任亮, 程祥, 姜涛. 基于光纤光栅应变箍传感器的管道局部腐蚀监测[J]. 油气储运, 2017, 36(3): 303-309. DOI: 10.6047/j.issn.1000-8241.2017.03.011
引用本文: 任亮, 程祥, 姜涛. 基于光纤光栅应变箍传感器的管道局部腐蚀监测[J]. 油气储运, 2017, 36(3): 303-309. DOI: 10.6047/j.issn.1000-8241.2017.03.011
REN Liang, CHENG Xiang, JIANG Tao. Local pipeline corrosion monitoring based on FBG hoop strain sensor[J]. Oil & Gas Storage and Transportation, 2017, 36(3): 303-309. DOI: 10.6047/j.issn.1000-8241.2017.03.011
Citation: REN Liang, CHENG Xiang, JIANG Tao. Local pipeline corrosion monitoring based on FBG hoop strain sensor[J]. Oil & Gas Storage and Transportation, 2017, 36(3): 303-309. DOI: 10.6047/j.issn.1000-8241.2017.03.011

基于光纤光栅应变箍传感器的管道局部腐蚀监测

Local pipeline corrosion monitoring based on FBG hoop strain sensor

  • 摘要: 为了对管道局部腐蚀进行长期、实时监测,自行开发了一种光纤光栅(Fiber Bragg Grating,FBG)应变箍传感器。介绍了基于FBG应变箍传感器的管道局部腐蚀监测原理,利用这种传感器测量管道的平均环向应变,实现对管道局部腐蚀的监测。将FBG应变箍传感器安装在局部壁厚不同程度减小的钢管道外壁上,分别测量各个管段的平均环向应变,开展局部腐蚀模拟试验。利用材料力学理论计算相同压力下不同腐蚀程度管段的平均环向应变,并用有限元软件进行模拟分析。结果表明:FBG应变箍传感器可以监测到管道平均环向应变的变化,进而反映管道局部腐蚀程度。这种基于管道环向应变监测管道局部腐蚀的方法具有很好的应用前景。

     

    Abstract: In order to conduct constant and real-time monitoring on local pipeline corrosion, a fiber bragg grating (FBG) hoop strain sensor was developed, and its principle on local pipeline corrosion monitoring was introduced in this paper. Local corrosion of pipelines is monitored by measuring the average loop strain of pipelines based on the FBG hoop strain sensor. This sensor is installed at the outer wall of steel pipelines whose wall thickness is locally reduced at different degrees to measure the average loop strain of each section, and then simulation experiments are performed on local corrosion. The average loop strain of the sections with different corrosion degrees is calculated at the same pressure based on the theory of material mechanics and then simulated by the finite element software. Results show that the FBG hoop strain sensor can be used to reflect the local corrosion degree of pipelines by monitoring the variation of average loop strain of pipelines. This method is surely promising in monitoring local corrosion of pipelines.

     

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