Pipeline deformation monitoring based on long-gauge fiber-optic sensing systems: Methods, experiments, and engineering applications

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement Pub Date : 2025-02-03 DOI:10.1016/j.measurement.2025.116911

Zhen Sun , Xin Wang , Tianran Han , Huang Huang , Jian Ding , Longxiang Wang , Zhishen Wu

{"title":"Pipeline deformation monitoring based on long-gauge fiber-optic sensing systems: Methods, experiments, and engineering applications","authors":"Zhen Sun , Xin Wang , Tianran Han , Huang Huang , Jian Ding , Longxiang Wang , Zhishen Wu","doi":"10.1016/j.measurement.2025.116911","DOIUrl":null,"url":null,"abstract":"<div><div>This study employed long-gauge fiber Bragg gratings (LG-FBG) and long-gauge Brillouin optical time-domain analysis (LG-BOTDA) sensing systems to monitor pipeline deformation. A two-stage analytical method was proposed to quantify pipeline deformation. The feasibility of this method was validated through full-scale pipeline loading tests, and a comparative analysis of the sensing results from LG-FBG, LG-BOTDA, and traditional BOTDA was conducted. Subsequently, the applicability of the LG-FBG sensing system in pipeline engineering was assessed. Results indicated that the strain measurement accuracy of the LG-FBG and LG-BOTDA systems under laboratory loading conditions outperformed that of the traditional BOTDA. The proposed two-stage pipeline deformation analysis method yielded measurement errors of 5.42 % for LG-FBG and 8.25 % for LG-BOTDA, which were notably better than the BOTDA’s 18.66 %. Furthermore, the LG-FBG sensing system achieved a monitoring survival ratio of 100 % in engineering applications, with a measurement error of less than 10.03 %, demonstrating its advantages in practical engineering.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"248 ","pages":"Article 116911"},"PeriodicalIF":5.2000,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0263224125002702","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}

引用次数: 0

Abstract

This study employed long-gauge fiber Bragg gratings (LG-FBG) and long-gauge Brillouin optical time-domain analysis (LG-BOTDA) sensing systems to monitor pipeline deformation. A two-stage analytical method was proposed to quantify pipeline deformation. The feasibility of this method was validated through full-scale pipeline loading tests, and a comparative analysis of the sensing results from LG-FBG, LG-BOTDA, and traditional BOTDA was conducted. Subsequently, the applicability of the LG-FBG sensing system in pipeline engineering was assessed. Results indicated that the strain measurement accuracy of the LG-FBG and LG-BOTDA systems under laboratory loading conditions outperformed that of the traditional BOTDA. The proposed two-stage pipeline deformation analysis method yielded measurement errors of 5.42 % for LG-FBG and 8.25 % for LG-BOTDA, which were notably better than the BOTDA’s 18.66 %. Furthermore, the LG-FBG sensing system achieved a monitoring survival ratio of 100 % in engineering applications, with a measurement error of less than 10.03 %, demonstrating its advantages in practical engineering.

查看原文本刊更多论文

求助全文

约1分钟内获得全文求助全文

来源期刊

Measurement 工程技术-工程：综合

CiteScore

10.20

自引率

12.50%

发文量

1589

审稿时长

12.1 months

期刊介绍： Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.