Journal
RELIABILITY ENGINEERING & SYSTEM SAFETY
Volume 107, Issue -, Pages 122-131Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.ress.2011.10.017
Keywords
Functional output; Pressurized thermal shock transient; Principal component analysis; Uncertainty and sensitivity analysis
Funding
- French National Research Agency (ANR) through COSINUS program [ANR-09-COSI-015]
- CEA/DISN
- AREVA-NP
- EDF
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To perform uncertainty, sensitivity or optimization analysis on scalar variables calculated by a cpu time expensive computer code, a widely accepted methodology consists in first identifying the most influential uncertain inputs (by screening techniques), and then in replacing the cpu time expensive model by a cpu inexpensive mathematical function, called a metamodel. This paper extends this methodology to the functional output case, for instance when the model output variables are curves. The screening approach is based on the analysis of variance and principal component analysis of output curves. The functional metamodeling consists in a curve classification step, a dimension reduction step. then a classical metamodeling step. An industrial nuclear reactor application (dealing with uncertainties in the pressurized thermal shock analysis) illustrates all these steps. (C) 2011 Elsevier Ltd. All rights reserved.
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