Delamination detection in composite laminates using low frequency guided waves: Numerical simulations

Shoja, Siavash; Berbyuk, Viktor; Boström, Anders E

doi:10.1016/j.compstruct.2018.07.025

Cited by 38 publications

(21 citation statements)

References 25 publications

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“…By analyzing the amplitude or variation of propagation velocity of these waves, the non-homogeneities which may be available on objects with various geometries and properties can be detected [1]- [9]. Therefore, guided wave inspection is a convenient tool for the evaluation of the non-homogeneities in composite materials owing to sensitivity of propagation velocity to the material surface and internal defects and capability to propagate long distances with reasonable attenuation [10]- [15]. However, guided waves possess a dispersion phenomenon,…”

Section: Introductionmentioning

confidence: 99%

Metrological Performance of Hybrid Measurement Technique Applied for the Lamb Waves Phase Velocity Dispersion Evaluation

et al. 2020

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The work presents the metrological evaluation of the modified hybrid spectrum decomposition and zero-crossing technique. The presented technique enables to reconstruct the phase velocity dispersion curve part of Lamb wave modes using only two signals. This is set to consequently simplify the of complex guided wave signals analysis. Experimentally measured asymmetric A 0 mode Lamb wave signals propagating in 4 mm thickness non-homogeneous Glass Fibre Reinforced Plastic (GFRP) plate are used for assessment of the proposed technique. The phase velocity dispersion curve (DC) segments are obtained using three different filter bandwidths as reference using the DC obtained by the semi-analytical finite element method SAFE. The proposed technique quantitative and qualitative characteristics are presented. Using this technique and employing various band-pass filters it is shown that the DC segments are reconstructed in approximately 50%-88% bandwidth of the incident signal frequency spectrum. The average of the calculated expanded uncertainties for all filter bandwidths is equal to approximately 2%. The narrower filter bandwidth has produced smaller systematic errors equal to 1.8%, yielding to wider reconstructed dispersion curve segments.

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Section: Introductionmentioning

confidence: 99%

Metrological Performance of Hybrid Measurement Technique Applied for the Lamb Waves Phase Velocity Dispersion Evaluation

et al. 2020

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“…In practice, the excitation signal with a frequency lower than 100 kHz might hardly provide the required resolution for damage monitoring in composite plates. 41 In order to concentrate the majority of wave energy on the desired central frequency, a window function is used on Lamb waves such as Hamming window, Hanning window, or Gaussian window. Hanning window is one of the most widely used window functions with the characteristic of reducing spectrum leakage, the function of which is expressed with discretization from N sampling points as…”

Section: Methodsmentioning

confidence: 99%

Application of artificial neural networks for quantitative damage detection in unidirectional composite structures based on Lamb waves

Qian

Ran

et al. 2020

Advances in Mechanical Engineering

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This article provides a quantitative nondestructive damage detection method through a Lamb wave technique assisted by an artificial neural network model for fiber-reinforced composite structures. For simulating damages with a variety of sizes, rectangular Teflon tapes with different lengths and widths are applied on a unidirectional carbon fiber–reinforced polymer composite plate. Two characteristic parameters, amplitude damage index and phase damage index, are defined to evaluate effects by the shape of the rectangular damage in the carbon fiber–reinforced polymer composite plate. The relationships between the amplitude damage index and phase damage index parameters and the damage sizes in the carbon fiber–reinforced polymer composite plate are quantitatively addressed using a three-layer artificial neural network model. It can be seen that a reasonable agreement is achieved between the pre-assigned damage lengths and widths and the corresponding predictions provided by the artificial neural network model. This shows the great potential of using the proposed artificial neural network model for quantitatively detecting the damage size in fiber-reinforced composite structures.

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“…They showed that the time of flight of symmetric and antisymmetric fundamental modes changes as a result of delamination occurrence and proposed a method of evaluating the damage size based on those changes. Shoja et al [10] showed the results of numerical simulations concerning guided wave propagation in composite laminates with delamination introduced into the model by local stiffness reduction. The problem of propagation of fundamental antisymmetric mode A 0 in composite laminates with semi-infinite debonding was a topic of interest for Ramadas et al [11].…”

Section: Introductionmentioning

confidence: 99%

Guided Wave Propagation in Detection of Partial Circumferential Debonding in Concrete Structures

Zima

2019

Sensors

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The following article presents results of investigating the damage detection in reinforced concrete beams with artificially introduced debonding between the rod and cover, using a non-destructive method based on elastic waves propagation. The primary aim of the research was to analyze the possible use of guided waves in partial circumferential debonding detection. Guided waves were excited and registered in reinforced concrete specimens with varying extents of debonding damage by piezoelectric sensors attached at both ends of the beams. Experimental results in the form of time–domain signals registered for variable extent of debonding were compared, and the relationships relating to the damage size and time of flight and average wave velocity were proposed. The experimental results were compared with theoretical predictions based on dispersion curves traced for the free rod of circular cross-section and rectangular reinforced concrete cross-section. The high agreement of theoretical and experimental data proved that the proposed method, taking advantage of average wave velocity, can be efficiently used for assessing debonding size in reinforced concrete structures. It was shown that the development of damage size in circumferential direction has a completely different impact on wave velocity than development of debonding length. The article contains a continuation of work previously conducted on the detection of delamination in concrete structures. The proposed relationship is the next essential step for developing a diagnostics method for detecting debondings of any size and orientation.

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Delamination detection in composite laminates using low frequency guided waves: Numerical simulations

Cited by 38 publications

References 25 publications

Metrological Performance of Hybrid Measurement Technique Applied for the Lamb Waves Phase Velocity Dispersion Evaluation

Metrological Performance of Hybrid Measurement Technique Applied for the Lamb Waves Phase Velocity Dispersion Evaluation

Application of artificial neural networks for quantitative damage detection in unidirectional composite structures based on Lamb waves

Guided Wave Propagation in Detection of Partial Circumferential Debonding in Concrete Structures

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