Delamination detection base on wavelet correlation damage index of time reversal guided wave

Liu, Xiaofeng; Wei, Daiping; Yang, Kangjun

doi:10.1080/14484846.2017.1410963

Cited by 5 publications

(3 citation statements)

References 9 publications

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“…In recent years, time reversal technique has attracted increasing attentions because of the unique advantage to compensate the dispersion of Lamb waves and to improve the signal-to-noise ratio of the propagating waves [ 29 , 41 , 42 , 43 ]. By combining with the piezoceramic transducers, this technique has also been commonly applied in the area of structural health monitoring and damage diagnose [ 44 , 45 , 46 , 47 ]. In the study, the time reversal technique was employed to detect and monitor the pipe looseness of the threaded pipe connection.…”

Section: Detection Principlesmentioning

confidence: 99%

Loosening Monitoring of the Threaded Pipe Connection Using Time Reversal Technique and Piezoceramic Transducers

Liang

Feng

2018

Sensors

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Threaded pipe connections are commonly used in the oil and gas industry in particular to connect casting strings, drill pipe strings, production and transportation risers, and pipelines. As the most critical components in the entire chain, maintaining a sealed and secure connection while being subjected to environmental loads and pollution is very important and necessary to reduce potential leakage risk and guarantee the safety of the entire chain. In this paper, an effective approach using time reversal technique and lead zirconate titanate (PZT) transducer was developed to monitor the looseness of the threaded pipe connection. Two threaded pipeline segments connected with a metal coupling were assembled to simulate the threaded connection in the pipeline system. Two PZT patches were mounted on the surface of one pipeline segment and the pipe coupling, respectively. By loosening the threaded connection with different rotation angles, several looseness scenarios were experimentally investigated. For each looseness condition, the developed time reversal-based approach was performed and the corresponding response signal was acquired and analyzed. The experimental results demonstrate that the peak value of the focused signal detected by the PZT sensor decreases with the increase of the looseness degree. The entire test conducted from tightened connection to loosened connection was repeated eight times to validate the repeatability of the developed method and the consistency of the detection results. In addition, the reliability of the developed method was studied by involving high disturbances when the signal was measured. All the test results show that the developed method has a great potential to be employed in practical applications for monitoring the looseness condition of the threaded pipe connection, especially in an environment with severe noises and disturbances.

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Section: Detection Principlesmentioning

confidence: 99%

Loosening Monitoring of the Threaded Pipe Connection Using Time Reversal Technique and Piezoceramic Transducers

Liang

Feng

2018

Sensors

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“…The time reversal method is a baseline free technique for Lamb wave based damage detection [18][19][20][21]. It is based on the rational that an original wave can be reconstructed at its source point if its forward wave recorded at another point is time reversed and emitted back to the source point.…”

Section: Introductionmentioning

confidence: 99%

A modified hyperbola based baseline free approach using Lamb wave mode conversion for detection of multiple structural damages: a simulation based study

Kumar

Kumar²,

Sunny³

2023

Eng. Res. Express

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Guided wave based techniques are among the promising techniques for structural health monitoring due to their ability to detect damage with high precision, ability to scan large area and low power consumption. However, practical implementation of these techniques to structures with relatively complex geometries such as stiffened plates demand further research due to several challenges. Some of such challenges include the presence of stiffeners and edges in close vicinity causing multiple reflections of waves, possibility of multiple damages and lack of baseline data. To address all these issues, a modified hyperbola based algorithm using mode converted signal and a data based matching scheme has been proposed in this paper. A stiffened plate is taken as the example structure. Corrosion like defects have been considered as the damages. Each panel of the stiffened plate has been scanned separately through phased array actuation. The effectiveness of this technique has been demonstrated using high fidelity 3D finite element simulation data. It’s robustness has been shown through the same finite element model with artificially added small error in actuator placement.

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“…To date, a wide variety of techniques have been developed for structural health monitoring. These techniques include ultrasonic/acoustic-based techniques [ 3 , 4 , 5 , 6 , 7 , 8 , 9 ], eddy-current-based techniques [ 10 , 11 , 12 ], and microwave-based techniques [ 13 , 14 , 15 ]. These technologies are promising for specific structural health monitoring applications, however, they are not readily suited to being scaled up for applications such as monitoring the structural health of an entire city.…”

Section: Introductionmentioning

confidence: 99%

Sparse and Random Sampling Techniques for High-Resolution, Full-Field, BSS-Based Structural Dynamics Identification from Video

Martinez

Green

Silva

et al. 2020

Sensors

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Video-based techniques for identification of structural dynamics have the advantage that they are very inexpensive to deploy compared to conventional accelerometer or strain gauge techniques. When structural dynamics from video is accomplished using full-field, high-resolution analysis techniques utilizing algorithms on the pixel time series such as principal components analysis and solutions to blind source separation the added benefit of high-resolution, full-field modal identification is achieved. An important property of video of vibrating structures is that it is particularly sparse. Typically video of vibrating structures has a dimensionality consisting of many thousands or even millions of pixels and hundreds to thousands of frames. However the motion of the vibrating structure can be described using only a few mode shapes and their associated time series. As a result, emerging techniques for sparse and random sampling such as compressive sensing should be applicable to performing modal identification on video. This work presents how full-field, high-resolution, structural dynamics identification frameworks can be coupled with compressive sampling. The techniques described in this work are demonstrated to be able to recover mode shapes from experimental video of vibrating structures when 70% to 90% of the frames from a video captured in the conventional manner are removed.

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Delamination detection base on wavelet correlation damage index of time reversal guided wave

Cited by 5 publications

References 9 publications

Loosening Monitoring of the Threaded Pipe Connection Using Time Reversal Technique and Piezoceramic Transducers

Loosening Monitoring of the Threaded Pipe Connection Using Time Reversal Technique and Piezoceramic Transducers

A modified hyperbola based baseline free approach using Lamb wave mode conversion for detection of multiple structural damages: a simulation based study

Sparse and Random Sampling Techniques for High-Resolution, Full-Field, BSS-Based Structural Dynamics Identification from Video

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