Decay Branch Ratio Sampling Method with Dirichlet Distribution

The decay branch ratio is evaluated nuclear data related to the decay heat calculation in reactor safety analysis. Decay branch ratio data are inherently subjected to the “sum-to-one” constraint, making it difficult to generate perturbed samples while preserving their suggested statistics in a libra...

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Main Authors: Yizhen Wang, Menglei Cui, Jiong Guo, Han Zhang, Yingjie Wu, Fu Li
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/16/4/1962
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author Yizhen Wang
Menglei Cui
Jiong Guo
Han Zhang
Yingjie Wu
Fu Li
author_facet Yizhen Wang
Menglei Cui
Jiong Guo
Han Zhang
Yingjie Wu
Fu Li
author_sort Yizhen Wang
collection DOAJ
description The decay branch ratio is evaluated nuclear data related to the decay heat calculation in reactor safety analysis. Decay branch ratio data are inherently subjected to the “sum-to-one” constraint, making it difficult to generate perturbed samples while preserving their suggested statistics in a library of evaluated nuclear data. Therefore, a stochastic-sampling-based uncertainty analysis method is hindered in quantifying the uncertainty contribution of the decay branch ratio to the decay heat calculation. In the present work, two alternative sampling methods are introduced, based on Dirichlet and generalized Dirichlet distribution, to tackle the decay branch ratio sampling issue. The performance of the introduced methods is justified by three-branch decay data retrieved from ENDF/B-VIII.0. The results show that the introduced sampling methods are capable of generating branch ratio samples and preserving their suggested statistics in an evaluated nuclear data library while satisfying their inherent “sum-to-one” constraint. These decay-branch-ratio sampling methods are expected to be alternative procedures in conducting stochastic-sampling-based uncertainty analyses of the decay branch ratio in reactor simulations.
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spelling doaj.art-e368a4279cf04d38b6da43a968322ecd2023-11-16T20:20:14ZengMDPI AGEnergies1996-10732023-02-01164196210.3390/en16041962Decay Branch Ratio Sampling Method with Dirichlet DistributionYizhen Wang0Menglei Cui1Jiong Guo2Han Zhang3Yingjie Wu4Fu Li5Institute of Nuclear and New Energy Technology, Collaborative Innovation Center of Advance Nuclear Energy Technology, Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education, Tsinghua University, Beijing 100084, ChinaInstitute of Nuclear and New Energy Technology, Collaborative Innovation Center of Advance Nuclear Energy Technology, Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education, Tsinghua University, Beijing 100084, ChinaInstitute of Nuclear and New Energy Technology, Collaborative Innovation Center of Advance Nuclear Energy Technology, Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education, Tsinghua University, Beijing 100084, ChinaInstitute of Nuclear and New Energy Technology, Collaborative Innovation Center of Advance Nuclear Energy Technology, Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education, Tsinghua University, Beijing 100084, ChinaInstitute of Nuclear and New Energy Technology, Collaborative Innovation Center of Advance Nuclear Energy Technology, Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education, Tsinghua University, Beijing 100084, ChinaInstitute of Nuclear and New Energy Technology, Collaborative Innovation Center of Advance Nuclear Energy Technology, Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education, Tsinghua University, Beijing 100084, ChinaThe decay branch ratio is evaluated nuclear data related to the decay heat calculation in reactor safety analysis. Decay branch ratio data are inherently subjected to the “sum-to-one” constraint, making it difficult to generate perturbed samples while preserving their suggested statistics in a library of evaluated nuclear data. Therefore, a stochastic-sampling-based uncertainty analysis method is hindered in quantifying the uncertainty contribution of the decay branch ratio to the decay heat calculation. In the present work, two alternative sampling methods are introduced, based on Dirichlet and generalized Dirichlet distribution, to tackle the decay branch ratio sampling issue. The performance of the introduced methods is justified by three-branch decay data retrieved from ENDF/B-VIII.0. The results show that the introduced sampling methods are capable of generating branch ratio samples and preserving their suggested statistics in an evaluated nuclear data library while satisfying their inherent “sum-to-one” constraint. These decay-branch-ratio sampling methods are expected to be alternative procedures in conducting stochastic-sampling-based uncertainty analyses of the decay branch ratio in reactor simulations.https://www.mdpi.com/1996-1073/16/4/1962decay branch ratioDirichlet distributiongeneralized Dirichlet distributionstochastic samplinguncertainty analysis
spellingShingle Yizhen Wang
Menglei Cui
Jiong Guo
Han Zhang
Yingjie Wu
Fu Li
Decay Branch Ratio Sampling Method with Dirichlet Distribution
Energies
decay branch ratio
Dirichlet distribution
generalized Dirichlet distribution
stochastic sampling
uncertainty analysis
title Decay Branch Ratio Sampling Method with Dirichlet Distribution
title_full Decay Branch Ratio Sampling Method with Dirichlet Distribution
title_fullStr Decay Branch Ratio Sampling Method with Dirichlet Distribution
title_full_unstemmed Decay Branch Ratio Sampling Method with Dirichlet Distribution
title_short Decay Branch Ratio Sampling Method with Dirichlet Distribution
title_sort decay branch ratio sampling method with dirichlet distribution
topic decay branch ratio
Dirichlet distribution
generalized Dirichlet distribution
stochastic sampling
uncertainty analysis
url https://www.mdpi.com/1996-1073/16/4/1962
work_keys_str_mv AT yizhenwang decaybranchratiosamplingmethodwithdirichletdistribution
AT mengleicui decaybranchratiosamplingmethodwithdirichletdistribution
AT jiongguo decaybranchratiosamplingmethodwithdirichletdistribution
AT hanzhang decaybranchratiosamplingmethodwithdirichletdistribution
AT yingjiewu decaybranchratiosamplingmethodwithdirichletdistribution
AT fuli decaybranchratiosamplingmethodwithdirichletdistribution