This paper describes a systematic framework for quantifying the degree of contribution of each parameter to the uncertainty of the output in severe accident assessment. This research is an extension of the recent work of the authors on uncertainty assessment of severe accident calculations where the main sources of uncertainty are identified through the so-called modified PIRT approach. The proposed methodology here utilizes uncertainty importance measures for the quantification of the effect of each input parameter on the output uncertainty. A response surface fitting approach is proposed for estimating the associated uncertainties with less calculation cost. The quantitative results are used to plan in reducing epistemic uncertainty in the input variable(s). The application of the proposed methodology is demonstrated for the ACRR MP-2 severe accident test facility.
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ASME 2013 International Mechanical Engineering Congress and Exposition
November 15–21, 2013
San Diego, California, USA
Conference Sponsors:
- ASME
ISBN:
978-0-7918-5641-3
PROCEEDINGS PAPER
Uncertainty Analysis Plus Importance in Severe Accident Calculations: Quantitative Evaluation of Important Parameters
Seyed Mohsen Hoseyni,
Seyed Mohsen Hoseyni
Islamic Azad University, Tehran, Iran
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Mohammad Pourgol-Mohammad,
Mohammad Pourgol-Mohammad
Sahand University of Technology, Tabriz, Iran
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Ali Abbaspour Tehranifard,
Ali Abbaspour Tehranifard
Islamic Azad University, Tehran, Iran
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Faramarz Yousefpour
Faramarz Yousefpour
Islamic Azad University, Tehran, Iran
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Seyed Mohsen Hoseyni
Islamic Azad University, Tehran, Iran
Mohammad Pourgol-Mohammad
Sahand University of Technology, Tabriz, Iran
Ali Abbaspour Tehranifard
Islamic Azad University, Tehran, Iran
Faramarz Yousefpour
Islamic Azad University, Tehran, Iran
Paper No:
IMECE2013-64623, V012T13A069; 10 pages
Published Online:
April 2, 2014
Citation
Hoseyni, SM, Pourgol-Mohammad, M, Abbaspour Tehranifard, A, & Yousefpour, F. "Uncertainty Analysis Plus Importance in Severe Accident Calculations: Quantitative Evaluation of Important Parameters." Proceedings of the ASME 2013 International Mechanical Engineering Congress and Exposition. Volume 12: Systems and Design. San Diego, California, USA. November 15–21, 2013. V012T13A069. ASME. https://doi.org/10.1115/IMECE2013-64623
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