Proposed Methodology for Establishing Area of Applicability
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Computational Physics and Engineering Division
This paper presents the application of sensitivity and uncertainty (S/U) analysis methodologies to the data validation tasks of a criticality safety computational study. The S/U methods presented are designed to provide a formal means of establishing the area (or range) of applicability for criticality safety data validation studies. The development of parameters that are analogous to the standard trending parameters form the key to the technique. These parameters are the so-called D parameters, which represent the differences by energy group of S/U-generated sensitivity profiles, and ckparameters, which are the correlation coefficients, each of which give information relative to the similarity between pairs of selected systems. The use of a Generalized Linear Least-Squares Methodology (GLLSM) tool is also described in this paper. These methods and guidelines are also applied to a sample validation for uranium systems with enrichments greater than 5 wt %.
- Research Organization:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Computational Physics and Engineering Division
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA), Nuclear Criticality Safety Program (NCSP); US Nuclear Regulatory Commission (USNRC)
- DOE Contract Number:
- AC05-96OR22464
- OSTI ID:
- 7459
- Report Number(s):
- ORNL/CP-103195; 41 W6 47 9W 1; ON: DE00007459
- Resource Relation:
- Conference: ICNC '99: 6. International Conference on Nuclear Criticality Safety, Palais des Congres, Versailles (France), 20-24 Sep 1999
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
Sensitivity Analysis
Criticality
Safety
Validation
Nuclear Criticality Safety Program (NCSP)
Sensitivity and Uncertainty (S/U) Analysis
Generalized Linear Least-Squares Methodology (GLLSM) Tool
Sensitivity Coefficient Methods
Fantastic Oak Ridge Sensitivity System (FORSS) Package
SCALE System
3-D Monte Carlo Methods
Uncertainty Analysis Theory