Multipath ultrasonic guided wave imaging in complex structures

Hall, Julie; Michaels, Jennifer E.

doi:10.1177/1475921715578316

Cited by 79 publications

(45 citation statements)

References 21 publications

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“…Structural Health Monitoring (SHM) techniques can reduce maintenance costs significantly by switching from the schedule-based maintenance to a condition-based maintenance, and by allowing the use of lighter materials such as composite or sandwich panel in the case of aerospace structures [1]. SHM has been studied for decades, leading to the development of a large panel of techniques [2,3,4,5,6,7,8,9,10,11,12,13,14,15]. Among them, techniques based on guided wave (GW) propagation with piezoceramic transducers are cost-effective and allow a quick on-demand inspection of large areas over thin metallic and composite structures [16].…”

Section: Introductionmentioning

confidence: 99%

A model-based approach for statistical assessment of detection and localization performance of guided wave–based imaging techniques

Moriot

Quaegebeur

Duff

et al. 2017

Structural Health Monitoring

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This paper aims at providing a framework for assessing the detection and localization performance of guided wave-based structural health monitoring (SHM) imaging systems. The assessment exploits a damage identification metric (DIM) providing a diagnostic of the structure from an image of the scatterers generated by the system, allowing detection, localization, and size estimation of the damage. Statistical probability of detection (POD) and probability of localization (POL) curves are produced based on values of the DIM for several damage sizes and positions. Instead of relying on arduous measurements on a significant number of structures instrumented in the same way, a model-based approach is considered in this paper for estimating POD and POL curves numerically. This approach is first illustrated on a simplistic model, which allows characterizing the robustness of the SHM system for various levels of noise in test signals. An experimental test case using a more realistic case with an artificial damage is then considered for validating the approach. A good agreement between experimental and numerical values of the DIM and derived POD and POL curves is observed.

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Section: Introductionmentioning

confidence: 99%

A model-based approach for statistical assessment of detection and localization performance of guided wave–based imaging techniques

Moriot

Quaegebeur

Duff

et al. 2017

Structural Health Monitoring

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“…Sum and delay beam forming generally provides an improved resolution for a limited number of sensors, and is less sensitive to noise compared to other imaging techniques making it suitable for structural health monitoring applications [12]. However, sum and delay beam forming can refer to different processing techniques and equations, including the Synthetic Aperture Focusing technique (SAFT) and the total focusing method (TFM) [12][13][14][15][16]. Ultimately, most of the sum and delay beam forming techniques originate from SAFT.…”

Section: Principle and Evolution Of Defect Imaging With Total Focusinmentioning

confidence: 99%

“…They generate artefacts making it difficult to differentiate between pixels representing artefacts and actual defects [13]. A solution is to enhance changes due to damage by subtracting the baseline signal to the test signal after each assessment [10].…”

Section: Principle and Evolution Of Defect Imaging With Total Focusinmentioning

confidence: 99%

“…Recent studies focused on the development of guided wave imaging systems in the time domain, including, through the use of triangulation [10], sum and delay beam forming [11][12][13][14] or tomographic reconstruction [15]. Triangulation requires a limited number of sensors and provides a limited resolution [10].…”

Section: Principle and Evolution Of Defect Imaging With Total Focusinmentioning

confidence: 99%

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Structural Health Monitoring Using Lamb Wave Reflections and Total Focusing Method for Image Reconstruction

et al. 2016

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This investigation aimed to adapt the total focusing method (TFM) algorithm (originated from the synthetic aperture focusing technique in digital signal processing) to accommodate a circular array of piezoelectric sensors (PZT) and characterise defects using guided wave signals for the development of a structural health monitoring system. This research presents the initial results of a broader study focusing on the development of a structural health monitoring (SHM) guided wave system for advance carbon fibre reinforced plastic (CFRP) composite materials. The current material investigated was an isotropic (aluminium) square plate with 16 transducers operating successively as emitter or sensor in pitch and catch configuration enabling the collection of 240 signals per assessment. The Lamb wave signals collected were tuned on the symmetric fundamental mode with a wavelength of 17 mm, by setting the excitation frequency to 300 kHz. The initial condition for the imaging system, such as wave speed and transducer position, were determined with post processing of the baseline signals through a method involving the identification of the waves reflected from the free edge of the plate. The imaging algorithm was adapted to accommodate multiple transmitting transducers in random positions. A circular defect of 10 mm in diameter was drilled in the plate, which is similar to the delamination size introduced by a low velocity impact event in a composite plate. Images were obtained by applying the TFM to the baseline signals, Test 1 data (corresponding to the signals obtained after introduction of the defect) and to the data derived from the subtraction of the baseline to the Test 1 signals. The result shows that despite the damage diameter being 40 % smaller than the wavelength, the image (of the subtracted baseline data) demonstrated that the system can locate where the waves were reflected from the defect boundary. In other words, the contour of the damaged area was highlighted enabling its size and position to be determined.Appl Compos Mater (2017) 24:553-573 DOI 10.1007/s10443-016-9549-

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“…Besides DAS, commonly used Lamb wave imaging techniques include tomography [3], correlation imaging [4] and multipath imaging [5] et al In practice, all of these techniques have limited performance for overlapped signals.…”

Section: Introductionmentioning

confidence: 99%

Detection and localization of closely distributed damages via lamb wave sparse reconstruction

Hua¹,

Lu²,

Wang³

et al. 2017

Vib. proced.

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Abstract. Ultrasonic Lamb wave is a promising tool for structural health monitoring and nondestructive evaluation of plate-like structures. Using an array with several piezoelectric discs for damage imaging (i.e. visual detection and localization) is of interest. Commonly used delay-and-sum method is limited for overlapped signals when several damages are closely distributed in the structure. To overcome this limitation, modal-based sparse reconstruction imaging method is applied for adjacent damages in this study. Firstly, Lamb wave dispersion curve is obtained by solving the Rayleigh-Lamb equations. Subsequently, propagation modal of the damage-reflected signal is constructed based on the solved dispersion curve. Finally, the modal is used for damage imaging via sparse reconstruction and basis pursuit de-noising. Experimental data measured in an aluminum plate is considered, and the result demonstrates that the sparse reconstruction imaging method is effective to detect and localize closely distributed damages in the presence of signal overlapping.

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Multipath ultrasonic guided wave imaging in complex structures

Cited by 79 publications

References 21 publications

A model-based approach for statistical assessment of detection and localization performance of guided wave–based imaging techniques

A model-based approach for statistical assessment of detection and localization performance of guided wave–based imaging techniques

Structural Health Monitoring Using Lamb Wave Reflections and Total Focusing Method for Image Reconstruction

Detection and localization of closely distributed damages via lamb wave sparse reconstruction

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