A Novel Safe Life Extension Method for Aircraft Main Landing Gear Based on Statistical Inference of Test Life Data and Outfield Life Data

被引：5

作者：

Fu, Yueshuai ^{[1
]}

Fu, Huimin ^{[1
]}

Zhang, Sheng ^{[2
]}

机构：

[1] Beihang Univ, Sch Aeronaut Sci & Engn, Beijing 100191, Peoples R China

[2] Beijing Aeronaut Technol Res Ctr, Beijing 100076, Peoples R China

来源：

SYMMETRY-BASEL | 2023年 / 15卷 / 04期

基金：

中国国家自然科学基金;

关键词：

main landing gear; safe life extension; lognormal distribution; statistical inference; test life data; outfield life data; FATIGUE FRACTURE; PREDICTION; RELIABILITY; INTERVAL;

D O I：

10.3390/sym15040880

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Safe life extension work is demanded on an aircraft's main landing gear (MLG) when the outfield MLG reaches the predetermined safe life. Traditional methods generally require costly and time-consuming fatigue tests, whereas they ignore the outfield data containing abundant life information. Thus, this paper proposes a novel life extension method based on statistical inference of test and outfield life data. In this method, the MLG's fatigue life is assumed to follow a right-skewed lognormal distribution with an asymmetric probability density function. In addition, the MLG's new safe life can be inferred through the Bayesian approach in which the test life data and outfield life data are used for prior information acquisition and Bayesian update, respectively. The results indicated that the MLG's safe life was significantly extended, illustrating the effectiveness of the proposed method. Numerous simulations also demonstrated that the extended safe life can meet the requirements of reliability and confidence and thus is applicable in engineering practice.

引用

页数：14

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