The Analysis of FBG Central Wavelength Variation with Crack Propagation Based on a Self-Adaptive Multi-Peak Detection Algorithm

Zhang, Weifang; Zhang, Meng; Wang, Xiangyu; Zhao, Yan; Jin, Bo; Dai, Wei

doi:10.3390/s19051056

Cited by 24 publications

(12 citation statements)

References 62 publications

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“…Then, the crack tip is near the FBG sensors, the The region surrounded by the primary peak of the reflection spectrum with reflectivity higher than a certain threshold (I threshold ) is taken as the spectral area, which is equal to the sum of trapezoid areas composed of all adjacent sampling points and the threshold (I threshold ). The area can be calculated by Equation (8).…”

Section: Calculation Methods Of Damage Feature-spectral Areamentioning

confidence: 99%

“…Many damage features factors were extracted from the distorted spectra based on the response. Zhang, W. et al [8] presented that the central wavelength of FBG reflection spectra shifts with the variation of structural strain field. When the axial uniform strain sensed by FBG sensors increases, the central wavelength increases linearly; while the spectra distorted by axial non-uniform strain, the central wavelength shift does not follow the linear relationship.…”

Section: Introductionmentioning

confidence: 99%

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The Location Monitoring of Fatigue Crack Damage by Using the Spectral Area Extracted from FBG Spectra

Zhao

Zhang

et al. 2020

Sensors

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In this paper, a new damage feature, spectral area, was extracted to effectively detect crack location by studying the deformation mechanism of fiber Bragg grating (FBG) reflection spectra. In order to verify the robustness and reliability of spectral area to detect crack location, the following work was carried out: Firstly, the strain information was extracted by extended finite element method (XFEM) with fatigue crack propagation. The transmission matrix method (TMM) was used to simulate FBG reflection spectra using numerical results. Secondly, the fatigue crack growth monitoring experiment based on FBG sensors was carried out, and the digital image correlation (DIC) method was used to measure the strain values at the placement of FBG sensors with crack propagation. The temperature characteristic test of FBG was carried out to investigate the influence of temperature variation on the spectral area. The results presented that the spectral area was insensitive to temperature variation and experimental noise, and was greatly sensitive to the complex non-uniform strain field cause by crack damage. Moreover, compared with the 5 mm FBG sensor, the 10 mm FBG sensor showed a larger critical detection range for crack damage. Therefore, the spectral area can be used as a reliable damage feature to detect the crack location quantitatively based on the simulated and experimental results.

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Section: Calculation Methods Of Damage Feature-spectral Areamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Location Monitoring of Fatigue Crack Damage by Using the Spectral Area Extracted from FBG Spectra

Zhao

Zhang

et al. 2020

Sensors

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“…Finally, the choice of damage features should consider the central wavelength shifting caused by the temperature fluctuation effect. Consequently, a Bragg wavelength peak shifting is excluded from the damage features because the feature is converted into a measure of the uniform strain along the axis of the grating and the temperature changes [7]. Accordingly, if the damage propagation is close to the sensor, the spectral distortion and sensitivity features extracted from the signal response can be used to detect structural damage.…”

Section: Introductionmentioning

confidence: 99%

Detection of Crack Locations in Aluminum Alloy Structures Using FBG Sensors

Zhang

Lan

et al. 2020

Sensors

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This study investigated the reflected spectral deformation mechanism of fiber Bragg grating (FBG) sensors with crack propagation. This analysis was performed based on the simulated FBG response by applying modified-transfer matrix modeling (TMM) with the strain states, which were extracted by the finite element method (FEM) analysis. Experimental data were obtained from FBG sensors bonded in an aluminum alloy structure and subjected to multiple crack lengths, and the strain values were obtained by digital image correlation (DIC) technology. Based on the simulations and the experimental full spectral response, we compared the performance of two damage features: The full width at half maximum (FWHM) and the spectral difference. In addition, results showed that the two features were insensitive to experimental noise and were highly sensitive to the complex strain field caused by crack propagation. Moreover, the damage features changes in the crack propagation process also provided a way for crack position measurement. Ultimately, the 10 mm grating lengths sensors showed better performance to the crack detection with longer sensitivity distance. According to the research in this paper, the crack position was quantitatively determined by evaluating different damage features of the reflected spectrum.

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“…Compared with the conventional electrical sensors, the FBG technique has various inherent advantages, such as non-conductivity, resistance to corrosion, and immunity to electromagnetic interference [ 5 , 6 , 7 , 8 , 9 , 10 ]. FBG has been reported with promising sensitivity and accuracy for deformation measurement [ 11 , 12 , 13 ]. FBG has been applied in many sensing applications, such as temperature sensors [ 14 , 15 ], acoustic sensors [ 16 ], and stress [ 17 ] or strain [ 18 , 19 , 20 ] sensors.…”

Section: Introductionmentioning

confidence: 99%

Structural Instability-Enabled Mechanical Sensors Using Fiber Bragg Grating

Jiao

Xie

et al. 2020

Materials

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Structural health monitoring (SHM) has been extensively used in civil infrastructures to assess structural condition and situation. Here, we develop a novel type of mechanical sensing technique using the structural instability of cylindrical cells detected by fiber Bragg grating (FBG). The cylinders are fabricated using a 3D printing technique, which are coiled by the FBG wires to detect the transverse deformation. Structural instability under axial compression is obtained in the experiments and the force–displacement relations are validated by the numerical simulations with satisfactory agreements. The wavelength variation of the FBG, caused by the structural instability, is observed and compared with the predefined threshold. Defining the variation larger than the threshold as “1” and smaller as “0”, the pattern recognition algorithm is used to convert the FBG results into binary data, which can, therefore, be analyzed to indicate the structural conditions. In the end, we envision the potential applications of the reported sensing technique, such as wireless sensors for structural health monitoring (SHM) in civil infrastructures.

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The Analysis of FBG Central Wavelength Variation with Crack Propagation Based on a Self-Adaptive Multi-Peak Detection Algorithm

Cited by 24 publications

References 62 publications

The Location Monitoring of Fatigue Crack Damage by Using the Spectral Area Extracted from FBG Spectra

The Location Monitoring of Fatigue Crack Damage by Using the Spectral Area Extracted from FBG Spectra

Detection of Crack Locations in Aluminum Alloy Structures Using FBG Sensors

Structural Instability-Enabled Mechanical Sensors Using Fiber Bragg Grating

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