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Implementation of framework for assessment of severe accident management effectiveness in Nordic BWR
KTH, School of Engineering Sciences (SCI), Physics, Nuclear Power Safety.ORCID iD: 0000-0001-8216-9376
KTH, School of Engineering Sciences (SCI), Physics, Nuclear Power Safety.ORCID iD: 0000-0002-3066-3492
KTH, School of Engineering Sciences (SCI), Physics, Nuclear Power Safety.ORCID iD: 0000-0002-0683-9136
2020 (English)In: Reliability Engineering & System Safety, ISSN 0951-8320, E-ISSN 1879-0836, Vol. 203, article id 107049Article in journal (Refereed) Published
Abstract [en]

Nordic Boiling Water Reactor (BWR) design employs ex-vessel debris coolability in a deep pool of water as a severe accident management (SAM) strategy. Depending on melt release conditions from the vessel and core-melt coolant interactions, containment integrity can be threatened by (i) formation of non-coolable debris bed, or (ii) energetic steam explosion. In order to assess the effectiveness of SAM the Risk Oriented Accident Analysis Methodology framework (ROAAM +) has been developed. The framework is further extension of the approach originally developed and applied by Prof. Theofanous and co-workers. This paper presents the implementation of ROAAM + probabilistic framework for uncertainty quantification and risk analysis. We further apply ROAAM + to the analysis of steam explosion risk in Nordic BWR assuming different state-of knowledge situations and different containment fragilities. We employ an iterative processes of knowledge refinement using risk analysis as a guiding tool in identification of the major sources of uncertainty. We estimate failure domains and discuss ROAAM + results in terms of possibility vs necessity of containment failure.

Place, publisher, year, edition, pages
Elsevier BV , 2020. Vol. 203, article id 107049
Keywords [en]
Severe accident, ROAAM, Nordic BWR, Risk assessment, Uncertainty Quantification
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:kth:diva-282232DOI: 10.1016/j.ress.2020.107049ISI: 000567911600007Scopus ID: 2-s2.0-85086575130OAI: oai:DiVA.org:kth-282232DiVA, id: diva2:1490837
Note

QC 20201103

Available from: 2020-11-03 Created: 2020-11-03 Last updated: 2022-09-13Bibliographically approved

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Galushin, SergeyGrishchenko, DmitryKudinov, Pavel

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