首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers, Part O. Journal of Risk and Reliability >Time-variant fatigue reliability evaluation of riveted lap joint under stationary random loading
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Time-variant fatigue reliability evaluation of riveted lap joint under stationary random loading

机译:铆接随机荷载下铆接圈关节的时变疲劳可靠性评价

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This article focuses on the time-variant reliability assessment of riveted lap joint structure subjected to fatigue. A physics-based fatigue crack growth model that can take the crack closure into account is derived to calculate the crack length at different time under arbitrary loading. In addition, several uncertainties are quantified, including the material, initial crack size, and loading condition. The stationary random loading is a common service environment in practice, in which the stress range and stress ratio vary with constant statistical characteristics (the mean and standard deviation). The time-variant fatigue reliability of riveted lap joint under stationary random loading is assessed by introducing the outcrossing concept. The experimental data of 2024-T3 aluminum alloy riveted lap joint under constant amplitude loading are used to validate the physics-based fatigue crack growth model. It is verified that this proposed model can predict the fatigue life probability distribution with a reasonable accuracy. In addition, the simulation of riveted lap joint under stationary random loading is performed. The time-variant fatigue reliability is evaluated. The results with or without considering crack closures are also compared. It is noted that the results from the time-variant fatigue reliability assessment considering crack closure has higher reliability level.
机译:本文重点介绍对疲劳的铆接圈关节结构的时变可靠性评估。衍生出可以考虑裂缝闭合的物理疲劳裂纹生长模型,以在任意装载下计算不同时间的裂缝长度。此外,量化了几种不确定性,包括材料,初始裂缝尺寸和装载条件。静止随机加载是实践中的共同的服务环境,其中应力范围和应力比随着恒定的统计特征(平均值和标准偏差)而变化。通过引入延伸概念来评估铆接随机荷载下铆接圈关节的时变疲劳可靠性。在恒定幅度载荷下2024-T3铝合金铆接圈接头的实验数据用于验证基于物理的疲劳裂纹生长模型。验证该提出的模型可以以合理的准确性预测疲劳寿命概率分布。另外,进行铆接随机荷载下的铆接圈关节的模拟。评估时变疲劳可靠性。还比较有或不考虑裂缝闭包的结果。应注意,考虑裂纹闭合的时变疲劳可靠性评估结果具有更高的可靠性水平。

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