Nondestructive testing method based on lamb waves for localization and extent of damage

Chen, Jianlin; Li, Zheng; Gong, Kezhuang

doi:10.1016/j.camss.2016.06.001

Cited by 20 publications

(6 citation statements)

References 8 publications

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“…The method introduced two damage detection levels: damage identification and depth evaluation. Two Lamb-wave-based predictive circle methods for damage estimation were compared [34]. The first method used six intersection points of the four elliptical wave paths to estimate the damage represented by an enclosed circle.…”

Section: Introductionmentioning

confidence: 99%

Lamb-Wave-Based Multistage Damage Detection Method Using an Active PZT Sensor Network for Large Structures

Hameed

Chen

et al. 2019

Sensors

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A multistage damage detection method is introduced in this work that uses piezoelectric lead zirconate titanate (PZT) transducers to excite/sense the Lamb wave signals. A continuous wavelet transformation (CWT), based on the Gabor wavelet, is applied to accurately process the complicated wave signals caused by the damage. For a network of transducers, the damage can be detected in one detection cell based on the signals scattered by the damage, and then it can be quantitatively estimated by three detection stages using the outer tangent circle and least-squares methods. First, a single-stage damage detection method is carried out by exciting a transducer at the center of the detection cell to locate the damaged subcell. Then, the corner transducers are excited in the second and third stages of detection to improve the damage detection, especially the size estimation. The method does not require any baseline signal, and it only utilizes the same arrangement of transducers and the same data processing technique in all stages. The results from previous detection stages contribute to the improvement of damage detection in the subsequent stages. Both numerical simulation and experimental evaluation were used to verify that the method can accurately quantify the damage location and size. It was also found that the size of the detection cell plays a vital role in the accuracy of the results in this Lamb-wave-based multistage damage detection method.

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Section: Introductionmentioning

confidence: 99%

Lamb-Wave-Based Multistage Damage Detection Method Using an Active PZT Sensor Network for Large Structures

Hameed

Chen

et al. 2019

Sensors

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“…The maximum error existing in location is 1 degree and the distance is 12 mm. The consumed time is less than 3s when it is compared with ellipse algorithm and MUSIC algorithm (Bao Q et al , 2017; Chen et al, 2017; Hua et al, 2019), and MVDR algorithm has certain advantages in both accuracy and time. Thus, it provides a good method for damage identification of CFRP.…”

Section: Methodsmentioning

confidence: 99%

Damage imaging for composite using Lamb wave based on minimum variance distortion-less response method

Jiang

et al. 2019

Transactions of the Institute of Measurement and Control

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It is highly probable for the structures of carbon fiber reinforced plastics (CFRP) to suffer from invisible impact damage, for which the identification of such damage is of great significance. For the purpose of damage localization, this paper proposes a minimum variance distortion-less response (MVDR) algorithm that employs linear array sensor. In addition, a near field signal model based on active Lamb wave is established and the propagation of Lamb wave is investigated in composite laminates through the method of simulation. Moreover, a damage imaging system is also set up for composites to verify the effectiveness of the MVDR algorithm. Besides, in the study, wavelet transform is used as well to extract narrowband signals and promote signal-to-noise. It is shown by the results that the proposed algorithm can accurately identify the location of damage through the method of imaging. It is concluded that the maximum error of damage identification is 1.2 cm and MVDR algorithm has great potential in the field, damage imaging of composite materials. As a result, it provides a novel idea for damage imaging of composite materials.

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“…Some scholars have noticed the damage localization method without a baseline. Hameed et al [ 18 , 19 ] proposed a damage estimation method based on the continuous wavelet transform of the normalized Lamb wave signal. The proposed method can estimate the localization and severity of multiple types of plate damage without baseline signals from undamaged plates.…”

Section: Introductionmentioning

confidence: 99%

Numerical and Experimental Research on Non-Reference Damage Localization Based on the Improved Two-Arrival-Time Difference Method

Liu

et al. 2022

Sensors

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The identification of damage based on Lamb waves can hardly avoid obtaining the reference signal under healthy conditions. A non-reference damage localization (NRDL) method is proposed in this paper. The NRDL method is established by the improved two-arrival-time difference method (2/ATDM) and BFGS method. The layout principles of the piezoelectric ceramic lead zirconate titanate (PZT) transducer array in the specimen are proposed. In contrast to existing methods, the damage outside the array in the specimen is identified based on the NRDL. The full-area damage location in the specimen is realized. Furthermore, the optimization of the excitation signal center frequency and transducer array layout is carried out. The damage location accuracy is greatly improved.

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Nondestructive testing method based on lamb waves for localization and extent of damage

Cited by 20 publications

References 8 publications

Lamb-Wave-Based Multistage Damage Detection Method Using an Active PZT Sensor Network for Large Structures

Lamb-Wave-Based Multistage Damage Detection Method Using an Active PZT Sensor Network for Large Structures

Damage imaging for composite using Lamb wave based on minimum variance distortion-less response method

Numerical and Experimental Research on Non-Reference Damage Localization Based on the Improved Two-Arrival-Time Difference Method

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