Damage Localization of Composites Based on Difference Signal and Lamb Wave Tomography

Su, Chenhui; Jiang, Mingshun; Liang, Jianying; Tian, Anli; Sun, Lin; Zhang, Lei; Zhang, Faye; Sui, Qingmei

doi:10.3390/ma13010218

Cited by 13 publications

(10 citation statements)

References 25 publications

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“…In addition to the detection of defects, guided waves have also been used for the localization and imaging of defects. Most commonly, tomographic approaches are used for imaging based on guided waves [ 21 , 22 , 23 ].…”

Section: Introductionmentioning

confidence: 99%

Ultrasonic Guided Waves for Liquid Water Localization in Fuel Cells: An Ex Situ Proof of Principle

Sablowski

Zhao

Kupsch

2022

Sensors

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Water management is a key issue in the design and operation of proton exchange membrane fuel cells (PEMFCs). For an efficient and stable operation, the accumulation of liquid water inside the flow channels has to be prevented. Existing measurement methods for localizing water are limited in terms of the integration and application of measurements in operating PEMFC stacks. In this study, we present a measurement method for the localization of liquid water based on ultrasonic guided waves. Using a sparse sensing array of four piezoelectric wafer active sensors (PWAS), the measurement requires only minor changes in the PEMFC cell design. The measurement method is demonstrated with ex situ measurements for water drop localization on a single bipolar plate. The wave propagation of the guided waves and their interaction with water drops on different positions of the bipolar plate are investigated. The complex geometry of the bipolar plate leads to complex guided wave responses. Thus, physical modeling of the wave propagation and tomographic methods are not suitable for the localization of the water drops. Using machine learning methods, it is demonstrated that the position of a water drop can be obtained from the guided wave responses despite the complex geometry of the bipolar plate. Our results show standard deviations of 4.2 mm and 3.3 mm in the x and y coordinates, respectively. The measurement method shows high potential for in situ measurements in PEMFC stacks as well as for other applications that require deposit localization on geometrically complex waveguides.

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Section: Introductionmentioning

confidence: 99%

Ultrasonic Guided Waves for Liquid Water Localization in Fuel Cells: An Ex Situ Proof of Principle

Sablowski

Zhao

Kupsch

2022

Sensors

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“…Lamb wave-based damage detection in plate-like structures draws increasing attention because Lamb waves can travel over a long distance even in materials with high attenuation and which are highly susceptible to damage along the propagation path [1,2]. Computerized tomography (CT) has been introduced in the Lamb-wave-based damage field and has shown great potential in quantitative damage imaging inside materials [3,4]. The superior performance of the reconstruction algorithm for the probabilistic Inspection of damage (RAPID) algorithm has been investigated through comparison with different CT algorithms [5,6].…”

Section: Introductionmentioning

confidence: 99%

Influence of the PZT Sensor Array Configuration on Lamb Wave Tomography Imaging with the RAPID Algorithm for Hole and Crack Detection

Wang

Shen

et al. 2020

Sensors

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The tomography technique is an effective way to quantitatively evaluate damage from reconstruction imaging in structure health monitoring (SHM). The reconstruction algorithm for the probabilistic inspection of damage (RAPID) algorithm based on the signal difference coefficient (SDC) feature is a promising approach due to its superior performance. This paper focuses on the influence of different patterns of PZT (Lead Zirconate Titanate) sensor array configurations, i.e., the circular, square, and parallel array, on reconstruction image qualities for evaluating hole and crack damage. Variable shape parameters are applied to account for the unequal damage distances of different actuator-sensor pairs. Considering the directionality scattering fields of cracks, the angular scattering pattern of the SDC values are studied by simulation. The SDC variations for different groups of sensing paths at the same actuator are applied to predict the crack orientation. An improved RAPID algorithm is proposed by defining an additional SDC value of 1 in the path along the predicted crack orientation, which is determined by the point of the actuator causing the minimal SDC variation and the center point of the initial reconstruction image of the crack. The results show that the improved RAPID algorithm is effective for the evaluation of crack damage. Reconstruction image qualities with three PZT sensor array configurations for both holes and cracks are compared. The research is significant for selecting the PZT sensor array configuration in SHM.

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“…These distribution functions depended on a scale/shape factor, β, which controlled the effective size of the elliptical probability area for each sensing path. Similarly, the RAPID and LWT methods used the difference between damaged and undamaged signals to define the signal difference coefficient (SDC) [23,24,[31][32][33][34]. The SDC also depended on β, which controlled the effective size of the probability region.…”

Section: Introductionmentioning

confidence: 99%

“…The SDC also depended on β, which controlled the effective size of the probability region. In most of these methods, the probability of finding the damage depended on the intersection of direct paths between actuator-sensors pairs [20,21,[23][24][25]30,[33][34][35][36]. The probability of accurately locating the damage increases if more direct path intersections fall around the damage region.…”

Section: Introductionmentioning

confidence: 99%

“…That is one of the reasons why these methods faced difficulties locating the multiple damage with fewer transducers. Furthermore, these methods were based on the signal difference obtained by the comparison of the damaged signal with the baseline signal, which required additional data to be recorded and processed [27,[29][30][31][33][34][35][36], and the baseline data may not always be available for practical applications.…”

Section: Introductionmentioning

confidence: 99%

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Damage Detection Method Based on Continuous Wavelet Transformation of Lamb Wave Signals

Hameed

Zheng

2020

Applied Sciences

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A damage estimation method based on continuous wavelet transformation (CWT) of the normalized Lamb wave signals is proposed here. Lamb waves are actuated and sensed using piezoelectric (lead zirconate titanate, PZT) transducers arranged in the form of square detection cells on a plate-like structure. Excitation sequences based on pitch–catch and pulse–echo configurations are tested for the same arrangement of the transducers. The possibilities of the existence of damage for each actuator–senor pair are formed by using the normalized coefficient of CWT. The size of the possible damage region is directly controlled through envelopes defined by the coefficients of CWT, and no additional parameter is required to define its size. The aggregate damage image is constructed by the fusion of damage possibilities from all actuator–sensor pairs using damage indices based on conjunctive and compromised fusion schemes. The results indicate that the proposed method can estimate the location and severity of multiple damage with signals directly from the damaged plate, without the need of baseline signals from the undamaged plate, and the time-compensated signals provide better damage imaging than the raw signals. The most accurate and computationally inexpensive combination is the pulse–echo configuration with damage index based on conjunctive image fusion scheme. The method is computationally inexpensive and can be applied for multiple damage estimations in large structures to reduce the evaluation cost and inspection time during on-line structural health monitoring.

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Damage Localization of Composites Based on Difference Signal and Lamb Wave Tomography

Cited by 13 publications

References 25 publications

Ultrasonic Guided Waves for Liquid Water Localization in Fuel Cells: An Ex Situ Proof of Principle

Ultrasonic Guided Waves for Liquid Water Localization in Fuel Cells: An Ex Situ Proof of Principle

Influence of the PZT Sensor Array Configuration on Lamb Wave Tomography Imaging with the RAPID Algorithm for Hole and Crack Detection

Damage Detection Method Based on Continuous Wavelet Transformation of Lamb Wave Signals

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