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Published on: March 8, 2020
Strain transfer efficiency model and finite element simulation experiment for end-bonded substrate-type FBG sensors
Xianhuan Luo1,2, Baowu Zhang2, Kai Chen1
1National Institute of Metrology, China, Beijing, 100029, China.
Scientific Reports
|June 21, 2026
Summary
This study presents a model for fiber Bragg grating (FBG) sensors used in wind turbine blade monitoring. It analyzes how adhesive properties and sensor design affect strain transfer efficiency for more accurate damage detection.
Area of Science:
- Structural Health Monitoring
- Materials Science
- Mechanical Engineering
Background:
- Fiber Bragg grating (FBG) sensors are crucial for monitoring wind turbine blade integrity.
- Strain transfer loss through adhesive layers in FBG sensors can compromise monitoring accuracy.
- Understanding strain transfer is vital for optimizing FBG sensor performance in harsh environments.
Purpose of the Study:
- To develop a strain transfer efficiency model for end-bonded substrate-type FBG sensors.
- To investigate the influence of adhesive properties (elastic modulus, Poisson's ratio, thickness) and FBG gauge length on strain transfer.
- To provide a method for improving the accuracy of FBG sensor-based wind turbine blade monitoring.
Main Methods:
- Development of a strain transfer efficiency model for end-bonded FBG sensors.
- Numerical analysis of key parameters: adhesive elastic modulus, Poisson's ratio, thickness, and FBG gauge length.
- Validation of the model using finite element simulation.
Main Results:
- The proposed model accurately describes strain transfer laws in end-bonded substrate-type FBG sensor structures.
- Key parameters significantly influence strain transfer efficiency, with their mechanisms elucidated.
- Finite element simulations confirm the model's predictive accuracy.
Conclusions:
- The developed model offers a reliable tool for understanding and optimizing strain transfer in FBG sensors.
- This research enhances the effectiveness of FBG sensors for accurate damage monitoring in wind turbine blades.
- The findings contribute to the advancement of structural health monitoring technologies in renewable energy applications.

