A sensitivity analysis technique for application to deterministic models [electronic resource]
An important element of any uncertainty analysis consists of evaluating the sensitivity of the output uncertainty distributions to the input assumptions. These sensitivity analyses require extensive information regarding mathematical correlations between input and output variables which are generall...
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| Online Access: |
Online Access |
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| Corporate Authors: | , |
| Format: | Government Document Electronic eBook |
| Language: | English |
| Published: |
Upton, N.Y. : Oak Ridge, Tenn. :
Brookhaven National Laboratory ; distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy,
1987.
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| Subjects: |
| Summary: | An important element of any uncertainty analysis consists of evaluating the sensitivity of the output uncertainty distributions to the input assumptions. These sensitivity analyses require extensive information regarding mathematical correlations between input and output variables which are generally obtained through repeated computer runs of a physical model. However, in predicting uncertainties associated with severe accident sources terms using contemporary methods, techniques must be devised which reduce the need for extensive commutation using large computer codes. The purpose of the current paper is to propose a new method for sensitivity analysis which does not utilize response surface methods, but instead relies directly on the results obtained from the original computer code calculations. 3 refs., 1 fig. |
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| Item Description: | Published through the Information Bridge: DOE Scientific and Technical Information. 01/01/1987. "bnl-nureg-39934" " conf-871101-52" "DE87012112" California State Air Resources Board, Los Angeles, CA, USA, 15 Nov 1987. Ishigami, T.; Khatib-Rahbar, M.; Cazzoli, E.; Unwin, S.D. |
| Physical Description: | Pages: 5 : digital, PDF file. |