Monte Carlo simulation of a clearance box monitor used for nuclear power plant decommissioning.

Détails

ID Serval
serval:BIB_E13EA3F17D6A
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Monte Carlo simulation of a clearance box monitor used for nuclear power plant decommissioning.
Périodique
Health Physics
Auteur(s)
Bochud F.O., Laedermann J.P., Bailat C.J., Schuler C.
ISSN
1538-5159 (Electronic)
ISSN-L
0017-9078
Statut éditorial
Publié
Date de publication
2009
Volume
96
Numéro
5
Pages
575-586
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Résumé
When decommissioning a nuclear facility it is important to be able to estimate activity levels of potentially radioactive samples and compare with clearance values defined by regulatory authorities. This paper presents a method of calibrating a clearance box monitor based on practical experimental measurements and Monte Carlo simulations. Adjusting the simulation for experimental data obtained using a simple point source permits the computation of absolute calibration factors for more complex geometries with an accuracy of a bit more than 20%. The uncertainty of the calibration factor can be improved to about 10% when the simulation is used relatively, in direct comparison with a measurement performed in the same geometry but with another nuclide. The simulation can also be used to validate the experimental calibration procedure when the sample is supposed to be homogeneous but the calibration factor is derived from a plate phantom. For more realistic geometries, like a small gravel dumpster, Monte Carlo simulation shows that the calibration factor obtained with a larger homogeneous phantom is correct within about 20%, if sample density is taken as the influencing parameter. Finally, simulation can be used to estimate the effect of a contamination hotspot. The research supporting this paper shows that activity could be largely underestimated in the event of a centrally-located hotspot and overestimated for a peripherally-located hotspot if the sample is assumed to be homogeneously contaminated. This demonstrates the usefulness of being able to complement experimental methods with Monte Carlo simulations in order to estimate calibration factors that cannot be directly measured because of a lack of available material or specific geometries.
Mots-clé
Computer Simulation, Decontamination, Humans, Monte Carlo Method, Nuclear Power Plants, Radioactive Hazard Release/prevention & control, Radioisotopes/analysis, Radioisotopes/pharmacokinetics, Radiometry/methods
Pubmed
Web of science
Création de la notice
29/05/2009 10:59
Dernière modification de la notice
20/08/2019 16:05
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