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基于检测概率技术的全尺寸复合材料翼梁结构健康监测系统性能评估

Performance Evaluation of Structural Health Monitoring System Applied to Full-Size Composite Wing Spar via Probability of Detection Techniques.

作者信息

Galasso Bernardino, Ciminello Monica, Apuleo Gianvito, Bardenstein David, Concilio Antonio

机构信息

Adaptive Structures Division, The Italian Aerospace Research Centre (CIRA), 81043 Capua, Italy.

Research Division, Piaggio Aerospace Industries (PAI), 20100 Villanova D'Albenga, Italy.

出版信息

Sensors (Basel). 2024 Aug 12;24(16):5216. doi: 10.3390/s24165216.

DOI:10.3390/s24165216
PMID:39204912
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11359271/
Abstract

Probability of detection (POD) is an acknowledged mean of evaluation for many investigations aiming at detecting some specific property of a subject of interest. For instance, it has had many applications for Non-Destructive Evaluation (NDE), aimed at identifying defects within structural architectures, and can easily be used for structural health monitoring (SHM) systems, meant as a compact and more integrated evolution of the former technology. In this paper, a probability of detection analysis is performed to estimate the reliability of an SHM system, applied to a wing box composite spar for bonding line quality assessment. Such a system is based on distributed fiber optics deployed on the reference component at specific locations for detecting strains; the attained data are then processed by a proprietary algorithm whose capability was already tested and reported in previous works, even at full-scale level. A finite element (FE) model, previously validated by experimental results, is used to simulate the presence of damage areas, whose effect is to modify strain transfer between adjacent parts. Numerical data are used to verify the capability of the SHM system in revealing the presence of the modeled physical discontinuities with respect to a specific set of loads, running along the beam up to cover its complete extension. The POD is then estimated through the analysis of the collected data sets, wide enough to assess the global SHM system performance. The results of this study eventually aim at improving the current strategies adopted for SHM for bonding analysis by identifying the intimate behavior of the system assessed at the date. The activities herein reported have been carried out within the RESUME project.

摘要

检测概率(POD)是许多旨在检测感兴趣对象特定属性的研究中公认的评估手段。例如,它在无损检测(NDE)中有许多应用,旨在识别结构体系中的缺陷,并且可以很容易地用于结构健康监测(SHM)系统,该系统可视为前一种技术的紧凑且更集成的演进形式。本文进行了检测概率分析,以评估应用于翼盒复合材料翼梁的SHM系统用于粘结线质量评估的可靠性。这样的系统基于部署在参考部件特定位置用于检测应变的分布式光纤;然后通过一种专有算法处理获得的数据,该算法的能力在之前的工作中已经得到测试和报道,甚至在全尺寸水平上也是如此。一个先前已通过实验结果验证的有限元(FE)模型用于模拟损伤区域的存在,损伤区域的作用是改变相邻部件之间的应变传递。数值数据用于验证SHM系统在揭示相对于特定载荷集的建模物理不连续性存在方面的能力,这些载荷沿梁运行直至覆盖其整个长度。然后通过对收集的数据集进行分析来估计POD,这些数据集足够广泛,以评估全局SHM系统的性能。本研究的结果最终旨在通过识别当前评估的系统的内在行为来改进用于粘结分析的SHM所采用的当前策略。本文所报告的活动是在RESUME项目中开展的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7478/11359271/d41c0f056408/sensors-24-05216-g021a.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7478/11359271/9d31a11d3a18/sensors-24-05216-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7478/11359271/734f71938b56/sensors-24-05216-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7478/11359271/86fc154f9f41/sensors-24-05216-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7478/11359271/ae09c406abe7/sensors-24-05216-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7478/11359271/a77da028fc77/sensors-24-05216-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7478/11359271/54fb9c067e75/sensors-24-05216-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7478/11359271/e1eda64a5c93/sensors-24-05216-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7478/11359271/153f9fba45d3/sensors-24-05216-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7478/11359271/942df2e17e9c/sensors-24-05216-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7478/11359271/70380a38502a/sensors-24-05216-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7478/11359271/935b8db09aa2/sensors-24-05216-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7478/11359271/d903d5b8d320/sensors-24-05216-g020.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7478/11359271/d41c0f056408/sensors-24-05216-g021a.jpg

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本文引用的文献

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2
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Sensors (Basel). 2022 May 30;22(11):4152. doi: 10.3390/s22114152.
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Optical Fiber Sensors for Aircraft Structural Health Monitoring.用于飞机结构健康监测的光纤传感器
Sensors (Basel). 2015 Jun 30;15(7):15494-519. doi: 10.3390/s150715494.
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Ultrasonics. 2003 Sep;41(7):521-9. doi: 10.1016/s0041-624x(03)00156-2.