Evidence map›Paper›PMID 41309814›Full record

ArticleScientific reports2025

Improved deformation reconstruction of composite material structures based on optical fiber sensing.

Jun Huang, Yuwei Sun, Yu Peng, Dongsheng Zhang, Ruiya Li, Sheng Yin, Zhenfeng Peng, Quanyong Huang, Quan Liu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jun HuangSchool of Information Engineering, Wuhan University of Technology, Wuhan, 430070, China.
Yuwei SunSchool of Information Engineering, Wuhan University of Technology, Wuhan, 430070, China.
Yu PengHubei Institute of Measurement and Testing Technology, Wuhan, 430223, China.
Dongsheng ZhangNational Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan, 430070, China.
Ruiya LiSchool of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan, 430070, China. liruiya@whut.edu.cn.
Sheng YinSchool of Information Engineering, Wuhan University of Technology, Wuhan, 430070, China.
Zhenfeng PengSchool of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan, 430070, China.
Quanyong HuangSchool of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan, 430070, China.
Quan LiuSchool of Information Engineering, Wuhan University of Technology, Wuhan, 430070, China.

Funding

Fundamental Research Funds for the Central Universities WUT:2022IVA204the National Natural Science Foundation of China 52275029
6 · The paper itself

Abstract

Due to high strength and lightweight, composite material structures have been widely used in various industries such as aerospace, automotive, civil engineering, and healthcare. Real-time deformation monitoring based on optical fiber sensing technology holds immense potential in composite materials' structural health monitoring (SHM). In this study, structural deformation reconstruction algorithms have been investigated by improving the slope recursion algorithm and the Ko displacement theory. The slope recursion algorithm is enhanced through angle averaging. Cross-validation is employed to increase strain-fitting accuracy for the Ko displacement theory. Finite element simulation analysis and deformation reconstruction experiments of a carbon fiber composite plate were conducted to validate the deformation reconstruction algorithms. Fiber Bragg grating (FBG) sensors were applied to measure quasi-distributed strain as inputs for the algorithms. The results show that the overall reconstruction accuracy increased by 1.91% with the improved slope method and by 0.92% with the optimized Ko displacement theory. Deformation reconstruction experiments of a composite material reinforced structure were carried out, and 70 FBG sensors were installed on its surface for strain field measurement. The experimental results indicate the feasibility of the proposed deformation reconstruction methods for complex structures.

Indexed as

Composite material structureDeformation reconstructionKo displacement theoryOptical fiber sensingSlope recursion

Identifiers

PMID41309814
PMCPMC12660868

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