Research on Displacement Monitoring of Key Points in Caverns Based on Distributed Fiber Optic Sensing Technology

The accurate and real-time monitoring of key-point displacements in cavern structures is crucial for assessing structural safety and stability. However, traditional monitoring methods often fail to meet the high-precision requirements in complex environments. This study explored the potential applic...

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Main Authors: Jiangdong Wang, Ziming Xiong, Sheng Li, Hao Lu, Minqian Sun, Zhizhong Li, Hao Chen
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Sensors
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Online Access:https://www.mdpi.com/1424-8220/25/8/2619
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author Jiangdong Wang
Ziming Xiong
Sheng Li
Hao Lu
Minqian Sun
Zhizhong Li
Hao Chen
author_facet Jiangdong Wang
Ziming Xiong
Sheng Li
Hao Lu
Minqian Sun
Zhizhong Li
Hao Chen
author_sort Jiangdong Wang
collection DOAJ
description The accurate and real-time monitoring of key-point displacements in cavern structures is crucial for assessing structural safety and stability. However, traditional monitoring methods often fail to meet the high-precision requirements in complex environments. This study explored the potential application of fiber optic sensors in monitoring key-point displacements by leveraging their sensitivity to optical parameters and spectral changes. Through theoretical analysis, a linear relationship model between key-point displacements and circumferential strain was derived and validated via uniaxial compression tests. Further numerical simulations revealed that different material properties and structural characteristics significantly affect the slope and intercept of the fitting curve, establishing a correlation between these factors and the model parameters. The results demonstrated that fiber optic sensors could accurately measure circumferential strain within the elastic range and reliably reflect key-point displacement trends through the linear relationship model. This paper provides a new theoretical basis for the application of fiber optic sensors in structural health monitoring and expands their potential in civil and geotechnical engineering fields, offering scientific support for engineering design optimization and disaster prevention.
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spelling doaj-art-dd1e482d962044b396e070f329cddc352025-08-20T03:13:51ZengMDPI AGSensors1424-82202025-04-01258261910.3390/s25082619Research on Displacement Monitoring of Key Points in Caverns Based on Distributed Fiber Optic Sensing TechnologyJiangdong Wang0Ziming Xiong1Sheng Li2Hao Lu3Minqian Sun4Zhizhong Li5Hao Chen6State Key Laboratory of Disaster Prevention & Mitigation of Explosion & Impact, Army Engineering University of PLA, Nanjing 210007, ChinaState Key Laboratory of Disaster Prevention & Mitigation of Explosion & Impact, Army Engineering University of PLA, Nanjing 210007, ChinaState Key Laboratory of Disaster Prevention & Mitigation of Explosion & Impact, Army Engineering University of PLA, Nanjing 210007, ChinaState Key Laboratory of Disaster Prevention & Mitigation of Explosion & Impact, Army Engineering University of PLA, Nanjing 210007, ChinaState Key Laboratory of Disaster Prevention & Mitigation of Explosion & Impact, Army Engineering University of PLA, Nanjing 210007, ChinaState Key Laboratory of Disaster Prevention & Mitigation of Explosion & Impact, Army Engineering University of PLA, Nanjing 210007, ChinaState Key Laboratory of Disaster Prevention & Mitigation of Explosion & Impact, Army Engineering University of PLA, Nanjing 210007, ChinaThe accurate and real-time monitoring of key-point displacements in cavern structures is crucial for assessing structural safety and stability. However, traditional monitoring methods often fail to meet the high-precision requirements in complex environments. This study explored the potential application of fiber optic sensors in monitoring key-point displacements by leveraging their sensitivity to optical parameters and spectral changes. Through theoretical analysis, a linear relationship model between key-point displacements and circumferential strain was derived and validated via uniaxial compression tests. Further numerical simulations revealed that different material properties and structural characteristics significantly affect the slope and intercept of the fitting curve, establishing a correlation between these factors and the model parameters. The results demonstrated that fiber optic sensors could accurately measure circumferential strain within the elastic range and reliably reflect key-point displacement trends through the linear relationship model. This paper provides a new theoretical basis for the application of fiber optic sensors in structural health monitoring and expands their potential in civil and geotechnical engineering fields, offering scientific support for engineering design optimization and disaster prevention.https://www.mdpi.com/1424-8220/25/8/2619fiber optic sensorsdisplacement monitoringnumerical simulationfitting relationship
spellingShingle Jiangdong Wang
Ziming Xiong
Sheng Li
Hao Lu
Minqian Sun
Zhizhong Li
Hao Chen
Research on Displacement Monitoring of Key Points in Caverns Based on Distributed Fiber Optic Sensing Technology
Sensors
fiber optic sensors
displacement monitoring
numerical simulation
fitting relationship
title Research on Displacement Monitoring of Key Points in Caverns Based on Distributed Fiber Optic Sensing Technology
title_full Research on Displacement Monitoring of Key Points in Caverns Based on Distributed Fiber Optic Sensing Technology
title_fullStr Research on Displacement Monitoring of Key Points in Caverns Based on Distributed Fiber Optic Sensing Technology
title_full_unstemmed Research on Displacement Monitoring of Key Points in Caverns Based on Distributed Fiber Optic Sensing Technology
title_short Research on Displacement Monitoring of Key Points in Caverns Based on Distributed Fiber Optic Sensing Technology
title_sort research on displacement monitoring of key points in caverns based on distributed fiber optic sensing technology
topic fiber optic sensors
displacement monitoring
numerical simulation
fitting relationship
url https://www.mdpi.com/1424-8220/25/8/2619
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