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Monte Carlo Alpha Iteration Algorithm for a Subcritical System Analysis
Joint Authors
Jang, Sang Hoon
Kang, Soo Min
Shim, Hyung Jin
Source
Science and Technology of Nuclear Installations
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-09-03
Country of Publication
Egypt
No. of Pages
7
Abstract EN
The α-k iteration method which searches the fundamental mode alpha-eigenvalue via iterative updates of the fission source distribution has been successfully used for the Monte Carlo (MC) alpha-static calculations of supercritical systems.
However, the α-k iteration method for the deep subcritical system analysis suffers from a gigantic number of neutron generations or a huge neutron weight, which leads to an abnormal termination of the MC calculations.
In order to stably estimate the prompt neutron decay constant (α) of prompt subcritical systems regardless of subcriticality, we propose a new MC alpha-static calculation method named as the α iteration algorithm.
The new method is derived by directly applying the power method for the α-mode eigenvalue equation and its calculation stability is achieved by controlling the number of time source neutrons which are generated in proportion to α divided by neutron speed in MC neutron transport simulations.
The effectiveness of the α iteration algorithm is demonstrated for two-group homogeneous problems with varying the subcriticality by comparisons with analytic solutions.
The applicability of the proposed method is evaluated for an experimental benchmark of the thorium-loaded accelerator-driven system.
American Psychological Association (APA)
Shim, Hyung Jin& Jang, Sang Hoon& Kang, Soo Min. 2015. Monte Carlo Alpha Iteration Algorithm for a Subcritical System Analysis. Science and Technology of Nuclear Installations،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1077886
Modern Language Association (MLA)
Shim, Hyung Jin…[et al.]. Monte Carlo Alpha Iteration Algorithm for a Subcritical System Analysis. Science and Technology of Nuclear Installations No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1077886
American Medical Association (AMA)
Shim, Hyung Jin& Jang, Sang Hoon& Kang, Soo Min. Monte Carlo Alpha Iteration Algorithm for a Subcritical System Analysis. Science and Technology of Nuclear Installations. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1077886
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1077886