Research on non-uniform strain profile reconstruction along fiber Bragg grating via genetic programming algorithm and interrelated experimental verification

Zheng, Shijie; Zhang, Nan; Xia, Yuxing; Wang, Hongtao

doi:10.1016/j.optcom.2013.11.027

Cited by 18 publications

(6 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These single-point sensors can be multiplexed and placed at strategic locations along the fibre to construct a quasi-distributed measurement. Distributed sensing uses the fibre-optical cable to monitor strain across the entire length of the structure under investigation [ 11 , 12 , 13 , 14 , 15 ].…”

Section: Optical Fibre Devices For Strain Sensingmentioning

confidence: 99%

Fibre Bragg Grating Based Strain Sensors: Review of Technology and Applications

Campanella

Cuccovillo²,

Yurt³

et al. 2018

Sensors

374

185

View full text Add to dashboard Cite

Fibre Bragg grating (FBG) strain sensors are not only a very well-established research field, but they are also acquiring a bigger market share due to their sensitivity and low costs. In this paper we review FBG strain sensors with high focus on the underlying physical principles, the interrogation, and the read-out techniques. Particular emphasis is given to recent advances in highly-performing, single head FBG, a category FBG strain sensors belong to. Different sensing schemes are described, including FBG strain sensors based on mode splitting. Their operation principle and performance are reported and compared with the conventional architectures. In conclusion, some advanced applications and key sectors the global fibre-optic strain sensors market are envisaged, as well as the main market players acting in this field.

show abstract

Section: Optical Fibre Devices For Strain Sensingmentioning

confidence: 99%

Fibre Bragg Grating Based Strain Sensors: Review of Technology and Applications

Campanella

Cuccovillo²,

Yurt³

et al. 2018

Sensors

374

185

View full text Add to dashboard Cite

show abstract

“…In other words, the algorithms follow the principle of natural selection. Each of the algorithms has some amount of biological plausibility, and is based on evolution or the simulation of natural systems [1]- [8].…”

Section: Introductionmentioning

confidence: 99%

Modeling and Simulation for High Energy Sub-Nuclear Interactions Using Evolutionary Computation Technique

El-Bakry¹,

El‐Dahshan²,

Radi³

et al. 2016

JAMP

View full text Add to dashboard Cite

High energy sub-nuclear interactions are a good tool to dive deeply in the core of the particles to recognize their structures and the forces governed. The current article focuses on using one of the evolutionary computation techniques, the so-called genetic programming (GP), to model the hadron nucleus (h-A) interactions through discovering functions. In this article, GP is used to simulate the rapidity distribution       N N Y 1 d d of total charged, positive and negative pions for p −-Ar and p −-Xe interactions at 200 GeV/c and charged particles for p-pb collision at 5.02 TeV. We have done so many runs to select the best runs of the GP program and finally obtained the rapidity distribution       N N Y 1 d d as a function of the lab momentum () Lab P , mass number (A) and the number of particles per unit solid angle (Y). In all cases studied, we compared our seven discovered functions produced by GP technique with the corresponding experimental data and the excellent matching was so clear.

show abstract

“…However, the geometric structure is usually complex in practice, and it is difficult to accurately reconstruct the displacements by using the inverse finite element method. The reconstruction method based on non-uniform strain spectrum can reconstruct non-uniform strain profiles along the grating [ 13 ] or determine periodic surface profile oscillation defects of steel materials [ 14 ]. Because of considering non-uniform strains along the Bragg gratings, the method can obtain an accurate strain distribution, which can further improve the accuracy of the deformation reconstruction.…”

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

View full text Add to dashboard Cite

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.

show abstract

Research on non-uniform strain profile reconstruction along fiber Bragg grating via genetic programming algorithm and interrelated experimental verification

Cited by 18 publications

References 17 publications

Fibre Bragg Grating Based Strain Sensors: Review of Technology and Applications

Fibre Bragg Grating Based Strain Sensors: Review of Technology and Applications

Modeling and Simulation for High Energy Sub-Nuclear Interactions Using Evolutionary Computation Technique

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

Contact Info

Product

Resources

About