A risk assessment method of aircraft structure damage maintenance interval considering fatigue crack growth and detection rate

• Autorzy: Zhang Zhuzhu , Mao Haitao , Liu Yulin , Jiao Peng , Hu Wenlin , Shen Pei

Identyfikatory

DOI

10.17531/ein.2023.1.3

• Języki publikacji: EN

Abstrakty

EN

The accurate assessment of aircraft structure damage risk is the premise of establishing reasonable, economic and reliable maintenance intervals. While many studies have proposed damage risk assessment methods for aircraft structures, these methods lack the quantification of risk. This paper proposed a risk assessment method of aircraft structure damage maintenance interval considering fatigue crack growth rate and crack detection rate. The damage process of aircraft structure was simulated by Monte Carlo simulation to realize the quantitative assessment of aircraft structure damage risk and maintenance interval. Taking an aircraft fleet as an example, the damage risk of its wing structure was simulated and analyzed. The results show that if the risk is controlled within a reasonable range, the maintenance interval should be shortened to 16 flight hours. At the same time, through the analysis of the risk classification standard and the crack detection rate, the quantitative evaluation of the risk classification standard was realized.

Słowa kluczowe

EN

Monte Carlo; risk assessment; maintenance interval; crack propagation; detection rate; condition based maintenance

• Wydawca: Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne
• Czasopismo: Eksploatacja i Niezawodność
• Rocznik: 2023
• Tom: Vol. 25, no. 1
• Strony: art. no. 3
• Opis fizyczny: Bibliogr. 35 poz., rys., tab., wykr.

Twórcy

autor

Zhang Zhuzhu

• 92728th of PLA, Shanghai 200443, China

• https://orcid.org/0000-0001-6803-9014

autor

Mao Haitao

• 92728th of PLA, Shanghai 200443, China

autor

Liu Yulin

• 92728th of PLA, Shanghai 200443, China

autor

Jiao Peng

• 92728th of PLA, Shanghai 200443, China

autor

Hu Wenlin

• 92728th of PLA, Shanghai 200443, China

autor

Shen Pei

• 92728th of PLA, Shanghai 200443, China

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).