New trends in non-destructive evaluation in relation to the smart materials concept

Gobin, P.F.; Jayet, Y.; Baboux, J.C.; Salvia, Michelle; Chateauminois, A.; Abry, J. C.; Giraud, Guillaume

doi:10.1080/00207720050197749

Cited by 9 publications

(7 citation statements)

References 16 publications

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“…This would allow detecting the smallest change in ∆t even when the bandwidth of the measurement (W ) is limited. Figure (5) shows the reflection coefficient magnitude in the time domain for two time shifts, namely ∆t 1 and ∆t 2 . On the same graphs, the first seven steps of the sequence that would be obtained using IFFT are marked.…”

Section: A Shorted Rectangular Waveguidementioning

confidence: 99%

IFFT-Based Microwave Non-Destructive Testing for Delamination Detection and Thickness Estimation

Jawad

Akbar

2021

IEEE Access

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Microwave Non-Destructive Testing (NDT) techniques for dielectric coatings are vital processes in many industrial applications due to their superior defect detection capabilities over traditional NDT methods. However, the limited bandwidth and post-processing complexities of these techniques cause them to fall short of accurately estimating the delamination thickness in such structures. In this paper, a novel low-complexity signal processing method is proposed to estimate the delamination thickness in metalbacked dielectric coatings using bandwidth-limited Open-Ended Rectangular Waveguide (OERW) probes. Here, Inverse Fast Fourier Transform (IFFT) process is used to convert the measured complex reflection coefficients at the surface of the coating to the time domain. Next, the amplitude of a specific time step is used to accurately estimate the delamination thickness without extra time-consuming processing. Using a 3 mm-thick macor samples with machined defects, the proposed technique is validated by correctly estimating delamination thickness down to 0.4 mm using an OERW probe with 13.5 GHz bandwidth. Hence, this technique overcomes the challenge of the OERW's limited bandwidth, which highly affects the possibility of tracking shifting in the peak reflection in the time domain. Moreover, the proposed method does not add to the complexity of the NDT process, which makes it suitable for in-situ real time applications. Hence, following this approach would be of great importance to numerous industries, where accurate thickness estimation of minute delamination in coatings is essential to avoid system failure.

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Section: A Shorted Rectangular Waveguidementioning

confidence: 99%

IFFT-Based Microwave Non-Destructive Testing for Delamination Detection and Thickness Estimation

Jawad

Akbar

2021

IEEE Access

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“…A maximum allowable error is set approximately as 25%, which is changeable according to the actual effect of damage detection. The converted values (AO) of the real outputs (RO) of cases EP1, EP2 and EP3 are also listed in table 4. From table 4 one can find that the results of cases EP2 and EP3 can accurately indicate the crack damage status of the plate specimens, and the average error of case EP3 is about 15%, but the average error of case EP2 is about 25%.…”

Section: Structural Dynamic Testing and Crack Damage Identificationmentioning

confidence: 99%

Identification of complex crack damage for honeycomb sandwich plate using wavelet analysis and neural networks

Yam

Yan

et al. 2003

Smart Mater. Struct.

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In this study, crack damage detection for a honeycomb sandwich plate is studied using the energy spectrum of dynamic response decomposed by wavelet transform and the artificial neural network (NN). The results show that taking the energy spectrum of the decomposed wavelet signals of dynamic responses as the inputs of the NN can simplify the NN design for structural damage detection and it possesses a high sensitivity to small damage. Experimental results also show that the NN designed in this study can accurately detect multiple damage parameters or give some significant reference range of the damage parameters.

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“…Vibration responses at few spots of an in-service structure can be easily measured using the technology of piezoelectric smart structures (Gobin et al, 2000). However, the raw response signal in time domain cannot be used directly to identify structural damage quantitatively.…”

Section: Dynamic Finite Element Model Of a Sandwich Plate With Crack mentioning

confidence: 99%

Vibration-based construction and extraction of structural damage feature index

Yan

Hao²,

Yam

2004

International Journal of Solids and Structures

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New trends in non-destructive evaluation in relation to the smart materials concept

Cited by 9 publications

References 16 publications

IFFT-Based Microwave Non-Destructive Testing for Delamination Detection and Thickness Estimation

IFFT-Based Microwave Non-Destructive Testing for Delamination Detection and Thickness Estimation

Identification of complex crack damage for honeycomb sandwich plate using wavelet analysis and neural networks

Vibration-based construction and extraction of structural damage feature index

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