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**Harvard**

Hernández-Solís, A., Demazière, C., Ekberg, C. och Ödegaard-Jensen, A. (2012) *Statistical uncertainty analisis applied to the DRAGONv4 code lattice calculations and based on JENDL-4 covariance data*.

** BibTeX **

@conference{

Hernández-Solís2012,

author={Hernández-Solís, Augusto and Demazière, Christophe and Ekberg, Christian and Ödegaard-Jensen, Arvid},

title={Statistical uncertainty analisis applied to the DRAGONv4 code lattice calculations and based on JENDL-4 covariance data},

booktitle={ International Conference on the Physics of Reactors 2012: Advances in Reactor Physics, PHYSOR 2012; Knoxville, TN; United States; 15 April 2012 through 20 April 2012},

isbn={978-162276389-4},

pages={2960-2974},

abstract={In this paper, multi-group microscopic cross-section uncertainty is propagated through the DRAGON (Version 4) lattice code, in order to perform uncertainty analysis on k∞ and 2-group homogenized macroscopic cross-sections predictions. A statistical methodology is employed for such purposes, where cross-sections of certain isotopes of various elements belonging to the 172 groups DRAGLIB library format, are considered as normal random variables. This library is based on JENDL-4 data, because JENDL-4 contains the largest amount of isotopic covariance matrixes among the different major nuclear data libraries. The aim is to propagate multi-group nuclide uncertainty by running the DRAGONv4 code 500 times, and to assess the output uncertainty of a test case corresponding to a 17x17 PWR fuel assembly segment without poison. The chosen sampling strategy for the current study is Latin Hypercube Sampling (LHS). The quasi-random LHS allows a much better coverage of the input uncertainties than simple random sampling (SRS) because it densely stratifies across the range of each input probability distribution. Output uncertainty assessment is based on the tolerance limits concept, where the sample formed by the code calculations infers to cover 95% of the output population with at least a 95% of confidence. This analysis is the first attempt to propagate parameter uncertainties of modern multi-group libraries, which are used to feed advanced lattice codes that perform state of the art resonant self-shielding calculations such as DRAGONv4.},

year={2012},

keywords={DRAGONv4 code; JENDL-4 covariance data; Latin hypercube sampling; Statistical uncertainty analysis},

}

** RefWorks **

RT Conference Proceedings

SR Print

ID 234990

A1 Hernández-Solís, Augusto

A1 Demazière, Christophe

A1 Ekberg, Christian

A1 Ödegaard-Jensen, Arvid

T1 Statistical uncertainty analisis applied to the DRAGONv4 code lattice calculations and based on JENDL-4 covariance data

YR 2012

T2 International Conference on the Physics of Reactors 2012: Advances in Reactor Physics, PHYSOR 2012; Knoxville, TN; United States; 15 April 2012 through 20 April 2012

SN 978-162276389-4

SP 2960

OP 2974

AB In this paper, multi-group microscopic cross-section uncertainty is propagated through the DRAGON (Version 4) lattice code, in order to perform uncertainty analysis on k∞ and 2-group homogenized macroscopic cross-sections predictions. A statistical methodology is employed for such purposes, where cross-sections of certain isotopes of various elements belonging to the 172 groups DRAGLIB library format, are considered as normal random variables. This library is based on JENDL-4 data, because JENDL-4 contains the largest amount of isotopic covariance matrixes among the different major nuclear data libraries. The aim is to propagate multi-group nuclide uncertainty by running the DRAGONv4 code 500 times, and to assess the output uncertainty of a test case corresponding to a 17x17 PWR fuel assembly segment without poison. The chosen sampling strategy for the current study is Latin Hypercube Sampling (LHS). The quasi-random LHS allows a much better coverage of the input uncertainties than simple random sampling (SRS) because it densely stratifies across the range of each input probability distribution. Output uncertainty assessment is based on the tolerance limits concept, where the sample formed by the code calculations infers to cover 95% of the output population with at least a 95% of confidence. This analysis is the first attempt to propagate parameter uncertainties of modern multi-group libraries, which are used to feed advanced lattice codes that perform state of the art resonant self-shielding calculations such as DRAGONv4.

LA eng

OL 30