2018
DOI: 10.1088/1748-0221/13/05/p05015
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A novel technique for finding gas bubbles in the nuclear waste containers using Muon Scattering Tomography

Abstract: With time hydrogen gas is produced, which can accumulate in bubbles. These pockets of gas may result in bitumen overflowing out of the waste containers and could result in spread of radioactivity. Muon Scattering Tomography is a non-invasive scanning method developed to examine the unknown content of nuclear waste drums. Here we present a method which allows us to successfully detect bubbles larger than 2 litres and determine their size with a relative uncertainty resolution of 1.55 ± 0.77%. Furthermore, the m… Show more

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Cited by 10 publications
(15 citation statements)
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“…We developed an algorithm which is described in detail in [15]. It was successfully used to detect objects with a high atomic number (high-Z objects) in cargo containers [15,32], imaging of nuclear waste [12], as well as for discrimination of high-Z materials in concrete-filled containers [13] and detection of voids in concrete filled drums [11]. It was also demonstrated that bars with a diameter of 33.7 ± 7.3 mm at 50 cm depth can be located using that approach [21].…”
Section: Bristol Discriminator Algorithmmentioning
confidence: 99%
See 1 more Smart Citation
“…We developed an algorithm which is described in detail in [15]. It was successfully used to detect objects with a high atomic number (high-Z objects) in cargo containers [15,32], imaging of nuclear waste [12], as well as for discrimination of high-Z materials in concrete-filled containers [13] and detection of voids in concrete filled drums [11]. It was also demonstrated that bars with a diameter of 33.7 ± 7.3 mm at 50 cm depth can be located using that approach [21].…”
Section: Bristol Discriminator Algorithmmentioning
confidence: 99%
“…A traditional application of muon tomography is the characterization of nuclear waste drums and related security applications, where contents of concrete or bitumen filled waste drums are studied. Key issues here include the potential presence of gas bubbles in the matrix of the waste drum [11] and identification of the material inside the drums [12][13][14]. Security applications have been mainly focused on detection of lumps of high-Z material in cargo containers [15,16], but work on the detection of explosives is ongoing as well [17].…”
Section: Introductionmentioning
confidence: 99%
“…Up to now, it has been a challenging issue to evaluate and classify rock masses, although many classification methods have been developed. These methods include rock quality designation (RQD) (Deere and Miller 1966), tunnelling quality index (Q) (Barton et al 1974), rock mass rating system (RMR) (Bieniawski 1973), geological strength index (GSI) (Hoek et al 1995), rock mass index (RMI) (Palmstrøm 1996), etc. In addition, it has been tried to classify rocks using sonic velocity (e.g.…”
Section: Non-destructive Evaluation and Classification Of Rock Massesmentioning
confidence: 99%
“…In the past, this has been exploited for various discrimination and identification studies in simulation: to differentiate between different high-Z materials [3], [5] or to locate gas bubbles in bitumen-filled drums [6].…”
Section: Muon Scattering Tomographymentioning
confidence: 99%