High temperature ultrasonic crack monitoring using SH waves

Cegla, Frederic; Jarvis, A. J. C.; Davies, J.

doi:10.1016/j.ndteint.2011.07.003

Cited by 27 publications

(7 citation statements)

References 14 publications

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Section: Monitoring For Localised Damagementioning

confidence: 99%

“…Permanently installed ultrasonic systems for monitoring the growth of known cracks are available, 85,86 as are permanently installed variants of potential drop crack monitors 87 and comparative vacuum crack gauges. 74 While the Chinese standards for large civil engineering structures 34,35 call for local monitoring for potential cracking, in practice, this is often achieved by periodic inspection rather than via an automated, permanently installed system.…”

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confidence: 99%

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Structural health monitoring: Closing the gap between research and industrial deployment

Cawley

2018

Structural Health Monitoring

289

203

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There has been a large volume of research on structural health monitoring since the 1970s but this research effort has yielded relatively few routine industrial applications. Structural health monitoring can include applications on very different structures with very different requirements; this article splits the subject into four broad categories: rotating machine condition monitoring, global monitoring of large structures (structural identification), large area monitoring where the area covered is part of a larger structure, and local monitoring. The capabilities and potential applications of techniques in each category are discussed. Condition monitoring of rotating machine components is very different to the other categories since it is not strictly concerned with structural health. However, it is often linked with structural health monitoring and is a relatively mature field with many routine applications, so useful lessons can be read across to mainstream structural health monitoring where there are many fewer industrial applications. Reasons for the slow transfer from research to practical application of structural health monitoring include lack of attention to the business case for monitoring, insufficient attention to how the large data flows will be handled and the lack of performance validation on real structures in industrial environments. These issues are discussed and ways forward proposed; it is concluded that given better focused research and development considering the key factors identified here, structural health monitoring has the potential to follow the path of rotating machine condition monitoring and become a widely deployed technology.

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Section: Monitoring For Localised Damagementioning

confidence: 99%

mentioning

confidence: 99%

Structural health monitoring: Closing the gap between research and industrial deployment

Cawley

2018

Structural Health Monitoring

289

203

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“…The development of new non-destructive inspection methods and signal processing techniques, able to cope with signal distortions, considering the dispersion and transmission characteristics of ultrasonic signals on the guides, wedges, or other installed apparatus, is as important as the thermal system protection [ 11 , 16 , 17 ]. However, in a state-of-the-art review, it is noticed that few papers have been presented in this context.…”

Section: Introductionmentioning

confidence: 99%

Effects of Thermal Gradients in High-Temperature Ultrasonic Non-Destructive Tests

Slongo

Gund

Passarin

et al. 2022

Sensors

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Ultrasonic inspection techniques and non-destructive tests are widely applied in evaluating products and equipment in the oil, petrochemical, steel, naval, and energy industries. These methods are well established and efficient for inspection procedures at room temperature. However, errors can be observed in the positioning and sizing of the flaws when such techniques are used during inspection procedures under high working temperatures. In such situations, the temperature gradients generate acoustic anisotropy and consequently distortion of the ultrasonic beams. Failure to consider such distortions in ultrasonic signals can result, in extreme situations, in mistaken decision making by inspectors and professionals responsible for guaranteeing product quality or the integrity of the evaluated equipment. In this scenario, this work presents a mathematical tool capable of mitigating positioning errors through the correction of focal laws. For the development of the tool, ray tracing concepts are used, as well as a model of heat propagation in solids and an experimentally defined linear approximation of dependence between sound speed and temperature. Using the focal law correction tool, the relative firing delays of the active elements are calculated considering the temperature gradients along the sonic path, and the results demonstrate a reduction of more than 68% in the error of flaw positioning.

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“…Probably, the most successful applications of ultrasonic systems in SHM are in the oil and gas field, where permanently installed localized thickness monitoring systems have already been installed at ;150 sites worldwide, 16,17 systems to monitor the growth of known cracks have been recently deployed, 18,19 and long-range devices using mostly torsional guided waves are routinely used to monitor tens of meters of pipe from a single transducer location for corrosion growth. [20][21][22][23] These systems are already producing a very large amount of data, which will only keep increasing as more devices are installed in the future.…”

Section: Introductionmentioning

confidence: 99%

Change detection using the generalized likelihood ratio method to improve the sensitivity of guided wave structural health monitoring systems

Mariani

Cawley

2020

Structural Health Monitoring

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The transition from one-off ultrasound–based non-destructive testing systems to permanently installed monitoring techniques has the potential to significantly improve the defect detection sensitivity, since frequent measurements can be obtained and tracked with time. However, the measurements must be compensated for changing environmental and operational conditions, such as temperature, and careful analysis of measurements by highly skilled operators quickly becomes unfeasible as a large number of sensors acquiring signals frequently is installed on a plant. Recently, the authors have developed a location-specific temperature compensation method that uses a set of baseline measurements to remove temperature effects from the signals, thus producing “residual” signals on an unchanged structure that are essentially normally distributed with zero-mean and with standard deviation related to instrumentation noise. This enables the application of change detection techniques such as the generalized likelihood ratio method that can process sequences of residual signals searching for changes caused by damage. The defect detection performance offered by the generalized likelihood ratio when applied to guided wave signals adjusted either via the newly developed location-specific temperature compensation method or the widely used optimal baseline selection technique is investigated on a set of simulated measurements based on a set of experimental signals acquired by a permanently installed pipe monitoring system designed to monitor tens of meters of pipe from one location using the torsional, T(0,1), guided wave mode. The results presented here indicate that damage on the order of 0.1% cross section loss can reliably be detected with virtually zero false calls if the assumptions of the study are met, notably the absence of sensor drift with time. This represents a factor of 20–50 improvement over that typically achieved in one-off inspection and makes such monitoring systems very attractive. The method will also be applicable to bulk wave ultrasound signals.

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High temperature ultrasonic crack monitoring using SH waves

Cited by 27 publications

References 14 publications

Structural health monitoring: Closing the gap between research and industrial deployment

Structural health monitoring: Closing the gap between research and industrial deployment

Effects of Thermal Gradients in High-Temperature Ultrasonic Non-Destructive Tests

Change detection using the generalized likelihood ratio method to improve the sensitivity of guided wave structural health monitoring systems

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