Damage identification of CFRP laminate based on finite element analysis and FBG sensor network

Yin, Weiming; Hu, Yefa; Ding, Guoping; Fan, Zijun; Jiang, Ning

doi:10.1016/j.yofte.2022.103057

Cited by 7 publications

(1 citation statement)

References 24 publications

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“…In addition to various monitoring techniques, damage identification and localization algorithms are also key technologies to achieve spacecraft structural health status assessment. Currently, researchers have conducted many studies on structural damage monitoring methods based on fiber optic sensors [13,14].…”

Section: Introductionmentioning

confidence: 99%

Spacecraft Segment Damage Identification Method Based on Fiber Optic Strain Difference Field Reconstruction and Norm Calculation

Xu,

Zeng,

Chen

et al. 2023

Sensors

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Real-time online identification of spacecraft segment damage is of great significance for realizing spacecraft structural health monitoring and life prediction. In this paper, a damage response characteristic field inversion algorithm based on the differential reconstruction of strain response is proposed to solve the problem of not being able to recognize the small damages of spacecraft structure directly by the strain response alone. Four crack damage location identification methods based on vector norm computation are proposed, which realize online identification and precise location of structural damage events without external excitation by means of spacecraft structural working loads only. A spacecraft segment structural damage monitoring system based on fiber optic grating sensors was constructed, and the average error of damage localization based on the curvature vector 2 norm calculation was 2.58 mm, and the root-mean-square error was 1.98 mm. The results show that the method has superior engineering applicability for on-orbit service environments.

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Section: Introductionmentioning

confidence: 99%

Spacecraft Segment Damage Identification Method Based on Fiber Optic Strain Difference Field Reconstruction and Norm Calculation

Xu,

Zeng,

Chen

et al. 2023

Sensors

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Strain and damage monitoring of optical fiber sensor‐embedded carbon fiber reinforced polymer confined cracked pipes

Shi,

Kong,

et al. 2024

Polymer Composites

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Pipelines for water, oil, or gas transportation are prone to cracking damage due to severe service conditions. Carbon fiber reinforced polymer (CFRP) composites have been applied to repair cracked pipelines. In the present paper, fiber Bragg grating (FBG) and Brillouin optical time domain analysis (BOTDA) technology were applied to monitor the circumferential strains of the steel pipes and CFRP confined seamless/cracked steel pipes in hydrostatic testing. The finite element model (FEM), and the mechanical model were used to verify and analyze monitored strains. The results showed that FBG achieved real‐time and high‐precision strain monitoring with an error of less than 9.3%, better than BOTDA (less than 22.0%). Compared with FBG, the strain of FEM showed that the error of seamless pipe is less than 6%, and the error of cracked pipe is less than 15%. FEM strain field analysis revealed the failure mode of the confined cracked pipe in tensile fracture of structural adhesive between CFRP and steel substrate. The debonding was identified by the sudden strain drops (4.3%–26.2%) in the cracked area. The leakage was identified by a sudden drop (53.0%) in the slope significantly and fluctuations from the curve of strain and hydrostatic pressure after failure.Highlights Sensor‐embedded CFRP confined cracked pipes prevent leakage and monitor strain. Multiple FBG sensors are more accurate to monitoring the pipe strain than BOTDA. Debonding of CFRP confined cracked pipes is monitored by the sudden strain drop. Leakage of CFRP confined cracked pipes is detected by strain fluctuations.

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CFRP drive shaft damage identification and localization based on FBG sensing network and GWO-BP neural networks

Ding,

Hou

2024

Optical Fiber Technology

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Damage identification of CFRP laminate based on finite element analysis and FBG sensor network

Cited by 7 publications

References 24 publications

Spacecraft Segment Damage Identification Method Based on Fiber Optic Strain Difference Field Reconstruction and Norm Calculation

Spacecraft Segment Damage Identification Method Based on Fiber Optic Strain Difference Field Reconstruction and Norm Calculation

Strain and damage monitoring of optical fiber sensor‐embedded carbon fiber reinforced polymer confined cracked pipes

CFRP drive shaft damage identification and localization based on FBG sensing network and GWO-BP neural networks

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