Development of ultrasonic guided wave techniques for examination of non-cylindrical components

Kažys, R.; Mudge, Peter; Sanderson, Ruth; Ennaceur, C.; Gharaibeh, Y.; Mažeika, Liudas; Maciulevičius, A.

doi:10.1016/j.phpro.2010.01.107

Cited by 4 publications

(6 citation statements)

References 3 publications

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“…Many researchers have proposed signal processing techniques to overcome these challenges. Kazys et al demonstrated the use of UGW torsional mode in the non-dispersive region to detect defects in a section of rail [13]. Rizzo et al demonstrated a rail inspection prototype based on UGWs and non-contact probing combined with a distinct signal processing algorithm [27].…”

Section: Guided Wave Based Defect Detection In Complex Structuresmentioning

confidence: 99%

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Numerical Modelling of Ultrasonic Guided Wave Propagation and Defect Detection in Offshore Steel Sheet Piles

Dhutti

Malo

et al. 2021

Applied Sciences

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Sheet piles are significantly more prone to advanced corrosion rates due to accelerated low water corrosion. Current inspection and assessment techniques are costly, time-consuming and labour-intensive. Guided wave testing (GWT) has gained increased attention due to its capability of screening long distances; however, it has not been used previously to inspect the active zone in steel sheet piles. This paper focuses on the numerical modelling of wave propagation and defect detection in U-shaped piles to demonstrate the capabilities of GWT for the inspection of non-accessible areas of steel sheet piles. Two shear transducer arrays were designed, bearing high SH0 mode purity and directionality. A wave propagation comparison study concluded that the back wall reflection signal from the web of a U-pile was 11.5% higher than the respective signal from the plate, and the excitation signal in the flange, at 5.65 m and 7.12 m, was respectively 35% and 46% less than the excitation signal in the web at the same distance. Defect reflection, measured from five representative defect scenarios, ranged from 7.5 to 47% of the signal amplitude in the web of the pile and 5 to 32.5% in the flange of the pile.

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Section: Guided Wave Based Defect Detection In Complex Structuresmentioning

confidence: 99%

“…GWT has been used previously to inspect steel sheet piles in the dead zone, and this is the first time an attempt has been made to inspect the active zone [13]. The major difficulty is that the waveguide has a complicated transverse profile that is significantly different to those of pipes and rails, where the cross-sectional area is finite and small.…”

mentioning

confidence: 99%

Numerical Modelling of Ultrasonic Guided Wave Propagation and Defect Detection in Offshore Steel Sheet Piles

Dhutti

Malo

et al. 2021

Applied Sciences

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“…Piezoelectric transducers that transmit and receive ultrasonic waves have a dead zone called the "main bang" that establishes the pulse-echo test method as unable to detect fast returning echoes [6]. In the case of short propagation times, the reflected echoes are superimposed or buried in the dead zone [7][8][9]. Transducers with higher center frequencies have shorter pulse durations and can be used to solve echo-overlapping problems [10].…”

Section: Introductionmentioning

confidence: 99%

Ultrasonic Assessment of Thickness and Bonding Quality of Coating Layer Based on Short-Time Fourier Transform and Convolutional Neural Networks

et al. 2021

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Ultrasonic non-destructive analysis is a promising and effective method for the inspection of protective coating materials. Offshore coating exhibits a high attenuation rate of ultrasonic energy due to the absorption and ultrasonic pulse echo testing becomes difficult due to the small amplitude of the second echo from the back wall of the coating layer. In order to address these problems, an advanced ultrasonic signal analysis has been proposed. An ultrasonic delay line was applied due to the high attenuation of the coating layer. A short-time Fourier transform (STFT) of the waveform was implemented to measure the thickness and state of bonding of coating materials. The thickness of the coating material was estimated by the projection of the STFT into the time-domain. The bonding and debonding of the coating layers were distinguished using the ratio of the STFT magnitude peaks of the two subsequent wave echoes. In addition, the advantage of the STFT-based approach is that it can accurately and quickly estimate the time of flight (TOF) of a signal even at low signal-to-noise ratios. Finally, a convolutional neural network (CNN) was applied to automatically determine the bonding state of the coatings. The time–frequency representation of the waveform was used as the input to the CNN. The experimental results demonstrated that the proposed method automatically determines the bonding state of the coatings with high accuracy. The present approach is more efficient compared to the method of estimating bonding state using attenuation.

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“…It is well known that the guided waves can be employed to detect defects in plate-like or bending structures. The applications of guided waves were described in non-cylindrical structures [29]- [33], such as railway rails and structural 'I' beams. Liu et al [34] proposed a method to detect radial cracks in annular structures and its methodology built on guided circumferential waves and continuous wavelet transform.…”

Section: Introductionmentioning

confidence: 99%

A Rapid and Accurate Technique With Updating Strategy for Surface Defect Inspection of Pipelines

Wang

Liu

et al. 2021

IEEE Access

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Defect inspection in pipes at the early stage is of crucial importance to maintain the ongoing safety and suitability of the equipment before it presents an unacceptable risk. Due to the nature of detection methods being costly or complex, the efficiency and accuracy of results obtained hardly meet the requirements from industries. To explore a rapid and accurate technique for surface defects detection, a novel approach QDFT (Quantitative Detection of Fourier Transform) has been recently proposed by authors to efficiently reconstruct defects. However, the accuracy of this approach needs to be further improved. In this paper, a modified QDFT method with integration of an integral coefficient updating strategy, called QDFTU (quantitative detection of Fourier transform of updating), is developed to reconstruct the defect profile with a high level of accuracy throughout iterative calculations of integral coefficients from the reference model updated by a termination criteria (RMSE, root mean square error). Moreover, dispersion equations of circumferential guided waves in pipes are derived in the helical coordinate to accommodate the stress and displacement calculations in the scattered field using hybrid FEM. To demonstrate the superiority of the developed QDFTU in terms of accuracy and efficiency, four types of defect profiles, i.e., a rectangular flaw, a multi-step flaw, a double-rectangular flaw, and a triple-rectangular flaw, are examined. Results show the fast convergence of QDFTU can be identified by no more than three updates for each case and its high accuracy is observed by a smallest difference between the predicted defect profile and the real one in terms of mean absolute percentage error (MSPE) value, which is 6.69% in the rectangular-flaw detection example. INDEX TERMSCircumferential guided wave, Hybrid FEM, reconstruction, reference model, updating strategy. YIHUI DA received the B.S. degree in theoretical and applied mechanics from Henan Polytechnic University, Henan, China, in 2009, and the M.S. degree in general and fundamental mechanics and the Ph.D. degree in engineering mechanics from the Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2014 and 2018, respectively.Since 2019, he has been working as a Postdoctoral Researcher with the Nanjing University of Aeronautics and Astronautics. His research interests include the numerical modeling of ultrasonic guided waves, ultrasonic nondestructive evaluation, and signal processing.

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Development of ultrasonic guided wave techniques for examination of non-cylindrical components

Cited by 4 publications

References 3 publications

Numerical Modelling of Ultrasonic Guided Wave Propagation and Defect Detection in Offshore Steel Sheet Piles

Numerical Modelling of Ultrasonic Guided Wave Propagation and Defect Detection in Offshore Steel Sheet Piles

Ultrasonic Assessment of Thickness and Bonding Quality of Coating Layer Based on Short-Time Fourier Transform and Convolutional Neural Networks

A Rapid and Accurate Technique With Updating Strategy for Surface Defect Inspection of Pipelines

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