Damage localisation in plate-like structures based on PZT sensors

Ostachowicz, Wiesław; Kudela, Paweł; Malinowski, Paweł; Wandowski, Tomasz

doi:10.1016/j.ymssp.2008.10.011

Cited by 135 publications

(76 citation statements)

References 18 publications

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“…Propagating in either symmetric or anti-symmetric modes, Lamb waves are multimodal and dispersive in nature, usually with several modes propagating at the same time with respective velocities. Prevailing signal features of interest for the purpose of damage identification can be the delay in time-offlight (ToF) [17][18][19], wave reflection/transmission [20,21], mode conversion [3], or energy dissipation [4]. These signal features, as briefly mentioned earlier, are usually based on the assumption of linear wave propagation and linear material property changes (due to structural damage), and are therefore referred to as linear features in this study.…”

Section: Relative Acoustic Nonlinearity Parametermentioning

confidence: 99%

Uncertainty quantification for acoustic nonlinearity parameter in Lamb wave-based prediction of barely visible impact damage in composites

Hong

Mao

Todd

et al. 2017

Mechanical Systems and Signal Processing

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a b s t r a c tNonlinear features extracted from Lamb wave signals (e.g., second harmonic generation) are demonstrably sensitive to microscopic damage, such as fatigue and material thermal degradation. While a majority of the existing studies in this context is focused on detecting undersized damage in metallic materials, the present study is aimed at expanding such a detection philosophy to the domain of composites, by linking the relative acoustic nonlinearity parameter (RANP) -a prominent nonlinear signal feature of Lamb waves -to barely visible impact damage (BVID) in composites. Nevertheless, considering immense uncertainties inevitably embedded in acquired signals (due to instrumentation, environment, operation, computation/estimation, etc.) which can adversely obfuscate nonlinear features, it is necessary to quantify the uncertainty of the RANP (i.e., its statistics) in order to enhance decision-making associated with its use as a detection feature. A probabilistic model is established to numerically evaluate the statistical distribution of the RANP. Using piezoelectric wafers, Lamb waves are acquired and processed to produce histograms of RANP estimates in both the healthy and damaged conditions of a CF/EP laminate, to which the model is compared, with good agreement observed between the model-predicted and experimentally-obtained statistic distributions of the RANP. With the model, BVID in the laminate is predicted. The model is further made use of to quantify the level of confidence in damage prediction results based on the concept of a receiver operating characteristic, enabling the practitioners to better understand the obtained results in the presence of uncertainties.

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Section: Relative Acoustic Nonlinearity Parametermentioning

confidence: 99%

Uncertainty quantification for acoustic nonlinearity parameter in Lamb wave-based prediction of barely visible impact damage in composites

Hong

Mao

Todd

et al. 2017

Mechanical Systems and Signal Processing

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“…유도초음파의 수치 해석 또는 시뮬레이션은 일반적으로 제안된 방법의 손상 식별 또는 재료의 특성을 확인하기 위해 사용되어 왔다. 예를 들어 일련의 연구들은 압전 진동자(Piezoelectric actuator)를 이용한 결함의 탐지에 초점을 맞추고 (Dinkler et al, 2008;Ostachowicz et al, 2009), 다른 연구들의 경우 유한 요소 법을 이용한 파 전파 해석에 초점을 맞추고 있다 (Woo et al 2007;Kim et al 2008). 사용된 수치 시뮬레이션 방법으로는 유 한요소법, 경계요소법, 준해석적 유한요소법, 동탄성 유한적분 법 또는 분산원법 등이 있다 (Kim et al 2008 (Wang et al, 2010;Kažys et al, 2006).…”

Section: 서 론unclassified

Finite Element Simulation of Elastic Waves for Detecting Defects and Deteriorations in Underwater Steel Plates

Woo¹,

Na²

2013

Journal of Ocean Engineering and Technology

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“…From the signals collected by sensors, the significant frequency component is separated by means of signal processing methods. Wavelet Transform (WT) is preferred by most of authors [9,13], Wigner-Ville Distribution [14] or ShortTime Fourier Transform [15] were also proposed. In this case wavelet transform was chosen, because it provides best determination of time-of-arrival of acoustic event among mentioned methods.…”

Section: Introductionmentioning

confidence: 99%

Determination of group velocity of propagation of Lamb waves in aluminium plate using piezoelectric transducers

Lašová

Zemčík²

2017

ACM

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A prior knowledge of group velocities of Lamb wave modes is a key for analysis of time signals in guidedwave based structural health monitoring. The identification of multiple wave modes may be complicated due to dependency of group velocity on frequency (dispersion). These dependencies for infinite plate of constant thickness can be calculated by a numerical solution of analytic equation. Two alternative approaches to determine group velocities of zero-order Lamb wave modes in aluminum plate were used in this work: Two-dimensional Fast Fourier Transform (2D-FFT) and methods of time-frequency processing. 2D-FFT requires a high number of time signals in equidistant points, therefore it was applied on data from finite element analysis of wave propagation in the plate. Group velocities for chosen frequencies were also determined using wavelet transform (WT) of signals as differencies of times of arrival measured by a pair of piezoelectric transducers. The results from 2D-FFT and wavelet transform were compared to the analytic solution.

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Damage localisation in plate-like structures based on PZT sensors

Cited by 135 publications

References 18 publications

Uncertainty quantification for acoustic nonlinearity parameter in Lamb wave-based prediction of barely visible impact damage in composites

Uncertainty quantification for acoustic nonlinearity parameter in Lamb wave-based prediction of barely visible impact damage in composites

Finite Element Simulation of Elastic Waves for Detecting Defects and Deteriorations in Underwater Steel Plates

Determination of group velocity of propagation of Lamb waves in aluminium plate using piezoelectric transducers

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