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Title: Uncertainty Analysis for RELAP5-3D

Abstract

In its current state, RELAP5-3D is a 'best-estimate' code; it is one of our most reliable programs for modeling what occurs within reactor systems in transients from given initial conditions. This code, however, remains an estimator. A statistical analysis has been performed that begins to lay the foundation for a full uncertainty analysis. By varying the inputs over assumed probability density functions, the output parameters were shown to vary. Using such statistical tools as means, variances, and tolerance intervals, a picture of how uncertain the results are based on the uncertainty of the inputs has been obtained.

Authors:
;
Publication Date:
Research Org.:
Idaho National Laboratory (INL)
Sponsoring Org.:
DOE - NE
OSTI Identifier:
1042350
Report Number(s):
INL/EXT-11-22936
TRN: US1202845
DOE Contract Number:  
DE-AC07-05ID14517
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
22 GENERAL STUDIES OF NUCLEAR REACTORS; 97 MATHEMATICAL METHODS AND COMPUTING; PROBABILITY DENSITY FUNCTIONS; SIMULATION; TOLERANCE; TRANSIENTS; RELAP5-3D; Uncertainty Analysis

Citation Formats

Aaron J. Pawel, and Dr. George L. Mesina. Uncertainty Analysis for RELAP5-3D. United States: N. p., 2011. Web. doi:10.2172/1042350.
Aaron J. Pawel, & Dr. George L. Mesina. Uncertainty Analysis for RELAP5-3D. United States. doi:10.2172/1042350.
Aaron J. Pawel, and Dr. George L. Mesina. Mon . "Uncertainty Analysis for RELAP5-3D". United States. doi:10.2172/1042350. https://www.osti.gov/servlets/purl/1042350.
@article{osti_1042350,
title = {Uncertainty Analysis for RELAP5-3D},
author = {Aaron J. Pawel and Dr. George L. Mesina},
abstractNote = {In its current state, RELAP5-3D is a 'best-estimate' code; it is one of our most reliable programs for modeling what occurs within reactor systems in transients from given initial conditions. This code, however, remains an estimator. A statistical analysis has been performed that begins to lay the foundation for a full uncertainty analysis. By varying the inputs over assumed probability density functions, the output parameters were shown to vary. Using such statistical tools as means, variances, and tolerance intervals, a picture of how uncertain the results are based on the uncertainty of the inputs has been obtained.},
doi = {10.2172/1042350},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2011},
month = {8}
}

Technical Report:

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