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Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)

Editor
Michael G. Stamatelatos
Michael G. Stamatelatos
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Harold S. Blackman
Harold S. Blackman
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ISBN-10:
0791802442
No. of Pages:
2576
Publisher:
ASME Press
Publication date:
2006

The ability of sensitivity techniques developed at the Center for Nuclear Waste Regulatory Analyses (CNWRA) to highlight non-monotonic trends is studied in this paper. The capability of the parameter tree, the mean-based and standard deviation-based sensitivity, and the partitioning methods to identify sensitivities of non-monotonic functions is explored. Sensitivity indices and significance tests for the various techniques are discussed in the paper. It is concluded that the standard deviation-based index can consistently identify non-monotonic trends. The parameter tree and the partitioning methods provide some capability to detect non-monotonic trends; however, they lack resolution if the performance metric reaches a maximum...

Abstract
Introduction
Nomenclature
Sensitivity Indices and Significance Tests
Comparison of Methods
Approach for Sensitivity Analyses on Non-Monotonic Functions
Conclusions
Acknowledgments
References
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