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基于双向光传输的塑料光纤传感器腐蚀监测

Corrosion Monitoring by Plastic Optic Fiber Sensor Using Bi-Directional Light Transmission.

作者信息

Hou Liang, Akutagawa Shinichi

机构信息

Department of Civil Engineering, Kobe University, 1-1, Rokkodai-cho, Nada-ku, Kobe 657-8501, Japan.

出版信息

Sensors (Basel). 2024 May 19;24(10):3229. doi: 10.3390/s24103229.

DOI:10.3390/s24103229
PMID:38794083
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11125014/
Abstract

In this paper, a new sensor is proposed to efficiently gather crucial information on corrosion phenomena and their progression within steel components. Fabricated with plastic optical fibers (POF), the sensor can detect corrosion-induced physical changes in the appearance of monitoring points within the steel material. Additionally, the new sensor incorporates an innovative structure that efficiently utilizes bi-directional optical transmission in the POF, simplifying the installation procedure and reducing the total cost of the POF cables by as much as 50% when monitoring multiple points. Furthermore, an extremely compact dummy sensor with the length of 5 mm and a diameter of 2.2 mm for corrosion-depth detection was introduced, and its functionality was validated through experiments. This paper outlines the concept and fundamental structure of the proposed sensor; analyzes the results of various experiments; and discusses its effectiveness, prospects, and economic advantages.

摘要

本文提出了一种新型传感器,用于高效收集有关钢构件腐蚀现象及其发展过程的关键信息。该传感器由塑料光纤(POF)制成,能够检测钢材内部监测点外观上由腐蚀引起的物理变化。此外,这种新型传感器采用了一种创新结构,有效利用了塑料光纤中的双向光传输,简化了安装过程,并且在多点监测时将塑料光纤电缆的总成本降低了多达50%。此外,还引入了一种用于腐蚀深度检测的极其紧凑的虚拟传感器,其长度为5毫米,直径为2.2毫米,并通过实验验证了其功能。本文概述了所提出传感器的概念和基本结构;分析了各种实验结果;并讨论了其有效性、前景和经济优势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ae7/11125014/d7e7a43ae538/sensors-24-03229-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ae7/11125014/53a0e7cc68e6/sensors-24-03229-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ae7/11125014/bcaf4ced87f8/sensors-24-03229-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ae7/11125014/24f0dadbf2a4/sensors-24-03229-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ae7/11125014/0835bd096cfd/sensors-24-03229-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ae7/11125014/289a1a4da5f1/sensors-24-03229-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ae7/11125014/e6a9ee17297e/sensors-24-03229-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ae7/11125014/8d7c1beb678e/sensors-24-03229-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ae7/11125014/0691d67f82d1/sensors-24-03229-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ae7/11125014/57b32d413292/sensors-24-03229-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ae7/11125014/1d595c4b98b6/sensors-24-03229-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ae7/11125014/962875650b09/sensors-24-03229-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ae7/11125014/2885b12e6f9e/sensors-24-03229-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ae7/11125014/2cbf7fcedf4c/sensors-24-03229-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ae7/11125014/d7e7a43ae538/sensors-24-03229-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ae7/11125014/53a0e7cc68e6/sensors-24-03229-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ae7/11125014/bcaf4ced87f8/sensors-24-03229-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ae7/11125014/24f0dadbf2a4/sensors-24-03229-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ae7/11125014/0835bd096cfd/sensors-24-03229-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ae7/11125014/289a1a4da5f1/sensors-24-03229-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ae7/11125014/e6a9ee17297e/sensors-24-03229-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ae7/11125014/8d7c1beb678e/sensors-24-03229-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ae7/11125014/0691d67f82d1/sensors-24-03229-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ae7/11125014/57b32d413292/sensors-24-03229-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ae7/11125014/1d595c4b98b6/sensors-24-03229-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ae7/11125014/962875650b09/sensors-24-03229-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ae7/11125014/2885b12e6f9e/sensors-24-03229-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ae7/11125014/2cbf7fcedf4c/sensors-24-03229-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ae7/11125014/d7e7a43ae538/sensors-24-03229-g014.jpg

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本文引用的文献

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Sensors (Basel). 2023 Jan 23;23(3):1309. doi: 10.3390/s23031309.
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Low-Cost Interrogation System for Long-Period Fiber Gratings Applied to Remote Sensing.应用于遥感的长周期光纤光栅低成本检测系统。
Sensors (Basel). 2019 Mar 28;19(7):1500. doi: 10.3390/s19071500.
4
Detection and characterization of stainless steel SCC by the analysis of crack related acoustic emission.通过分析与裂纹相关的声发射来检测和表征不锈钢应力腐蚀开裂
Ultrasonics. 2015 Sep;62:312-22. doi: 10.1016/j.ultras.2015.06.005. Epub 2015 Jun 11.
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Long period fiber grating transverse load effect-based sensor for the omnidirectional monitoring of rebar corrosion in concrete.基于长周期光纤光栅横向载荷效应的混凝土中钢筋腐蚀全方位监测传感器
Appl Opt. 2013 May 10;52(14):3246-52. doi: 10.1364/AO.52.003246.