An Analytical Fiber Bragg Grating Sensor-Network Framework for Deformation Monitoring of Spacecraft and Launch-Vehicle Structures

Spacecraft and launch-vehicle structures require lightweight multipoint monitoring under combined mechanical, thermal, and environmental loads. This study presents an analytical fiber Bragg grating (FBG) sensor-network workflow integrating reference-grating temperature compensation, regional strain assessment, opposite-surface curvature sensing, wavelength-division-multiplexing allocation, and strain-to-shape reconstruction. The deterministic compensation case is used only as a self-consistency check, whereas practical robustness is assessed through 10,000 Monte Carlo trials incorporating packaged-coefficient mismatch, temperature nonuniformity, wavelength noise, strain-transfer variation, drift, and calibration uncertainty. The calibrated estimator achieved a median strain mean absolute error of 1.73 με and a 95th-percentile error of 4.22 με. The defined finite-element benchmarks produced a maximum engine-mount truss strain of 456.2 με under the defined loads and a median full-field panel-reconstruction normalized root-mean-square error of 1.29% for 18 sensing locations with 2 με noise. Conservative WDM analysis yielded 54, 13, and 16 channels for three operating envelopes, and the prescribed random-vibration spectrum produced 6.78 grms. These results demonstrate a reproducible numerical proof of concept and define practical limits for compensation, spectral allocation, curvature interpretation, and inverse reconstruction; they do not constitute experimental validation or flight qualification.

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Publication Details

Journal
Journal of Sensor and Actuator Networks
Published
2026-08-26
DOI
https://doi.org/10.3390/jsan15050071
Primary Topic
Advanced Fiber Optic Sensors
Type
article
Field-Weighted Citation Impact
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article

An Analytical Fiber Bragg Grating Sensor-Network Framework for Deformation Monitoring of Spacecraft and Launch-Vehicle Structures

Gulbahar Yussupova, Akezhan Sabibolda, Нуржигит Смайлов, Kydyrali Yssyraiyl et al.
Journal of Sensor and Actuator Networks
Advanced Fiber Optic Sensors
article

An Analytical Fiber Bragg Grating Sensor-Network Framework for Deformation Monitoring of Spacecraft and Launch-Vehicle Structures

Gulbahar Yussupova, Akezhan Sabibolda, Нуржигит Смайлов, Kydyrali Yssyraiyl, Zhiger Zhanatayuly, Askhat Batyrgaliyev, Sauletbek Koshkinbayev, Ainur Kuttybayeva
article en

Abstract

Spacecraft and launch-vehicle structures require lightweight multipoint monitoring under combined mechanical, thermal, and environmental loads. This study presents an analytical fiber Bragg grating (FBG) sensor-network workflow integrating reference-grating temperature compensation, regional strain assessment, opposite-surface curvature sensing, wavelength-division-multiplexing allocation, and strain-to-shape reconstruction. The deterministic compensation case is used only as a self-consistency check, whereas practical robustness is assessed through 10,000 Monte Carlo trials incorporating packaged-coefficient mismatch, temperature nonuniformity, wavelength noise, strain-transfer variation, drift, and calibration uncertainty. The calibrated estimator achieved a median strain mean absolute error of 1.73 με and a 95th-percentile error of 4.22 με. The defined finite-element benchmarks produced a maximum engine-mount truss strain of 456.2 με under the defined loads and a median full-field panel-reconstruction normalized root-mean-square error of 1.29% for 18 sensing locations with 2 με noise. Conservative WDM analysis yielded 54, 13, and 16 channels for three operating envelopes, and the prescribed random-vibration spectrum produced 6.78 grms. These results demonstrate a reproducible numerical proof of concept and define practical limits for compensation, spectral allocation, curvature interpretation, and inverse reconstruction; they do not constitute experimental validation or flight qualification.

Journal of Sensor and Actuator NetworksVol. 15(5)
Satbayev University (KZ), Almaty University of Power Engineering and Telecommunications (KZ), South Kazakhstan Medical Academy (KZ)
Openalex Percentile: Top 19%
Advanced Fiber Optic Sensors
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