Detection, visualization, quantification, and warning of pipe corrosion using distributed fiber optic sensors

doi:10.1016/j.autcon.2021.103953

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	Detection, visualization, quantification, and warning of pipe corrosion using distributed fiber optic sensors
	Tan, Xiao 2; Fan, Liang 3; Huang, Ying 1; Bao, Yi 2
刊名	AUTOMATION IN CONSTRUCTION
	2021-12-01
卷号	132 页码:13
关键词	Corrosion Distributed fiber optic sensors (DFOS) Optical frequency domain reflectometry (OFDR) Pipeline Structural health monitoring (SHM) Visualization
ISSN号	0926-5805
DOI	10.1016/j.autcon.2021.103953
通讯作者	Bao, Yi(yi.bao@stevens.edu)
英文摘要	This 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.
资助项目	U.S. Department of Transportation through PHMSA[693JK31950008CAAP] ; National Science Foundation[CMMI-1750316]
WOS研究方向	Construction & Building Technology ; Engineering
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000701893600003
内容类型	期刊论文
源URL	[http://ir.qdio.ac.cn/handle/337002/176571]
专题	海洋研究所_海洋腐蚀与防护研究发展中心
通讯作者	Bao, Yi
作者单位	1.North Dakota State Univ, Dept Civil & Environm Engn, Fargo, ND 58105 USA 2.Stevens Inst Technol, Dept Civil Environm & Ocean Engn, Hoboken, NJ 07030 USA 3.Chinese Acad Sci, Key Lab Marine Environm Corros & Biofouling, Inst Oceanol, Qingdao 266071, Shandong, Peoples R China
推荐引用方式 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.