Fiber Bragg Grating Based Load Monitoring for Carrier-Based Aircraft Main Landing Gear

A three-dimensional load regression system based on fiber Bragg grating strain sensor is proposed to meet the load monitoring requirements of the main landing gear of an aircraft during take-off and landing. The FBG sensors, featuring a strain resolution of 1 με and a strain sensitivity of 1.18 pm/με, were selected to ensure precise strain acquisition. Through three-dimensional modeling and static simulation of the main landing gear, the strain response trend of the structure under this load state is obtained as a reference for sensor placement. On this basis, the sensor networking scheme is designed, and the ground static load of the main landing gear is calibrated. The strain-load regression matrix model for the measured main landing gear is constructed through the collected strain data, and the reliability of its prediction is verified. The results show that the system can effectively monitor the structural load, and the error between the back-calculated regression load and the applied load is within 4%.

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Publication Details

Journal
Sensors
Published
2025-09-05
DOI
https://doi.org/10.3390/s25175559
Primary Topic
Gear and Bearing Dynamics Analysis
Type
article
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article

Fiber Bragg Grating Based Load Monitoring for Carrier-Based Aircraft Main Landing Gear

Heng Huang, Xin Pang, Guang Yan, Weijun Xue
Sensors
Gear and Bearing Dynamics Analysis
article

Fiber Bragg Grating Based Load Monitoring for Carrier-Based Aircraft Main Landing Gear

Heng Huang, Xin Pang, Guang Yan, Weijun Xue
article en

Abstract

A three-dimensional load regression system based on fiber Bragg grating strain sensor is proposed to meet the load monitoring requirements of the main landing gear of an aircraft during take-off and landing. The FBG sensors, featuring a strain resolution of 1 με and a strain sensitivity of 1.18 pm/με, were selected to ensure precise strain acquisition. Through three-dimensional modeling and static simulation of the main landing gear, the strain response trend of the structure under this load state is obtained as a reference for sensor placement. On this basis, the sensor networking scheme is designed, and the ground static load of the main landing gear is calibrated. The strain-load regression matrix model for the measured main landing gear is constructed through the collected strain data, and the reliability of its prediction is verified. The results show that the system can effectively monitor the structural load, and the error between the back-calculated regression load and the applied load is within 4%.

SensorsVol. 25(17)
Beijing Information Science & Technology University (CN), Nanjing University of Aeronautics and Astronautics (CN)
Openalex Percentile: Top 76%
Gear and Bearing Dynamics Analysis
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Fiber Bragg Grating Based Load Monitoring for Carrier-Based Aircraft Main Landing Gear — Heng Huang, Xin Pang, et al. · Sensors (2025) | TGRS Research Map | TGRS