Rapid, Long Range Inspection of Chemical Plant Pipework Using Guided Waves

Alleyne, David; Pavlakovic, B.; Lowe, M. J. S.; Cawley, P.

doi:10.4028/www.scientific.net/kem.270-273.434

Cited by 99 publications

(96 citation statements)

References 12 publications

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“…By considering the dispersion curves of the generated wave mode and the placement spacing between the rings, waves can be manipulated in such a way to enforce the forward going propagation and suppress the backward leakage. Hence, the forward propagations of each ring are overlapped while the signals received from backward propagation direction are inversely overlapped [1,2,6,39].…”

Section: Methodsmentioning

confidence: 99%

Improved Defect Detection Using Adaptive Leaky NLMS Filter in Guided-Wave Testing of Pipelines

2019

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Ultrasonic guided wave (UGW) testing of pipelines allows long range assessments of pipe integrity from a single point of inspection. This technology uses a number of arrays of transducers, linearly placed apart from each other to generate a single axisymmetric wave mode. The general propagation routine of the device results in a single time domain signal, which is then used by the inspectors to detect the axisymmetric wave for any defect location. Nonetheless, due to inherited characteristics of the UGW and non-ideal testing conditions, non-axisymmetric (flexural) waves will be transmitted and received in the tests. This adds to the complexity of results' interpretation. In this paper, we implement an adaptive leaky normalized least mean square (NLMS) filter for reducing the effect of non-axisymmetric waves and enhancement of axisymmetric waves. In this approach, no modification in the device hardware is required. This method is validated using the synthesized signal generated by a finite element model (FEM) and real test data gathered from laboratory trials. In laboratory trials, six different sizes of defects with cross-sectional area (CSA) material loss of 8% to 3% (steps of 1%) were tested. To find the optimum frequency, several excitation frequencies in the region of 30-50 kHz (steps of 2 kHz) were used. Furthermore, two sets of parameters were used for the adaptive filter wherein the first set of tests the optimum parameters were set to the FEM test case and, in the second set of tests, the data from the pipe with 4% CSA defect was used. The results demonstrated the capability of this algorithm for enhancing a defect's signal-to-noise ratio (SNR).

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Section: Methodsmentioning

confidence: 99%

Improved Defect Detection Using Adaptive Leaky NLMS Filter in Guided-Wave Testing of Pipelines

2019

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“…Rigorous derivations for propagating GUW modes in several relevant geometries can be found in standard texts, including the text by Rose (1999). Several articles summarize and review guided wave applications and 4.34 pertinent aspects of the technology (Lowe et al 1998;Rose 2000;Rose and Soley 2000;Alleyne et al 2001;Rose 2002;Su et al 2006;Raghavan and Cesnik 2007). Brief descriptions of GUW propagation in planar and cylindrical components follow.…”

Section: Introductionmentioning

confidence: 99%

Review of NDE Methods for Detection and Monitoring of Atmospheric SCC in Welded Canisters for the Storage of Used Nuclear Fuel

Meyer

Pardini

Hanson

et al. 2013

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Dry cask storage systems (DCSSs) for used nuclear fuel were originally envisioned for storage periods of short duration (approximately a few decades). However, uncertainty challenges the opening of a permanent repository for used nuclear fuel, implying that used nuclear fuel will need to remain in dry storage for much longer durations than originally envisioned. Thus, aging degradation of DCSSs becomes an issue that may not have been sufficiently considered in the design phase and that can challenge the efficacy of very long-term storage of used nuclear fuel.

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“…Recently, the authors have proposed a structural health monitoring (SHM) paradigm based on guided ultrasonic waves (GUWs) that exploit the waveguide (pipe‐like) geometry of the main structural members. Conventional GUW‐based methods use narrowband signals to probe long lengths and locate damage from a few monitoring points, whereas providing full coverage of the pipe's cross‐section . The ability of guided waves to locate anomalies in pipes such as cracks, corrosion, sludge, or blockage has been demonstrated in laboratory experiments and in the field .…”

Section: Introductionmentioning

confidence: 99%

Guided waves for the health monitoring of sign support structures under varying environmental conditions

Zhu

Rizzo

2011

Struct. Control Health Monit.

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Guided ultrasonic waves are increasingly used in all those structural health monitoring applications that benefit from built-in transduction, moderately large inspection ranges, and high sensitivity to small flaws. The wavebased structural health monitoring of complex or thick structures can be difficult because of factors such as simultaneous propagation of many modes, large number of overlapping reflections, and mode conversion. Moreover, if the structures are subjected to environmental changes, variations on the characteristics of the detected signals are observed. This paper describes a health monitoring system for large trusses that combines the advantages of guided ultrasonic waves with the extraction of defect-sensitive features aimed at performing a multivariate diagnosis of damage. The system was tested on a chord of a dismantled overhead sign support structure subjected to changing environmental conditions. Cold/warm temperatures and wet/snow boundary conditions were created. The system's hardware consisted of a data acquisition unit that controlled the generation and detection of ultrasonic signals by means of an array of piezoelectric transducers. The signals were processed using a feature-based approach whereby features between two signals collected simultaneously or between a signal and a baseline were compared. The features were then fed into an unsupervised learning algorithm based on outlier analysis. Experimental results show that damage can be detected even in the presence of temperature and boundary condition variations.

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Rapid, Long Range Inspection of Chemical Plant Pipework Using Guided Waves

Cited by 99 publications

References 12 publications

Improved Defect Detection Using Adaptive Leaky NLMS Filter in Guided-Wave Testing of Pipelines

Improved Defect Detection Using Adaptive Leaky NLMS Filter in Guided-Wave Testing of Pipelines

Review of NDE Methods for Detection and Monitoring of Atmospheric SCC in Welded Canisters for the Storage of Used Nuclear Fuel

Guided waves for the health monitoring of sign support structures under varying environmental conditions

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