Enhancing damage diagnosis reliability by considering individual mission load severity

IF 9.4 1区 工程技术 Q1 ENGINEERING, MECHANICAL
Qiuhui Xu , Yixing Meng , Shenfang Yuan, Jian Chen
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Abstract

Among different Structural Health Monitoring (SHM) targets, damage diagnosis is always one of the most important as timely diagnosis of structural damage with high reliability can greatly facilitate the implementation of efficient maintenance and accurate structural life prediction. However, both the damage propagation process and the SHM method are always affected by complex uncertainties in service loads. To address this issue, a novel method for enhancing the reliability of damage diagnosis in individual aircraft structures is proposed in this paper, by accounting for both mission load severity and monitored damage features. Unlike conventionally employed load compensation techniques, it is proposed to extract the monitored flight mission load spectrum information, including the load spectrum amplitude and load spectrum mean feature, together with the damage index to form a new kind of multidimensional feature, taking advantage of hybrid Fiber Bragg Grating (FBG)-based load monitoring and Guided Wave (GW)-based damage monitoring. Besides, a Hybrid Monitoring-based Gaussian Process (HMGP) probabilistic model is established with the multidimensional feature to quantify the damage. Validation fatigue test is designed by using different complex variable load spectra. The results demonstrate a 36 % improvement in the Probability of Detection (POD) and a 44 % increase in crack sizing reliability, representing a significant enhancement in diagnostic reliability.

Abstract Image

考虑单个任务载荷严重程度,提高损伤诊断可靠性
在不同的结构健康监测目标中,损伤诊断一直是最重要的目标之一,因为及时、可靠地诊断结构损伤,可以极大地促进高效维修和准确的结构寿命预测。然而,无论是损伤传播过程还是SHM方法,都受到服务载荷复杂不确定性的影响。为了解决这一问题,本文提出了一种新的方法来提高单个飞机结构损伤诊断的可靠性,该方法同时考虑了任务载荷的严重性和监测损伤的特征。与传统的载荷补偿技术不同,利用基于光纤光栅(FBG)的载荷监测和基于导波(GW)的损伤监测相结合的方法,提取被监测飞行任务的载荷谱信息,包括载荷谱幅值和载荷谱均值特征,并结合损伤指标,形成一种新的多维特征。此外,建立了基于混合监测的高斯过程(HMGP)概率模型,利用该模型的多维特征对损伤进行量化。采用不同的复杂变载荷谱设计了验证疲劳试验。结果表明,检测概率(POD)提高了36%,裂纹尺寸可靠性提高了44%,这代表了诊断可靠性的显着提高。
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来源期刊
International Journal of Mechanical Sciences
International Journal of Mechanical Sciences 工程技术-工程:机械
CiteScore
12.80
自引率
17.80%
发文量
769
审稿时长
19 days
期刊介绍: The International Journal of Mechanical Sciences (IJMS) serves as a global platform for the publication and dissemination of original research that contributes to a deeper scientific understanding of the fundamental disciplines within mechanical, civil, and material engineering. The primary focus of IJMS is to showcase innovative and ground-breaking work that utilizes analytical and computational modeling techniques, such as Finite Element Method (FEM), Boundary Element Method (BEM), and mesh-free methods, among others. These modeling methods are applied to diverse fields including rigid-body mechanics (e.g., dynamics, vibration, stability), structural mechanics, metal forming, advanced materials (e.g., metals, composites, cellular, smart) behavior and applications, impact mechanics, strain localization, and other nonlinear effects (e.g., large deflections, plasticity, fracture). Additionally, IJMS covers the realms of fluid mechanics (both external and internal flows), tribology, thermodynamics, and materials processing. These subjects collectively form the core of the journal's content. In summary, IJMS provides a prestigious platform for researchers to present their original contributions, shedding light on analytical and computational modeling methods in various areas of mechanical engineering, as well as exploring the behavior and application of advanced materials, fluid mechanics, thermodynamics, and materials processing.
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