Reliability evaluation of NDT techniques for Cu-welds for risk assessment of nuclear waste encapsulation

Müller, Christina; Elaguine, Mistislav; Bellon, Carsten; Ewert, Uwe; Zscherpel, Uwe; Scharmach, Martin; Redmer, Bernhard; Rydén, Håkan; Ronneteg, Ulf

doi:10.3139/120.100199

Cited by 2 publications

(2 citation statements)

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“…Simulated defects are also significant for quantitatively evaluating and finding the limits of NDT&E technologies. Probability of detection (PoD) analysis as a quantitative measure is widely used to evaluate the inspection reliability of traditional NDT&E techniques (Ahmad, 1989;Muller et al, 2006). As a statistical method, PoD requires a large number of samples having defects ranging from non-detectable to minimum detectable sizes and larger (Peeters et al, 2018).…”

Section: Simulated Defectsmentioning

confidence: 99%

Nondestructive testing and evaluation techniques of defects in fiber-reinforced polymer composites: A review

Chen

Jin²

2022

Front. Mater.

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Fiber-reinforced polymer composites have excellent mechanical properties and outstanding development potential and are cost-effective. They have increasingly been used in numerous advanced and engineering applications as materials for wind turbine blades, helicopter rotors, high-pressure pipelines, and medical equipment. Understanding and assessing structural failure promptly in the whole lifecycle of a composite is essential to mitigating safety concerns and reducing maintenance costs. Various nondestructive testing and evaluation (NDT&E) technologies based on different evaluation principles have been established to inspect defects under different conditions. This paper reviews the established types of NDT&E techniques: acoustic emission, ultrasonic testing, eddy current testing, infrared thermography, terahertz testing, digital image correlation, shearography, and X-ray computed tomography, which is divided into three categories based on the operation frequency and data processing means of the output signal that is directly under analysis. We listed four types of defects/damage that are currently of great interest, namely, voids and porosity, fiber waviness and wrinkling, delamination and debonding, as well as impact damage. To identify a suitable method for different defects/damage, we performed characterization and evaluation by using these NDT&E techniques for typical defects/damage. Then, the cost, inspection speed, benefits and limitations, etc. were compared and discussed. Finally, a brief overview of the development of the technologies and their applications in the field of composite fabrication was discussed.

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Section: Simulated Defectsmentioning

confidence: 99%

Nondestructive testing and evaluation techniques of defects in fiber-reinforced polymer composites: A review

Chen

Jin²

2022

Front. Mater.

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“…For example, a 90 would mean the crack size has a probability of detection of 90% and a 90/95 means the crack size has a confidence level of 95%. This means that a crack with a size of a will be detected with a probability of 90% and, if this POD exercise is repeated, 95% of the results will fall inside this confidence limit [4,6] .…”

Section: Estimating Probability Of Detectionmentioning

confidence: 99%

Producing a POD curve with emulated signal response data

Koskinen¹,

Virkkunen²,

Papula³

et al. 2018

insight

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Ultrasonic testing is an important tool for assessing the structural integrity of pressurised components in nuclear power plants during in-service inspection. Consequently, the reliability of inspection is of high significance. In particular, it is important to determine the largest crack that could conceivably be missed during in-service inspection. This information is utilised in order to choose the most effective method for different situations. Probability of detection (POD) curves are used to quantify the effectiveness of the inspection. However, these POD curves require a lot of data points in order to provide reliable estimates of the lower limit performance. Traditionally, obtaining these curves has been relatively expensive and this is why different simulation tools have been used to reduce costs and the number of physical test-pieces needed. In the current study, a novel method based on limited test-pieces is explored to produce a POD curve from the measured data. The present data contains just three artificial cracks made with thermal fatigue. This is insufficient to produce a POD curve. However, the data was sufficient to evaluate the novel approach and to gain preliminary estimates of the expected POD and the most important influential parameters. In this study, the idea is to emulate the amplitude response from the measured crack in a way that represents an amplitude response from a certain crack size. This amplitude data is converted to a B-scan image from which the inspector will evaluate whether there is a crack or not. Then, a POD curve is generated from the achieved hit/miss data.

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Reliability evaluation of NDT techniques for Cu-welds for risk assessment of nuclear waste encapsulation

Cited by 2 publications

References 1 publication

Nondestructive testing and evaluation techniques of defects in fiber-reinforced polymer composites: A review

Nondestructive testing and evaluation techniques of defects in fiber-reinforced polymer composites: A review

Producing a POD curve with emulated signal response data

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