Deterministic uncertainty analysis
Uncertainties of computer results are of primary interest in applications such as high-level waste (HLW) repository performance assessment in which experimental validation is not possible or practical. Because of the complicated nature of the computational structure of large computer models and because of the large number of input and data parameters associated with such models, to date almost all uncertainty analysis of computer results has been performed using a statistical approach. The purpose of this work is to present an alternate deterministic approach for calculating uncertainties that has the potential to significantly reduce the number of computer runs required for conventional statistical analysis.
- Research Organization:
- Oak Ridge National Lab., TN (USA)
- OSTI ID:
- 7150888
- Report Number(s):
- CONF-8711195-; TRN: 88-028620
- Journal Information:
- Trans. Am. Nucl. Soc.; (United States), Vol. 55; Conference: American Nuclear Society winter meeting, Los Angeles, CA, USA, 15 Nov 1987
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
HIGH-LEVEL RADIOACTIVE WASTES
RADIOACTIVE WASTE DISPOSAL
MATHEMATICAL MODELS
RADIONUCLIDE MIGRATION
ACCURACY
COMPUTERIZED SIMULATION
PROBABILITY
SAMPLING
ENVIRONMENTAL TRANSPORT
MANAGEMENT
MASS TRANSFER
MATERIALS
RADIOACTIVE MATERIALS
RADIOACTIVE WASTES
SIMULATION
WASTE DISPOSAL
WASTE MANAGEMENT
WASTES
052002* - Nuclear Fuels- Waste Disposal & Storage