IOCAS-IR  > 海洋环境腐蚀与与生物污损重点实验室
Detection, visualization, quantification, and warning of pipe corrosion using distributed fiber optic sensors
Tan, Xiao1; Fan, Liang2; Huang, Ying3; Bao, Yi1
2021-12-01
Source PublicationAUTOMATION IN CONSTRUCTION
ISSN0926-5805
Volume132Pages:13
Corresponding AuthorBao, Yi(yi.bao@stevens.edu)
AbstractThis paper presents a distributed monitoring approach for detection, visualization, quantification, and warning for pipe corrosion using a single-mode telecommunication-grade fiber optic cable as a distributed sensor. The distributed sensor can be deployed on the surface of a pipe to measure corrosion along the pipe based on optical frequency domain reflectometry. To validate this distributed pipe corrosion monitoring approach, steel pipes were immersed in sodium chloride solution (concentration: 3.5 wt%) for corrosion tests. Strain distributions were measured and used to detect and map corrosion along the pipe. A meso-scale analytical model was developed to link the measured strains to the mass loss of pipe under corrosion. The effects of cable thickness, spatial resolution, and deployment pattern on corrosion assessment were investigated systematically. A threshold-based warning method is proposed based on the unique sensor data.
KeywordCorrosion Distributed fiber optic sensors (DFOS) Optical frequency domain reflectometry  (OFDR) Pipeline Structural health monitoring (SHM) Visualization
DOI10.1016/j.autcon.2021.103953
Indexed BySCI
Language英语
Funding ProjectU.S. Department of Transportation through PHMSA[693JK31950008CAAP] ; National Science Foundation[CMMI-1750316]
WOS Research AreaConstruction & Building Technology ; Engineering
WOS SubjectConstruction & Building Technology ; Engineering, Civil
WOS IDWOS:000701893600003
PublisherELSEVIER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.qdio.ac.cn/handle/337002/176572
Collection海洋环境腐蚀与与生物污损重点实验室
Corresponding AuthorBao, Yi
Affiliation1.Stevens Inst Technol, Dept Civil Environm & Ocean Engn, Hoboken, NJ 07030 USA
2.Chinese Acad Sci, Key Lab Marine Environm Corros & Biofouling, Inst Oceanol, Qingdao 266071, Shandong, Peoples R China
3.North Dakota State Univ, Dept Civil & Environm Engn, Fargo, ND 58105 USA
Recommended Citation
GB/T 7714
Tan, Xiao,Fan, Liang,Huang, Ying,et al. Detection, visualization, quantification, and warning of pipe corrosion using distributed fiber optic sensors[J]. AUTOMATION IN CONSTRUCTION,2021,132:13.
APA Tan, Xiao,Fan, Liang,Huang, Ying,&Bao, Yi.(2021).Detection, visualization, quantification, and warning of pipe corrosion using distributed fiber optic sensors.AUTOMATION IN CONSTRUCTION,132,13.
MLA Tan, Xiao,et al."Detection, visualization, quantification, and warning of pipe corrosion using distributed fiber optic sensors".AUTOMATION IN CONSTRUCTION 132(2021):13.
Files in This Item:
File Name/Size DocType Version Access License
1-s2.0-S092658052100(5170KB)期刊论文出版稿延迟开放CC BY-NC-SAView 2023-7-1后可获取
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Tan, Xiao]'s Articles
[Fan, Liang]'s Articles
[Huang, Ying]'s Articles
Baidu academic
Similar articles in Baidu academic
[Tan, Xiao]'s Articles
[Fan, Liang]'s Articles
[Huang, Ying]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Tan, Xiao]'s Articles
[Fan, Liang]'s Articles
[Huang, Ying]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 1-s2.0-S0926580521004040-main.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.