Department of Industrial Engineering-DIN, University of Bologna, 47121 Forlì, Italy.
Department of Aerospace Structures and Materials, Faculty of Aerospace Engineering, Delft University of Technology, 2629 HS Delft, The Netherlands.
Sensors (Basel). 2023 May 16;23(10):4813. doi: 10.3390/s23104813.
Optical fiber sensors (OFSs) represent an efficient sensing solution in various structural health monitoring (SHM) applications. However, a well-defined methodology is still missing to quantify their damage detection performance, preventing their certification and full deployment in SHM. In a recent study, the authors proposed an experimental methodology to qualify distributed OFSs using the concept of probability of detection (POD). Nevertheless, POD curves require considerable testing, which is often not feasible. This study takes a step forward, presenting a model-assisted POD (MAPOD) approach for the first time applied to distributed OFSs (DOFSs). The new MAPOD framework applied to DOFSs is validated through previous experimental results, considering the mode I delamination monitoring of a double-cantilever beam (DCB) specimen under quasi-static loading conditions. The results show how strain transfer, loading conditions, human factors, interrogator resolution, and noise can alter the damage detection capabilities of DOFSs. This MAPOD approach represents a tool to study the effects of varying environmental and operational conditions on SHM systems based on DOFSs and for the design optimization of the monitoring system.
光纤传感器 (OFS) 在各种结构健康监测 (SHM) 应用中代表了一种有效的传感解决方案。然而，仍然缺乏明确的方法来量化其损伤检测性能，从而阻止了它们在 SHM 中的认证和全面部署。在最近的一项研究中，作者提出了一种使用检测概率 (POD) 概念来对分布式 OFS 进行资格认证的实验方法。然而，POD 曲线需要大量的测试，这通常是不可行的。本研究向前迈进了一步，首次提出了一种模型辅助 POD（MAPOD）方法，并将其应用于分布式 OFS（DOFS）。新的 MAPOD 框架通过以前的实验结果得到验证，考虑了在准静态加载条件下对双悬臂梁 (DCB) 试件的模态 I 分层监测。结果表明应变传递、加载条件、人为因素、询问器分辨率和噪声如何改变 DOFS 的损伤检测能力。这种 MAPOD 方法代表了一种工具，可以研究基于 DOFS 的 SHM 系统和监测系统的设计优化中不断变化的环境和操作条件的影响。
