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双正弦分布式光纤传感器对智能复合材料层间及胶接处的精细 SHM 覆盖。

Finer SHM-Coverage of Inter-Plies and Bondings in Smart Composite by Dual Sinusoidal Placed Distributed Optical Fiber Sensors.

机构信息

PRES LUNAM IFSTTAR CS4 Route de Bouaye, 44344 Bouguenais, France.

Components and Systems Department, Université Paris-Est, IFSTTAR, 77420 Champs-sur-Marne, France.

出版信息

Sensors (Basel). 2019 Feb 12;19(3):742. doi: 10.3390/s19030742.

Abstract

Designing of new generation offshore wind turbine blades is a great challenge as size of blades are getting larger (typically larger than 100 m). Structural Health Monitoring (SHM), which uses embedded Fiber Optics Sensors (FOSs), is incorporated in critical stressed zones such as trailing edges and spar webs. When FOS are embedded within composites, a 'penny shape' region of resin concentration is formed around the section of FOS. The size of so-formed defects are depending on diameter of the FOS. Penny shape defects depend of FOS diameter. Consequently, care must be given to embed in composites reliable sensors that are as small as possible. The way of FOS placement within composite plies is the second critical issue. Previous research work done in this field (1) investigated multiple linear FOS and sinusoidal FOS placement, as well. The authors pointed out that better structural coverage of the critical zones needs some new concepts. Therefore, further advancement is proposed in the current article with novel FOS placement (anti-phasic sinusoidal FOS placement), so as to cover more critical area and sense multi-directional strains, when the wind blade is in-use. The efficiency of the new positioning is proven by numerical and experimental study.

摘要

新一代海上风力涡轮机叶片的设计是一项巨大的挑战,因为叶片的尺寸越来越大(通常超过 100 米)。结构健康监测(SHM)使用嵌入式光纤传感器(FOS),被嵌入在关键的受力区域,如后缘和翼梁腹板。当 FOS 嵌入复合材料中时,在 FOS 部分周围会形成一个“硬币形状”的树脂浓度区域。如此形成的缺陷的大小取决于 FOS 的直径。“硬币形状”缺陷取决于 FOS 的直径。因此,必须在复合材料中嵌入尽可能小的可靠传感器。FOS 在复合材料层中的放置方式是第二个关键问题。该领域之前的研究工作(1)还研究了多个线性 FOS 和正弦 FOS 的放置。作者指出,需要一些新概念来更好地覆盖关键区域的结构。因此,在当前的文章中提出了进一步的改进,即采用新颖的 FOS 放置方式(反相正弦 FOS 放置),以便在风力涡轮机叶片使用时覆盖更多的关键区域并感测多方向的应变。通过数值和实验研究证明了新定位方式的效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01c0/6387091/2a30cc7d5011/sensors-19-00742-g001.jpg

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