremera & Gustavo R. Cañadas & Elena Ortega-Campos & Tania Ariza & Emilia Inmaculada De la Fuente-Solana, 2023. "Validity Evidence for the Internal Structure of the Maslach Burnout Inventory-Student Survey: A Comparison between Classical CFA Model and the ESEM and the Bifactor Models," Mathematics, MDPI, vol. 11(6), pages 1-21, March.
    2. Liu, Fuxiu & Li, Zhaojun & Liang, Minglang & Zhao, Binjian & Ding, Jiang, 2023. "Prediction method of non-stationary random vibration fatigue reliability of turbine runner blade based on transfer learning," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    3. Weiguang Zheng & Haonan Jiang & Shande Li & Qiuxiang Ma, 2023. "Reliability Analysis of High-Voltage Drive Motor Systems in Terms of the Polymorphic Bayesian Network," Mathematics, MDPI, vol. 11(10), pages 1-21, May.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:risrel:v:239:y:2025:i:5:p:915-922. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.