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Research on Displacement Monitoring of Key Points in Caverns Based on Distributed Fiber Optic Sensing Technology
Jiangdong Wang1, Ziming Xiong1, Sheng Li1
1State Key Laboratory of Disaster Prevention & Mitigation of Explosion & Impact, Army Engineering University of PLA, Nanjing 210007, China.
Sensors (Basel, Switzerland)
|April 26, 2025
Summary
Fiber optic sensors can accurately monitor cavern structure displacements by measuring circumferential strain. This provides a reliable method for structural health monitoring in complex engineering environments.
Area of Science:
- Geotechnical Engineering
- Civil Engineering
- Structural Health Monitoring
Background:
- Accurate real-time monitoring of key-point displacements is vital for cavern structure safety.
- Traditional methods lack the precision needed for complex environments.
- Fiber optic sensors offer high sensitivity to optical and spectral changes.
Purpose of the Study:
- To investigate the application of fiber optic sensors for monitoring key-point displacements in cavern structures.
- To establish a reliable model for correlating sensor data with structural displacement.
- To assess the influence of material and structural properties on monitoring accuracy.
Main Methods:
- Theoretical analysis to derive a displacement-strain relationship model.
- Uniaxial compression tests to validate the theoretical model.
- Numerical simulations to explore the impact of material and structural variations.
Main Results:
- A linear relationship model between key-point displacement and circumferential strain was derived and validated.
- Material properties and structural characteristics were found to influence the model's parameters (slope and intercept).
- Fiber optic sensors accurately measured circumferential strain and reflected displacement trends within the elastic range.
Conclusions:
- Fiber optic sensors show significant potential for precise structural health monitoring in civil and geotechnical engineering.
- The developed linear relationship model provides a theoretical basis for applying these sensors to cavern structures.
- This research supports engineering design optimization and disaster prevention efforts through enhanced monitoring capabilities.
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