• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于光纤线圈缠绕法的钢增强混凝土结构用布里渊腐蚀膨胀传感器。

Brillouin corrosion expansion sensors for steel reinforced concrete structures using a fiber optic coil winding method.

机构信息

School of Civil Engineering, Dalian University of Technology, Dalian 116024, China.

出版信息

Sensors (Basel). 2011;11(11):10798-819. doi: 10.3390/s111110798. Epub 2011 Nov 16.

DOI:10.3390/s111110798
PMID:22346672
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3274314/
Abstract

In this paper, a novel kind of method to monitor corrosion expansion of steel rebars in steel reinforced concrete structures named fiber optic coil winding method is proposed, discussed and tested. It is based on the fiber optical Brillouin sensing technique. Firstly, a strain calibration experiment is designed and conducted to obtain the strain coefficient of single mode fiber optics. Results have shown that there is a good linear relationship between Brillouin frequency and applied strain. Then, three kinds of novel fiber optical Brillouin corrosion expansion sensors with different fiber optic coil winding packaging schemes are designed. Sensors were embedded into concrete specimens to monitor expansion strain caused by steel rebar corrosion, and their performance was studied in a designed electrochemical corrosion acceleration experiment. Experimental results have shown that expansion strain along the fiber optic coil winding area can be detected and measured by the three kinds of sensors with different measurement range during development the corrosion. With the assumption of uniform corrosion, diameters of corrosion steel rebars were obtained using calculated average strains. A maximum expansion strain of 6,738 με was monitored. Furthermore, the uniform corrosion analysis model was established and the evaluation formula to evaluate mass loss rate of steel rebar under a given corrosion rust expansion rate was derived. The research has shown that three kinds of Brillouin sensors can be used to monitor the steel rebar corrosion expansion of reinforced concrete structures with good sensitivity, accuracy and monitoring range, and can be applied to monitor different levels of corrosion. By means of this kind of monitoring technique, quantitative corrosion expansion monitoring can be carried out, with the virtues of long durability, real-time monitoring and quasi-distribution monitoring.

