Fiber Bragg grating plate structure shape reconstruction algorithm based on orthogonal curve net

Zhang, Hesheng; Zhu, Xiaojin; Liu, Kaining; Jiang, Fan

doi:10.1177/1045389x16641204

Cited by 20 publications

(9 citation statements)

References 20 publications

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“…Techniques utilizing FOSSs provide a great opportunity for real-time structural health and control of aerospace structures [149][150][151]. Lightweight, distributed sensing and multi parameters measurement using FOSS are truly advantageous in aerospace applications, where detection and localization of structure shape changes are critical.…”

Section: Aerospacementioning

confidence: 99%

Recent developments in fibre optic shape sensing

et al. 2018

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This paper presents a comprehensive critical review of technologies used in the development of fibre optic shape sensors (FOSSs). Their operation is based on multi-dimensional bend measurements using a series of fibre optic sensors. Optical fibre sensors have experienced tremendous growth from simple bend sensors in 1980s to full three-dimensional FOSSs using multicore fibres in recent years. Following a short review of conventional contact-based shape sensor technologies, the evolution trend and sensing principles of FOSSs are presented. This paper identifies the major optical fibre technologies used for shape sensing and provides an account of the challenges and emerging applications of FOSSs in various industries such as medical robotics, industrial robotics, aerospace and mining industry.

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Section: Aerospacementioning

confidence: 99%

Recent developments in fibre optic shape sensing

et al. 2018

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“…The key to the strain-based shape sensing method is to accurately establish the relationship between strain and displacement. A lot of methods have been proposed, such as Ko's displacement theory [4], modal transformation theory [5], curvature-based method [6], and inverse finite element method (iFEM) [7]. Among them, the iFEM method is independent of the loading conditions and material information of the structure, which can be considered a promising candidate for the shape sensing of space antennas.…”

Section: Introductionmentioning

confidence: 99%

Inverse finite element-based shape reconstruction method for large-scale space antenna

Huang

2023

Materials Research Proceedings

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Abstract. Large-scale space antennas will experience rapid temperature changes and non-uniform temperature distribution during orbit operation. These thermal excitations will lead to unpredictable deformation of the antenna. To ensure its normal operation, real-time and reliable shape monitoring of the antenna is necessary for further array correction and compensation. The structural shape reconstruction method based on strain information and fiber Bragg grating sensors is one of the most potent methods. This paper proposed an inverse finite element-based shape reconstruction method with variable element size for a honeycomb sandwich antenna panel under changing and non-uniform temperature environment. The size of the inverse finite element is optimized by the displacement gradient, which reduces the total number of elements and improves the efficiency of the shape reconstruction algorithm. The proposed method is validated with a honeycomb sandwich antenna panel numerically and experimentally.

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“…Several methods have been proposed to estimate the deformed displacements or shapes by utilizing the measured strains from FBG strain sensors. Geometry interpolation method fits experimentally measured strains into an a priori set of global and piece-wise continuous basis functions, and then the displacement field was evaluated [ 5 , 6 , 7 , 8 ]. Geometry interpolation method is very effective for the reconstruction of one-dimensional deformations.…”

Section: Introductionmentioning

confidence: 99%

Efficient Sensor Placement Optimization for Shape Deformation Sensing of Antenna Structures with Fiber Bragg Grating Strain Sensors

Zhou

Cai

Zhao

et al. 2018

Sensors

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This paper investigates the problem of an optimal sensor placement for better shape deformation sensing of a new antenna structure with embedded or attached Fiber Bragg grating (FBG) strain sensors. In this paper, the deformation shape of the antenna structure is reconstructed using a strain–displacement transformation, according to the measured discrete strain data from limited FBG strain sensors. Moreover, a two-stage sensor placement method is proposed using a derived relative reconstruction error equation. In this method, the initial sensor locations are determined using the principal component analysis based on orthogonal trigonometric (i.e., QR) decomposition, and then a new location is sequentially added into the initial sensor locations one by one by minimizing the relative reconstruction error considering information redundancy. The numerical simulations are conducted, and the comparisons show that the proposed method is advantageous in terms of the sensor distribution and computational cost. Experimental validation is performed using an antenna experimental platform equipped with an optimal FBG strain sensor configuration, and the reconstruction results show good agreements with those measured directly from displacement sensors. The proposed method has a large potential for the strain sensor placement of complex structures, and the proposed antenna structure with FBG strain sensors can be applied to the future wing-skin antenna or flexible space-based antenna.

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Fiber Bragg grating plate structure shape reconstruction algorithm based on orthogonal curve net

Cited by 20 publications

References 20 publications

Recent developments in fibre optic shape sensing

Recent developments in fibre optic shape sensing

Inverse finite element-based shape reconstruction method for large-scale space antenna

Efficient Sensor Placement Optimization for Shape Deformation Sensing of Antenna Structures with Fiber Bragg Grating Strain Sensors

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