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基于嵌入式压电传感器的非线性振动方法的聚合物基复合材料(PMC)结构健康监测(SHM)研究。

Structural Health Monitoring (SHM) Study of Polymer Matrix Composite (PMC) Materials Using Nonlinear Vibration Methods Based on Embedded Piezoelectric Transducers.

机构信息

Centre de Recherche Royallieu, Roberval (Mechanics Energy and Electricity), Université de Technologie de Compiègne, CEDEX CS 60 319, 60 203 Compiègne, France.

出版信息

Sensors (Basel). 2023 Apr 1;23(7):3677. doi: 10.3390/s23073677.

Abstract

Nowadays, nonlinear vibration methods are increasingly used for the detection of damage mechanisms in polymer matrix composite (PMC) materials, which are anisotropic and heterogeneous. The originality of this study was the use of two nonlinear vibration methods to detect different types of damage within PMC through an in situ embedded polyvinylidene fluoride (PVDF) piezoelectric sensor. The two used methods are nonlinear resonance (NLR) and single frequency excitation (SFE). They were first tested on damage introduced during the manufacturing of the smart PMC plates, and second, on the damage that occurred after the manufacturing. The results show that both techniques are interesting, and probably a combination of them will be the best choice for SHM purposes. During the experimentation, an accelerometer was used, in order to validate the effectiveness of the integrated PVDF sensor.

摘要

如今,非线性振动方法越来越多地用于检测聚合物基复合材料(PMC)材料中的损伤机制,这些材料具有各向异性和不均匀性。本研究的创新性在于使用两种非线性振动方法通过原位嵌入的聚偏二氟乙烯(PVDF)压电传感器来检测 PMC 内的不同类型的损伤。这两种方法分别是非线性共振(NLR)和单频激励(SFE)。它们首先在智能 PMC 板制造过程中引入的损伤上进行测试,然后在制造后发生的损伤上进行测试。结果表明,这两种技术都很有趣,可能将它们结合起来将是 SHM 的最佳选择。在实验过程中,使用了加速度计来验证集成的 PVDF 传感器的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de76/10098912/4de8b05489d6/sensors-23-03677-g001.jpg

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