AREVA Developments for an Efficient and Reliable use of Monte Carlo codes for Radiation Transport Applications

In the context of the rising of Monte Carlo transport calculations for any kind of application, AREVA recently improved its suite of engineering tools in order to produce efficient Monte Carlo workflow. Monte Carlo codes, such as MCNP or TRIPOLI, are recognized as reference codes to deal with a larg...

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Main Authors: Chapoutier Nicolas, Mollier François, Nolin Guillaume, Culioli Matthieu, Mace Jean-Reynald
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:EPJ Web of Conferences
Online Access:https://doi.org/10.1051/epjconf/201715306016
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spelling doaj-3f8138dadbeb4b06a83b3f783b4a58d02021-08-02T02:44:33ZengEDP SciencesEPJ Web of Conferences2100-014X2017-01-011530601610.1051/epjconf/201715306016epjconf_icrs2017_06016AREVA Developments for an Efficient and Reliable use of Monte Carlo codes for Radiation Transport ApplicationsChapoutier Nicolas0Mollier François1Nolin Guillaume2Culioli Matthieu3Mace Jean-Reynald4AREVA NP Inc, Solomon Pond ParkAREVA NP, 10-12 Rue Juliette RecamierAREVA NP, 10-12 Rue Juliette RecamierAREVA NP, 10-12 Rue Juliette RecamierAREVA, 1 Place Jean MILLIERIn the context of the rising of Monte Carlo transport calculations for any kind of application, AREVA recently improved its suite of engineering tools in order to produce efficient Monte Carlo workflow. Monte Carlo codes, such as MCNP or TRIPOLI, are recognized as reference codes to deal with a large range of radiation transport problems. However the inherent drawbacks of theses codes - laboring input file creation and long computation time - contrast with the maturity of the treatment of the physical phenomena. The goals of the recent AREVA developments were to reach similar efficiency as other mature engineering sciences such as finite elements analyses (e.g. structural or fluid dynamics). Among the main objectives, the creation of a graphical user interface offering CAD tools for geometry creation and other graphical features dedicated to the radiation field (source definition, tally definition) has been reached. The computations times are drastically reduced compared to few years ago thanks to the use of massive parallel runs, and above all, the implementation of hybrid variance reduction technics. From now engineering teams are capable to deliver much more prompt support to any nuclear projects dealing with reactors or fuel cycle facilities from conceptual phase to decommissioning.https://doi.org/10.1051/epjconf/201715306016
collection DOAJ
language English
format Article
sources DOAJ
author Chapoutier Nicolas
Mollier François
Nolin Guillaume
Culioli Matthieu
Mace Jean-Reynald
spellingShingle Chapoutier Nicolas
Mollier François
Nolin Guillaume
Culioli Matthieu
Mace Jean-Reynald
AREVA Developments for an Efficient and Reliable use of Monte Carlo codes for Radiation Transport Applications
EPJ Web of Conferences
author_facet Chapoutier Nicolas
Mollier François
Nolin Guillaume
Culioli Matthieu
Mace Jean-Reynald
author_sort Chapoutier Nicolas
title AREVA Developments for an Efficient and Reliable use of Monte Carlo codes for Radiation Transport Applications
title_short AREVA Developments for an Efficient and Reliable use of Monte Carlo codes for Radiation Transport Applications
title_full AREVA Developments for an Efficient and Reliable use of Monte Carlo codes for Radiation Transport Applications
title_fullStr AREVA Developments for an Efficient and Reliable use of Monte Carlo codes for Radiation Transport Applications
title_full_unstemmed AREVA Developments for an Efficient and Reliable use of Monte Carlo codes for Radiation Transport Applications
title_sort areva developments for an efficient and reliable use of monte carlo codes for radiation transport applications
publisher EDP Sciences
series EPJ Web of Conferences
issn 2100-014X
publishDate 2017-01-01
description In the context of the rising of Monte Carlo transport calculations for any kind of application, AREVA recently improved its suite of engineering tools in order to produce efficient Monte Carlo workflow. Monte Carlo codes, such as MCNP or TRIPOLI, are recognized as reference codes to deal with a large range of radiation transport problems. However the inherent drawbacks of theses codes - laboring input file creation and long computation time - contrast with the maturity of the treatment of the physical phenomena. The goals of the recent AREVA developments were to reach similar efficiency as other mature engineering sciences such as finite elements analyses (e.g. structural or fluid dynamics). Among the main objectives, the creation of a graphical user interface offering CAD tools for geometry creation and other graphical features dedicated to the radiation field (source definition, tally definition) has been reached. The computations times are drastically reduced compared to few years ago thanks to the use of massive parallel runs, and above all, the implementation of hybrid variance reduction technics. From now engineering teams are capable to deliver much more prompt support to any nuclear projects dealing with reactors or fuel cycle facilities from conceptual phase to decommissioning.
url https://doi.org/10.1051/epjconf/201715306016
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