Non-destructive real-time monitoring of bolt preload in wind turbine towers using FBG sensors on the nut

Bolt loosening in wind turbine towers often causes structural failures, leading to annual economic losses exceeding 100 million yuan. To address limitations of traditional monitoring methods, this study proposes a non-destructive, real-time preload monitoring technique using fiber Bragg grating (FBG) sensors. A mechanical model and finite element analysis reveal a strong linear correlation (<i>R</i><sup>2</sup>>0.9996) between nut strain and applied torque. A dual-FBG differential compensation strategy effectively mitigates temperature-strain cross-coupling. The method demonstrates high accuracy and reliability, offering a feasible solution for structural health monitoring and early warning in wind turbine towers.

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Publication Details

Journal
Applied Optics
Published
2026-01-02
DOI
https://doi.org/10.1364/ao.582926
Primary Topic
Structural Health Monitoring Techniques
Type
article
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article

Non-destructive real-time monitoring of bolt preload in wind turbine towers using FBG sensors on the nut

Hanrui Yang, Hao Meng, Xun Lou, Yong Han et al.
Applied Optics
Structural Health Monitoring Techniques
article

Non-destructive real-time monitoring of bolt preload in wind turbine towers using FBG sensors on the nut

Hanrui Yang, Hao Meng, Xun Lou, Yong Han, jianmin Yu, Fengling Li
article en

Abstract

Bolt loosening in wind turbine towers often causes structural failures, leading to annual economic losses exceeding 100 million yuan. To address limitations of traditional monitoring methods, this study proposes a non-destructive, real-time preload monitoring technique using fiber Bragg grating (FBG) sensors. A mechanical model and finite element analysis reveal a strong linear correlation (<i>R</i><sup>2</sup>>0.9996) between nut strain and applied torque. A dual-FBG differential compensation strategy effectively mitigates temperature-strain cross-coupling. The method demonstrates high accuracy and reliability, offering a feasible solution for structural health monitoring and early warning in wind turbine towers.

Applied OpticsVol. 65(4)
Jilin Agricultural University (CN)
Affordable and clean energy
Openalex Percentile: Top 99%
Structural Health Monitoring Techniques
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