A novel technique for finding gas bubbles in the nuclear waste containers using Muon Scattering Tomography

被引：8

作者：

Dobrowolska, M. ^{[1
]}

Velthuis, J. ^{[2
]}

Frazao, L. ^{[2
]}

Kikola, D. ^{[1
]}

机构：

[1] Warsaw Univ Technol, Fac Phys, Koszykowa 75, PL-00662 Warsaw, Poland

[2] Univ Bristol, Sch Phys, HH Wills Phys Lab, Tyndall Ave, Bristol BS8 1TL, Avon, England

来源：

JOURNAL OF INSTRUMENTATION | 2018年 / 13卷

关键词：

Counting gases and liquids; Models and simulations; Radiation monitoring; Resistive-plate chambers; COSMIC-RAY MUONS; RADIOGRAPHY; URANIUM;

D O I：

10.1088/1748-0221/13/05/P05015

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

Nuclear waste is deposited for many years in the concrete or bitumen-filled containers. 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 method allows to make a distinction between a conglomeration of bubbles and a few smaller gas volumes in different locations.

引用

页数：14

共 8 条

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Murray, M.
Nutbeam-Tuffs, S.
Shearer, C.
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JOURNAL OF INSTRUMENTATION, 2015, 10
[2] Towards an application of muon scattering tomography as a technique for detecting rebars in concrete
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SMART MATERIALS AND STRUCTURES, 2020, 29 (05)
[3] Nuclear material accountancy using momentum-informed muon scattering tomography
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ANNALS OF NUCLEAR ENERGY, 2024, 197
[4] The design and performance of a scintillating-fibre tracker for the cosmic-ray muon tomography of legacy nuclear waste containers
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Keri, T.
Lumsden, S.
Mahon, D. F.
McKinnon, B.
Murray, M.
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Shearer, C.
Staines, C.
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[5] GEANT4 simulation of a scintillating-fibre tracker for the cosmic-ray muon tomography of legacy nuclear waste containers
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[7] Non-destructive interrogation of nuclear waste barrels through muon tomography: a Monte Carlo study based on dual-parameter analysis via GEANT4 simulations
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[8] A Mathematical Model for Size and Number Scale Up of Hollow Fiber Modules for the Recovery of Uranium from Acidic Nuclear Waste using the DLM Technique
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