From the reflected spectrum to the properties of a fiber Bragg grating: a genetic algorithm approach with application to distributed strain sensing

Casagrande, F.; Crespi, P.; Grassi, Anna; Lulli, A.; Kenny, Robert P.; Whelan, Maurice

doi:10.1364/ao.41.005238

Cited by 47 publications

(28 citation statements)

References 12 publications

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“…For the sake of the simulation, the grating is divided into fifty equal sections. On the basis of the calculated reflection spectrum, the reconstruction of the grating parameters is performed using the Nelder-Mead simplex algorithm with the objective function, in accordance with (10), where it is assumed that α 1 = L, α 2 = Λ, α 3 = δn eff , α 4 = ρ. The optimization procedure is performed as shown in the diagram in Fig.…”

Section: Results Of the Simulationmentioning

confidence: 99%

Distributed Strain Reconstruction Based on a Fiber Bragg Grating Reflection Spectrum

Detka¹

2013

Metrology and Measurement Systems

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In this paper, we present a synthesis of the parameters of the fiber Bragg grating (FBG) and the reconstruction of the distributed strain affecting the grating, performed by means of its reflection spectrum. For this purpose, we applied the transition matrix method and the Nelder-Mead nonlinear optimization method. Reconstruction results of the strain profile carried out on the basis of a simulated reflection spectrum as well as measured reflection spectrum of the FBG indicate good agreement with the original strain profile; the profile reconstruction errors are within the single digit percentage range. We can conclude that the Nelder-Mead optimization method combined with the transition matrix method can be used for distributed sensing problems.

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Section: Results Of the Simulationmentioning

confidence: 99%

Distributed Strain Reconstruction Based on a Fiber Bragg Grating Reflection Spectrum

Detka¹

2013

Metrology and Measurement Systems

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“…To save cost, this approach is mainly based on the intensity spectrum approach [4][5][6][7][8][9][10]. Meanwhile, phase spectrum [11] and complex spectra (i.e.…”

Section: Measurement Science and Technologymentioning

confidence: 99%

Reconstruction of structural damage based on reflection intensity spectra of fiber Bragg gratings

Huang¹,

Wei²,

Chen³

et al. 2014

Meas. Sci. Technol.

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We present an approach for structural damage reconstruction based on the reflection intensity spectra of fiber Bragg gratings (FBGs). Our approach incorporates the finite element method, transfer matrix (T-matrix), and genetic algorithm to solve the inverse photo-elastic problem of damage reconstruction, i.e. to identify the location, size, and shape of a defect. By introducing a parameterized characterization of the damage information, the inverse photo-elastic problem is reduced to an optimization problem, and a relevant computational scheme was developed. The scheme iteratively searches for the solution to the corresponding direct photo-elastic problem until the simulated and measured (or target) reflection intensity spectra of the FBGs near the defect coincide within a prescribed error. Proof-of-concept validations of our approach were performed numerically and experimentally using both holed and cracked plate samples as typical cases of plane-stress problems. The damage identifiability was simulated by changing the deployment of the FBG sensors, including the total number of sensors and their distance to the defect. Both the numerical and experimental results demonstrate that our approach is effective and promising. It provides us with a photo-elastic method for developing a remote, automatic damage-imaging technique that substantially improves damage identification for structural health monitoring.

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“…Chirped gratings enable non-monotonic field profiles and peak localised strain and temperature to be measured and also increase the spatial resolution of the measurement [2]. Prior work on determining intragrating temperature profiles using a hypothesis profile and employing transfer matrix or Fourier grating models require the shape of the temperature profile to be conjectured and programmed [7][8]. Recently, we applied an integration method to operate only on reflectance spectra from a chirped fiber Bragg grating (CFBG) without the requirement for prior knowledge of the shape of a hypothesis temperature profile [9].…”

Section: Introductionmentioning

confidence: 99%

Localized strain measurements using an integration method to process intensity reflection spectra from a chirped FBG

Nand

Kitcher

Wade

et al. 2007

Third European Workshop on Optical Fibre Sensors

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A chirped fiber Bragg grating was used to measure the non-uniform strain profile of a notched aluminum specimen used to simulate a cracked structure. The specimen was subjected to tensile tests that produced regions of non-uniform strain near the notches. Analysis of power reflectance spectra from the grating, through the use of an integration method, enabled the strain profile near the notches to be determined. Unlike other intragrating sensing methods, this method did not require a disturbance hypothesis to be postulated. The strain profile results from this intragrating sensor were in reasonable agreement with predictions from modeling conducted using the finite element method.

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From the reflected spectrum to the properties of a fiber Bragg grating: a genetic algorithm approach with application to distributed strain sensing

Cited by 47 publications

References 12 publications

Distributed Strain Reconstruction Based on a Fiber Bragg Grating Reflection Spectrum

Distributed Strain Reconstruction Based on a Fiber Bragg Grating Reflection Spectrum

Reconstruction of structural damage based on reflection intensity spectra of fiber Bragg gratings

Localized strain measurements using an integration method to process intensity reflection spectra from a chirped FBG

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