摘要

本文提出并探讨了一种监测钢筋混凝土结构中钢筋腐蚀膨胀的新型光纤线圈缠绕方法,该方法基于光纤布里渊传感技术。首先,设计并进行了应变标定实验,以获得单模光纤的应变系数。结果表明,布里渊频率与施加应变之间存在良好的线性关系。然后,设计了三种具有不同光纤线圈缠绕包装方案的新型光纤布里渊腐蚀膨胀传感器。将传感器嵌入混凝土试件中,以监测由钢筋腐蚀引起的膨胀应变,并在设计的电化学腐蚀加速实验中研究了它们的性能。实验结果表明,三种传感器在腐蚀发展过程中,可以检测和测量不同测量范围的光纤线圈缠绕区域的膨胀应变。假设均匀腐蚀,通过计算平均应变得到腐蚀钢筋的直径。监测到的最大膨胀应变为 6,738 με。此外,建立了均匀腐蚀分析模型,并推导出了在给定腐蚀锈膨胀率下评估钢筋质量损失率的评价公式。研究表明,三种布里渊传感器可以用于监测钢筋混凝土结构的钢筋腐蚀膨胀,具有良好的灵敏度、准确性和监测范围,可用于监测不同程度的腐蚀。通过这种监测技术,可以进行定量腐蚀膨胀监测,具有耐久性长、实时监测和准分布式监测的优点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/a27c02fa1690/sensors-11-10798f26.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/ba977dca13af/sensors-11-10798f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/10effcea7578/sensors-11-10798f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/2a4305a7ef32/sensors-11-10798f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/70f6b4be7f41/sensors-11-10798f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/6f709dc947b4/sensors-11-10798f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/809413a104e4/sensors-11-10798f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/07e2b745de66/sensors-11-10798f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/1304729468bd/sensors-11-10798f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/fea22fa4968e/sensors-11-10798f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/8a59809772c0/sensors-11-10798f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/706258330c06/sensors-11-10798f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/5592f9c6b03a/sensors-11-10798f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/74bb1ba87724/sensors-11-10798f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/5340021065ab/sensors-11-10798f14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/255b3162c3af/sensors-11-10798f15.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/079b4f38b1e5/sensors-11-10798f16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/91a62e8b3b13/sensors-11-10798f17.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/5e6901d6037d/sensors-11-10798f18.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/1cb2d3e185f9/sensors-11-10798f19.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/257de12a175c/sensors-11-10798f20.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/cc2869ac8eed/sensors-11-10798f21.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/3e6c4c12e01e/sensors-11-10798f22.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/eeae927d7604/sensors-11-10798f23.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/ce311c778c6c/sensors-11-10798f24.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/927f48b584e0/sensors-11-10798f25.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/a27c02fa1690/sensors-11-10798f26.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/ba977dca13af/sensors-11-10798f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/10effcea7578/sensors-11-10798f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/2a4305a7ef32/sensors-11-10798f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/70f6b4be7f41/sensors-11-10798f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/6f709dc947b4/sensors-11-10798f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/809413a104e4/sensors-11-10798f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/07e2b745de66/sensors-11-10798f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/1304729468bd/sensors-11-10798f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/fea22fa4968e/sensors-11-10798f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/8a59809772c0/sensors-11-10798f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/706258330c06/sensors-11-10798f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/5592f9c6b03a/sensors-11-10798f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/74bb1ba87724/sensors-11-10798f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/5340021065ab/sensors-11-10798f14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/255b3162c3af/sensors-11-10798f15.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/079b4f38b1e5/sensors-11-10798f16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/91a62e8b3b13/sensors-11-10798f17.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/5e6901d6037d/sensors-11-10798f18.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/1cb2d3e185f9/sensors-11-10798f19.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/257de12a175c/sensors-11-10798f20.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/cc2869ac8eed/sensors-11-10798f21.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/3e6c4c12e01e/sensors-11-10798f22.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/eeae927d7604/sensors-11-10798f23.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/ce311c778c6c/sensors-11-10798f24.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/927f48b584e0/sensors-11-10798f25.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87be/3274314/a27c02fa1690/sensors-11-10798f26.jpg

相似文献

1
Brillouin corrosion expansion sensors for steel reinforced concrete structures using a fiber optic coil winding method.基于光纤线圈缠绕法的钢增强混凝土结构用布里渊腐蚀膨胀传感器。
Sensors (Basel). 2011;11(11):10798-819. doi: 10.3390/s111110798. Epub 2011 Nov 16.
2
The performance analysis of distributed Brillouin corrosion sensors for steel reinforced concrete structures.分布式布里渊腐蚀传感器在钢筋混凝土结构中的性能分析。
Sensors (Basel). 2013 Dec 27;14(1):431-42. doi: 10.3390/s140100431.
3
Feasibility of Distributed Fiber Optic Sensor for Corrosion Monitoring of Steel Bars in Reinforced Concrete.分布式光纤传感器在监测钢筋混凝土中钢筋腐蚀的可行性研究。
Sensors (Basel). 2018 Nov 1;18(11):3722. doi: 10.3390/s18113722.
4
A Spiral Distributed Monitoring Method for Steel Rebar Corrosion.一种用于钢筋腐蚀的螺旋分布式监测方法。
Micromachines (Basel). 2021 Nov 26;12(12):1451. doi: 10.3390/mi12121451.
5
A Strain Transfer Model for Detection of Pitting Corrosion and Loading Force of Steel Rebar with Distributed Fiber Optic Sensor.基于分布式光纤传感器的钢筋点蚀与荷载力检测应变传递模型
Sensors (Basel). 2023 Sep 28;23(19):8142. doi: 10.3390/s23198142.
6
Prediction Method of Steel Corrosion Rate Based on the Helix Distributed Sensor.基于螺旋分布式传感器的钢腐蚀速率预测方法
Micromachines (Basel). 2022 Oct 30;13(11):1868. doi: 10.3390/mi13111868.
7
Corrosion-Effected Bond Behavior between PVA-Fiber-Reinforced Concrete and Steel Rebar under Chloride Environment.氯化物环境下PVA纤维增强混凝土与钢筋之间的腐蚀影响粘结性能
Materials (Basel). 2023 Mar 27;16(7):2666. doi: 10.3390/ma16072666.
8
Relationship model between surface strain of concrete and expansion force of reinforcement rust.混凝土表面应变与钢筋锈蚀膨胀力之间的关系模型
Sci Rep. 2021 Feb 18;11(1):4208. doi: 10.1038/s41598-021-83376-w.
9
Determination of the Real Cracking Moment of Two Reinforced Concrete Beams Through the Use of Embedded Fiber Optic Sensors.通过使用嵌入式光纤传感器确定两根钢筋混凝土梁的实际开裂弯矩
Sensors (Basel). 2020 Feb 10;20(3):937. doi: 10.3390/s20030937.
10
Monitoring the corrosion process of reinforced concrete using BOTDA and FBG sensors.使用布里渊光时域分析(BOTDA)和光纤布拉格光栅(FBG)传感器监测钢筋混凝土的腐蚀过程。
Sensors (Basel). 2015 Apr 15;15(4):8866-83. doi: 10.3390/s150408866.

