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基于光纤传感器的复合材料结构健康监测

Structural Health Monitoring in Composite Structures by Fiber-Optic Sensors.

作者信息

Güemes Alfredo, Fernández-López Antonio, F Díaz-Maroto Patricia, Lozano Angel, Sierra-Perez Julian

机构信息

Department Aeronautics, Polytechnic University of Madrid, Madrid 28040, Spain.

Ingeniería Aeroespacial, Universidad Pontificia Bolivariana, Medellín 050031, Colombia.

出版信息

Sensors (Basel). 2018 Apr 4;18(4):1094. doi: 10.3390/s18041094.

DOI:10.3390/s18041094
PMID:29617345
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5948525/
Abstract

Fiber-optic sensors cannot measure damage; to get information about damage from strain measurements, additional strategies are needed, and several alternatives are available in the existing literature. This paper discusses two independent procedures. The first is based on detecting new strains appearing around a damage spot. The structure does not need to be under loads, the technique is very robust, and damage detectability is high, but it requires sensors to be located very close to the damage, so it is a local technique. The second approach offers wider coverage of the structure; it is based on identifying the changes caused by damage on the strain field in the whole structure for similar external loads. Damage location does not need to be known a priori, and detectability is dependent upon the sensor's network density, the damage size, and the external loads. Examples of application to real structures are given.

摘要

光纤传感器无法测量损伤；要从应变测量中获取有关损伤的信息，需要额外的策略，现有文献中有几种可供选择的方法。本文讨论了两种独立的方法。第一种方法基于检测损伤点周围出现的新应变。结构无需承受载荷，该技术非常可靠，损伤可检测性高，但它要求传感器非常靠近损伤处放置，因此这是一种局部技术。第二种方法能更广泛地覆盖结构；它基于识别在相似外部载荷下损伤对整个结构应变场造成的变化。损伤位置无需事先知道，可检测性取决于传感器网络密度、损伤大小和外部载荷。文中给出了在实际结构中的应用示例。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a19e/5948525/1b10ad16b8e9/sensors-18-01094-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a19e/5948525/bf795be8c99f/sensors-18-01094-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a19e/5948525/dc04fea8781a/sensors-18-01094-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a19e/5948525/57b85f3f04d0/sensors-18-01094-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a19e/5948525/f226d2d07eb0/sensors-18-01094-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a19e/5948525/8412070c980d/sensors-18-01094-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a19e/5948525/14e76ecb0961/sensors-18-01094-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a19e/5948525/dae23e3f17c7/sensors-18-01094-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a19e/5948525/a51613e7fa14/sensors-18-01094-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a19e/5948525/cf269c7bccf3/sensors-18-01094-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a19e/5948525/df336cc86e1b/sensors-18-01094-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a19e/5948525/48d933b72be8/sensors-18-01094-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a19e/5948525/1b10ad16b8e9/sensors-18-01094-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a19e/5948525/bf795be8c99f/sensors-18-01094-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a19e/5948525/dc04fea8781a/sensors-18-01094-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a19e/5948525/57b85f3f04d0/sensors-18-01094-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a19e/5948525/f226d2d07eb0/sensors-18-01094-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a19e/5948525/8412070c980d/sensors-18-01094-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a19e/5948525/14e76ecb0961/sensors-18-01094-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a19e/5948525/dae23e3f17c7/sensors-18-01094-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a19e/5948525/a51613e7fa14/sensors-18-01094-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a19e/5948525/cf269c7bccf3/sensors-18-01094-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a19e/5948525/df336cc86e1b/sensors-18-01094-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a19e/5948525/48d933b72be8/sensors-18-01094-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a19e/5948525/1b10ad16b8e9/sensors-18-01094-g012.jpg

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