Nonlinear elastic wave propagation and breathing-debond identification in a smart composite structure

Sikdar, Shirsendu; Paepegem, Wim Van; Ostachowicz, Wiesław; Kersemans, Mathias

doi:10.1016/j.compositesb.2020.108304

Cited by 17 publications

(2 citation statements)

References 41 publications

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“…Nonlinear guided wave (GW) based structural health monitoring (SHM) technology is a potential tool for determining damage hidden inside a structure due to its sensitivity to incredibly small faults and its capacity for long-distance travel [1][2][3][4]. Numerous studies have utilized the approach of nonlinear GW for the assessment of debonding in stiffened panel structures [5][6][7][8]. The implemented techniques are based on the nonlinearity caused by the opening and closing (clapping effect) of the breathing gap of debonding as a wave passes through it.…”

Section: Introductionmentioning

confidence: 99%

Numerical study of nonlinear interaction of the guided wave due to breathing type debonding in stiffened panel

Kumar,

Banerjee,

Guha

2024

Eng. Res. Express

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The common tool for assessment of breathing-type debonding in metallic or composite structures is nonlinear guided wave-based technique. The past studies show that with debonding size, the strength of the nonlinearity does not exhibit strictly increasing or decreasing trends, or that the monocity is valid up to a certain size limit of debonding. This paper presents the study of non-linear interaction of guided waves in the debonding interface of a metallic stiffened panel. The study attempts to establish a relationship between the contact energy generated by the contact acoustic nonlinearity (CAN) at the debonding interface and the associated nonlinearity strength for various debonding sizes at various excitation frequencies. A numerical model of the stiffened panels is developed in three-dimensional finite element (FE) and validated with experiments for the study of interaction of nonlinear guided waves. The validated FE model is used to conduct studies on nonlinear interactions in debonding. The outcome of this study contributes to a better understanding of how guided waves can be used to effectively assess the debonding in metallic stiffened panels by considering non-linear interactions at the debonding interface. The study also provides insights into a more accurate and consistent quantification of the debonding using higher harmonic signals and contact energy produced by non-linear interactions.

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Section: Introductionmentioning

confidence: 99%

Numerical study of nonlinear interaction of the guided wave due to breathing type debonding in stiffened panel

Kumar,

Banerjee,

Guha

2024

Eng. Res. Express

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“…Nevertheless, regardless of the popularity and proven effectiveness of UT for SHM, implementation of UT usually entails a deliberately designed transducer network in a dense configuration, using commercially available transducers, as typified by metal-foil strain gauges, 11 lead zirconate titanate (PZT) wafers, [12][13][14][15][16][17][18] optical fibres, 19 electromagnetic acoustic transducers (EMATs) 20 and piezoelectric polymer film-type sensors (e.g. polyvinylidene fluoride (PVDF)).…”

Section: Introductionmentioning

confidence: 99%

Ultrasound tomography for health monitoring of carbon fibre–reinforced polymers using implanted nanocomposite sensor networks and enhanced reconstruction algorithm for the probabilistic inspection of damage imaging

Yang

Liao

et al. 2021

Structural Health Monitoring

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Irrespective of the popularity and demonstrated effectiveness of ultrasound tomography (UT) for damage evaluation, reconstruction of a precise tomographic image can only be guaranteed when a dense transducer network is used. However, a network using transducers such as piezoelectric wafers integrated with the structure under inspection unavoidably lowers local material strength and consequently degrades structural integrity. With this motivation, an implantable, nanocomposite-inspired, piezoresistive sensor network is developed for implementing in situ UT-based structural health monitoring of carbon fibre–reinforced polymer (CFRP) laminates. Individual sensors in the network are formulated with graphene nanosheets and polyvinylpyrrolidone, fabricated using a spray deposition process and circuited via highly conductive carbon nanotube fibres as wires, to form a dense sensor network. Sensors faithfully respond to ultrasound signals of megahertz. With ignorable intrusion to the host composites, the implanted sensor network, in conjunction with a UT approach that is enhanced by a revamped reconstruction algorithm for the probabilistic inspection of damage–based imaging algorithm, has proven capability of accurately imaging anomaly in CFRP laminates and continuously monitoring structural health status, while not at the cost of sacrificing the composites’ original integrity.

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Interlaminar damage assessment method of CFRP laminate based on Synchrosqueezed Wavelet Transform and ensemble Principal Component Analysis

Dong

2021

Composite Structures

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Nonlinear elastic wave propagation and breathing-debond identification in a smart composite structure

Cited by 17 publications

References 41 publications

Numerical study of nonlinear interaction of the guided wave due to breathing type debonding in stiffened panel

Numerical study of nonlinear interaction of the guided wave due to breathing type debonding in stiffened panel

Ultrasound tomography for health monitoring of carbon fibre–reinforced polymers using implanted nanocomposite sensor networks and enhanced reconstruction algorithm for the probabilistic inspection of damage imaging

Interlaminar damage assessment method of CFRP laminate based on Synchrosqueezed Wavelet Transform and ensemble Principal Component Analysis

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