引用本文的文献

1
Non-Uniform Corrosion Monitoring of Steel Pipes Using Distributed Optical Fiber Sensors in the Fluctuation Zone of a Coastal Wharf.在沿海码头波动区使用分布式光纤传感器对钢管进行非均匀腐蚀监测
Sensors (Basel). 2025 May 19;25(10):3194. doi: 10.3390/s25103194.
2
Fiber Optic-Based Durability Monitoring in Smart Concrete: A State-of-Art Review.智能混凝土中基于光纤的耐久性监测:现状综述
Sensors (Basel). 2023 Sep 11;23(18):7810. doi: 10.3390/s23187810.
3
Experimental Investigations of Distributed Fiber Optic Sensors for Water Pipeline Monitoring.
分布式光纤传感器在供水管线监测中的实验研究。
Sensors (Basel). 2023 Jul 6;23(13):6205. doi: 10.3390/s23136205.
4
A Long-Term Monitoring Method of Corrosion Damage of Prestressed Anchor Cable.一种预应力锚索腐蚀损伤的长期监测方法
Micromachines (Basel). 2023 Mar 31;14(4):799. doi: 10.3390/mi14040799.
5
Prediction Method of Steel Corrosion Rate Based on the Helix Distributed Sensor.基于螺旋分布式传感器的钢腐蚀速率预测方法
Micromachines (Basel). 2022 Oct 30;13(11):1868. doi: 10.3390/mi13111868.
6
Corrosion-Induced Mass Loss Measurement under Strain Conditions through Gr/AgNW-Based, Fe-C Coated LPFG Sensors.通过基于Gr/AgNW、Fe-C涂层的长周期光纤光栅传感器在应变条件下测量腐蚀引起的质量损失
Sensors (Basel). 2020 Mar 13;20(6):1598. doi: 10.3390/s20061598.
7
Vision-Based Autonomous Crack Detection of Concrete Structures Using a Fully Convolutional Encoder-Decoder Network.基于视觉的混凝土结构自主裂缝检测:使用全卷积编解码网络。
Sensors (Basel). 2019 Sep 30;19(19):4251. doi: 10.3390/s19194251.
8
Application of a Novel Long-Gauge Fiber BraggGrating Sensor for Corrosion Detection via aTwo-level Strategy.基于两级策略的新型长栅光纤布拉格光栅传感器在腐蚀检测中的应用。
Sensors (Basel). 2019 Feb 23;19(4):954. doi: 10.3390/s19040954.
9
Corrosion Measurement of the Atmospheric Environment Using Galvanic Cell Sensors.使用原电池传感器测量大气环境腐蚀。
Sensors (Basel). 2019 Jan 15;19(2):331. doi: 10.3390/s19020331.
10
A Recent Progress of Steel Bar Corrosion Diagnostic Techniques in RC Structures.钢筋混凝土结构中钢筋腐蚀诊断技术的最新进展。
Sensors (Basel). 2018 Dec 21;19(1):34. doi: 10.3390/s19010034.