Composite material impact location detection technology based on BP algorithm and FBG sensing

LI Meng; ZHANG Cui; TONG Xinglin; DENG Chengwei; LI Haoyang; HE Xiqin; MAO Yan

doi:10.7510/jgjs.issn.1001-3806.2022.03.005

LASER TECHNOLOGY > 2022 > 46(3): 320-325. > DOI: 10.7510/jgjs.issn.1001-3806.2022.03.005

LI Meng, ZHANG Cui, TONG Xinglin, DENG Chengwei, LI Haoyang, HE Xiqin, MAO Yan. Composite material impact location detection technology based on BP algorithm and FBG sensing[J]. LASER TECHNOLOGY, 2022, 46(3): 320-325. DOI: 10.7510/jgjs.issn.1001-3806.2022.03.005

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Composite material impact location detection technology based on BP algorithm and FBG sensing

LI Meng^1,2,
ZHANG Cui^1,2,
TONG Xinglin^1,2, ,,
DENG Chengwei¹,
LI Haoyang^1,3,
HE Xiqin^1,2,
MAO Yan^1,4

1.
National Engineering Laboratory of Optical Fiber Sensing Technology, Wuhan University of Technology, Wuhan 430070, China
2.
School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China
3.
School of Mechanical and Electrical Engineering, Wuhan University of Technology, Wuhan 430070, China
4.
Rizhao Biomedicine and New Materials Research Institute of Wuhan University of Technology, Rizhao 276800, China

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Received Date: April 18, 2021
Revised Date: April 29, 2021
Published Date: May 24, 2022

Graphical Abstract

Abstract

Abstract

The composite material is susceptible to external low-energy impact which causes invisible damage during service. In order to achieve the purpose of monitoring the health of the composite material, the fiber Bragg grating (FBG) sensor network was pasted and arranged on the surface of the carbon fiber composite material. The intelligent composite material impact location recognition technology based on the back propagation (BP) neural network system was used to obtain the time-domain signal response value of the FBG sensor to predict the impact position of the composite material. The results show that the BP neural network algorithm has the advantages of strong nonlinear approximation ability, high fault tolerance and strong adaptive ability. It can realize the parameterized identification and positioning of composite laminates, and the ratio of the prediction results to the total length of the composite laminates to be tested less than 0.1. The FBG sensing system provides more accurate information for the self-adjustment and self-repair capabilities of intelligent composite materials.
- sensor technique,
- fiber Bragg grating sensing,
- impact location,
- back propagation neural network,
- composite material

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References

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