Acoustic source localization in anisotropic plates

Kundu, Tribikram; Nakatani, Hayato; Takeda, Nobuo

doi:10.1016/j.ultras.2012.01.017

Cited by 212 publications

(170 citation statements)

References 24 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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“…Source localization method developed by Kundu et al [12,13] is used in this study. This method could localize an acoustic source in an anisotropic plate with only six receiving sensors.…”

Section: Impact Detectionmentioning

confidence: 99%

“…As described, this method only requires the knowledge of TDOA, one could obtain accurate results even on anisotropic plates or complex shaped structures. The full description of the method could be found in the [12,13].…”

Section: Impact Detectionmentioning

confidence: 99%

“…Furthermore, due to their anisotropic nature, existing impact detection methods have shown some limitations on impact localization. In order to overcome such limitations, several new methods are also developed [9][10][11][12][13][14]. It should be pointed out that all of these algorithms are carried out autonomously without human intervention.…”

Section: Introductionmentioning

confidence: 99%

“…For experiment and demonstration, a wing shape structure was designed and the method of source localization on anisotropic plates proposed by Kundu et al [12] was adopted. Haptic signals are then designed and wirelessly transmitted to human arms to provide the necessary information on impact events, locations, and intensity.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Structural impact detection with vibro-haptic interfaces

Jung¹,

Park²,

Todd³

2016

Smart Mater. Struct.

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This paper presents a new sensing paradigm for structural impact detection using vibro-haptic interfaces. The goal of this study is to allow humans to 'feel' structural responses (impact, shape changes, and damage) and eventually determine health conditions of a structure. The target applications for this study are aerospace structures, in particular, airplane wings. Both hardware and software components are developed to realize the vibro-haptic-based impact detection system. First, L-shape piezoelectric sensor arrays are deployed to measure the acoustic emission data generated by impacts on a wing. Unique haptic signals are then generated by processing the measured acoustic emission data. These haptic signals are wirelessly transmitted to human arms, and with vibro-haptic interface, human pilots could identify impact location, intensity and possibility of subsequent damage initiation. With the haptic interface, the experimental results demonstrate that human could correctly identify such events, while reducing false indications on structural conditions by capitalizing on human's classification capability. Several important aspects of this study, including development of haptic interfaces, design of optimal human training strategies, and extension of the haptic capability into structural impact detection are summarized in this paper.

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Nondestructive Evaluation

Kundu

2016

Kirk-Othmer Encyclopedia of Chemical Technology

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Acoustic source localization in anisotropic plates

Cited by 212 publications

References 24 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

Structural impact detection with vibro-haptic interfaces

Nondestructive Evaluation

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