241Am/Be source optimum geometry for DSRS management-based Monte Carlo simulations

The geometry form related to 241Am/Be spontaneous neutron sources has been investigated to evaluate the most optimizing geometry for disused sealed radioactive source (DSRS) disposal. Nine source geometries were assessed: point, disk, sphere 1, sphere 2, sphere 3, cylinder 1, cylinder 2, rectangle 1...

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Autores principales:	Cebastien Joel Guembou Shouop, Maurice Ndontchueng Moyo, Eric Jilbert Nguelem Mekongtso, Jean Felix Beyala Ateba, David Strivay
Formato:	article
Lenguaje:	EN
Publicado:	AIP Publishing LLC 2021
Materias:	Physics QC1-999
Acceso en línea:	https://doaj.org/article/1c7b0191f36f484383fc9384e2050523
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id	oai:doaj.org-article:1c7b0191f36f484383fc9384e2050523
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spelling	oai:doaj.org-article:1c7b0191f36f484383fc9384e20505232021-12-01T18:52:06Z241Am/Be source optimum geometry for DSRS management-based Monte Carlo simulations2158-322610.1063/5.0063005https://doaj.org/article/1c7b0191f36f484383fc9384e20505232021-11-01T00:00:00Zhttp://dx.doi.org/10.1063/5.0063005https://doaj.org/toc/2158-3226The geometry form related to 241Am/Be spontaneous neutron sources has been investigated to evaluate the most optimizing geometry for disused sealed radioactive source (DSRS) disposal. Nine source geometries were assessed: point, disk, sphere 1, sphere 2, sphere 3, cylinder 1, cylinder 2, rectangle 1, and rectangle 2. The most radiological optimizing geometries were found to be the disk, followed by the point source, sphere 1, and cylinder 1, while the rectangle or parallelepiped 2 source forms were the worst cases. Neutron and photon generated fluxes were computed, and the parallelepiped 2 source geometry generated the lower value of flux inversely to the effective dose rate computed in the decision-making area, where it was found to be the highest value. The obtained results were in agreement with the as low as reasonably achievable principle for the exposure rate optimization. The obtained exposure dose rates were found to be <∼2 µSv/h (maximum value on horizontal calculation) and 1.75 µSv/h (maximum value on vertical computation), which are lower than the 2.5 µSv/h acceptable limit for the public area. Whenever possible, the DSRSs should be pressed into a disk form (or a cylindrical form with a small height) before embedding them into the Am1 P60 capsule for disposal purposes. The dose profile for the 241Am/Be source obtained, the neutron flux, and the gamma generated from neutron absorption showed agreement with the expected experimental physical data. The supported data contribute to postulate that Monte Carlo methods are effective computational tools that can be used to select the most effective radioactive waste form for disposal purposes.Cebastien Joel Guembou ShouopMaurice Ndontchueng MoyoEric Jilbert Nguelem MekongtsoJean Felix Beyala AtebaDavid StrivayAIP Publishing LLCarticlePhysicsQC1-999ENAIP Advances, Vol 11, Iss 11, Pp 115024-115024-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Physics QC1-999
spellingShingle	Physics QC1-999 Cebastien Joel Guembou Shouop Maurice Ndontchueng Moyo Eric Jilbert Nguelem Mekongtso Jean Felix Beyala Ateba David Strivay 241Am/Be source optimum geometry for DSRS management-based Monte Carlo simulations
description	The geometry form related to 241Am/Be spontaneous neutron sources has been investigated to evaluate the most optimizing geometry for disused sealed radioactive source (DSRS) disposal. Nine source geometries were assessed: point, disk, sphere 1, sphere 2, sphere 3, cylinder 1, cylinder 2, rectangle 1, and rectangle 2. The most radiological optimizing geometries were found to be the disk, followed by the point source, sphere 1, and cylinder 1, while the rectangle or parallelepiped 2 source forms were the worst cases. Neutron and photon generated fluxes were computed, and the parallelepiped 2 source geometry generated the lower value of flux inversely to the effective dose rate computed in the decision-making area, where it was found to be the highest value. The obtained results were in agreement with the as low as reasonably achievable principle for the exposure rate optimization. The obtained exposure dose rates were found to be <∼2 µSv/h (maximum value on horizontal calculation) and 1.75 µSv/h (maximum value on vertical computation), which are lower than the 2.5 µSv/h acceptable limit for the public area. Whenever possible, the DSRSs should be pressed into a disk form (or a cylindrical form with a small height) before embedding them into the Am1 P60 capsule for disposal purposes. The dose profile for the 241Am/Be source obtained, the neutron flux, and the gamma generated from neutron absorption showed agreement with the expected experimental physical data. The supported data contribute to postulate that Monte Carlo methods are effective computational tools that can be used to select the most effective radioactive waste form for disposal purposes.
format	article
author	Cebastien Joel Guembou Shouop Maurice Ndontchueng Moyo Eric Jilbert Nguelem Mekongtso Jean Felix Beyala Ateba David Strivay
author_facet	Cebastien Joel Guembou Shouop Maurice Ndontchueng Moyo Eric Jilbert Nguelem Mekongtso Jean Felix Beyala Ateba David Strivay
author_sort	Cebastien Joel Guembou Shouop
title	241Am/Be source optimum geometry for DSRS management-based Monte Carlo simulations
title_short	241Am/Be source optimum geometry for DSRS management-based Monte Carlo simulations
title_full	241Am/Be source optimum geometry for DSRS management-based Monte Carlo simulations
title_fullStr	241Am/Be source optimum geometry for DSRS management-based Monte Carlo simulations
title_full_unstemmed	241Am/Be source optimum geometry for DSRS management-based Monte Carlo simulations
title_sort	241am/be source optimum geometry for dsrs management-based monte carlo simulations
publisher	AIP Publishing LLC
publishDate	2021
url	https://doaj.org/article/1c7b0191f36f484383fc9384e2050523
work_keys_str_mv	AT cebastienjoelguemboushouop 241ambesourceoptimumgeometryfordsrsmanagementbasedmontecarlosimulations AT mauricendontchuengmoyo 241ambesourceoptimumgeometryfordsrsmanagementbasedmontecarlosimulations AT ericjilbertnguelemmekongtso 241ambesourceoptimumgeometryfordsrsmanagementbasedmontecarlosimulations AT jeanfelixbeyalaateba 241ambesourceoptimumgeometryfordsrsmanagementbasedmontecarlosimulations AT davidstrivay 241ambesourceoptimumgeometryfordsrsmanagementbasedmontecarlosimulations
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241Am/Be source optimum geometry for DSRS management-based Monte Carlo simulations

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