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Feasibility of Model-Assisted Probability of Detection Principles for Structural Health Monitoring Systems Based on Guided Waves for Fiber-Reinforced Composites.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control ( IF 3.0 ) Pub Date : 2021-09-27 , DOI: 10.1109/tuffc.2021.3084898
Kilian Tschoke 1 , Inka Mueller 2 , Vittorio Memmolo 3 , Maria Moix-Bonet 4 , Jochen Moll 5 , Yevgeniya Lugovtsova 6 , Mikhail Golub 7 , Ramanan Sridaran Venkat 8 , Lars Schubert 1
Affiliation  

In many industrial sectors, structural health monitoring (SHM) is considered as an addition to nondestructive testing (NDT) that can reduce maintenance effort during the lifetime of a technical facility, structural component, or vehicle. A large number of SHM methods are based on ultrasonic waves, whose properties change depending on structural health. However, the wide application of SHM systems is limited due to the lack of suitable methods to assess their reliability. The evaluation of the system performance usually refers to the determination of the probability of detection (POD) of a test procedure. Up until now, only a few limited methods exist to evaluate the POD of SHM systems, which prevents them from being standardized and widely accepted in the industry. The biggest hurdle concerning the POD calculation is the large number of samples needed. A POD analysis requires data from numerous identical structures with integrated SHM systems. Each structure is then damaged at different locations and with various degrees of severity. All of these are connected to high costs. Therefore, one possible way to tackle this problem is to perform computer-aided investigations. In this work, the POD assessment procedure established in NDT according to the Berens model is adapted to guided wave-based SHM systems. The approach implemented here is based on solely computer-aided investigations. After efficient modeling of wave propagation phenomena across an automotive component made of a carbon-fiber-reinforced composite, the POD curves are extracted. Finally, the novel concept of a POD map is introduced to look into the effect of damage position on system reliability.

中文翻译:

基于纤维增强复合材料导波的结构健康监测系统检测原理模型辅助概率的可行性。

在许多工业领域,结构健康监测 (SHM) 被认为是无损检测 (NDT) 的补充,可以减少技术设施、结构部件或车辆生命周期内的维护工作。大量 SHM 方法基于超声波,其特性根据结构健康而变化。然而,由于缺乏合适的方法来评估其可靠性,SHM 系统的广泛应用受到限制。系统性能的评估通常是指确定测试程序的检测概率(POD)。到目前为止,仅存在几种有限的方法来评估 SHM 系统的 POD,这阻碍了它们在行业中的标准化和广泛接受。POD 计算的最大障碍是需要大量样本。POD 分析需要来自许多具有集成 SHM 系统的相同结构的数据。然后每个结构在不同的位置和不同程度的严重程度受到损坏。所有这些都与高成本有关。因此,解决此问题的一种可能方法是进行计算机辅助调查。在这项工作中,根据 Berens 模型在 NDT 中建立的 POD 评估程序适用于基于导波的 SHM 系统。此处实施的方法仅基于计算机辅助调查。在对由碳纤维增强复合材料制成的汽车部件上的波传播现象进行有效建模后,提取 POD 曲线。最后,
更新日期:2021-05-31
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