FBG Monitoring Information-Motivated Anti-Fatigue Performance Analysis of CFRP Composites Based on Non-Destructive Tests

The wide-spread application of carbon fiber-reinforced polymer (CFRP) composites in industrial fields has led to high demand for developing a rapid detection method for assessing the structural performance of CFRP composites in operation based on optical fiber sensing technology. Therefore, the effectiveness and reliability of evaluating the fatigue resistance of CFRP plates based on fiber Bragg grating (FBG) monitoring information were explored. The strain response of CFRP plates at key positions under constant amplitude fatigue load was monitored by bare FBGs in series and packaged quasi-distributed FBGs in series. The structural performance and fatigue resistance characteristics of CFRP plates were evaluated by statistical analysis and fatigue life prediction theory. The validity and accuracy of the test and analysis results were demonstrated by finite element modeling analysis. Compared with the traditional methods that evaluate the structural fatigue performance based on mass destructive experiments, this method significantly improves the detection efficiency and realizes the non-destructive and rapid online evaluation of structural service performance. Research shows that the designed FBG sensors can effectively monitor the strain response of CFRP plate under fatigue load, and the correlated fatigue algorithm can provide feasible and reliable technical approaches for online detection and evaluation on the structural performance of CFRP components.

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Publication Details

Journal
Polymers
Published
2025-06-29
DOI
https://doi.org/10.3390/polym17131817
Citations
1
Primary Topic
Advanced Fiber Optic Sensors
Type
article
Field-Weighted Citation Impact
0.73

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article

FBG Monitoring Information-Motivated Anti-Fatigue Performance Analysis of CFRP Composites Based on Non-Destructive Tests

Zhigang Xia, Feng Shen, Si-Kai Wang, Ping Xiang et al.
1 citations
Polymers
Advanced Fiber Optic Sensors
0.73
article

FBG Monitoring Information-Motivated Anti-Fatigue Performance Analysis of CFRP Composites Based on Non-Destructive Tests

Zhigang Xia, Feng Shen, Si-Kai Wang, Ping Xiang, Bodong Peng, Yung William Sasy Chan, Jiayi Zhang, Huaping Wang
article en
1 citations

Abstract

The wide-spread application of carbon fiber-reinforced polymer (CFRP) composites in industrial fields has led to high demand for developing a rapid detection method for assessing the structural performance of CFRP composites in operation based on optical fiber sensing technology. Therefore, the effectiveness and reliability of evaluating the fatigue resistance of CFRP plates based on fiber Bragg grating (FBG) monitoring information were explored. The strain response of CFRP plates at key positions under constant amplitude fatigue load was monitored by bare FBGs in series and packaged quasi-distributed FBGs in series. The structural performance and fatigue resistance characteristics of CFRP plates were evaluated by statistical analysis and fatigue life prediction theory. The validity and accuracy of the test and analysis results were demonstrated by finite element modeling analysis. Compared with the traditional methods that evaluate the structural fatigue performance based on mass destructive experiments, this method significantly improves the detection efficiency and realizes the non-destructive and rapid online evaluation of structural service performance. Research shows that the designed FBG sensors can effectively monitor the strain response of CFRP plate under fatigue load, and the correlated fatigue algorithm can provide feasible and reliable technical approaches for online detection and evaluation on the structural performance of CFRP components.

PolymersVol. 17(13)
Central South University (CN), Lanzhou University (CN), Yangzhou University (CN)
Lanzhou University, Dalian University of Technology, Fundamental Research Funds for the Central Universities
Responsible consumption and production
Openalex Percentile: Top 26%
Advanced Fiber Optic Sensors
0.73
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