Computing source terms with dynamic containment event trees

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

In this paper, integrated dynamic and probabilistic safety analysis (IDPSA) modelling is demonstrated using a steam explosion case and the new FinPSA 2.0 tool for PRA level 2 analysis. In the case study, a simplified level 2 model containing steam explosions was constructed for a boiling water reactor nuclear power plant. Supporting analyses were performed using deterministic computer code MELCOR to gather knowledge on timings of events and initial conditions for the fuel-coolant interaction phenomena. The results of deterministic analyses were incorporated into a probabilistic containment event tree (CET) model. The level 2 method implemented in FinPSA is based on dynamic CETs and CETL programming language. The CETL is used to define functions to calculate conditional probabilities of CET branches, timings of the accident progression and amounts of releases.
Original languageEnglish
Title of host publication13th International Conference on Probabilistic Safety Assessment and Management (PSAM 13)
PublisherInternational Association of Probabilistic Safety Assessment and Management IAPSAM
Number of pages10
Publication statusPublished - 2016
MoE publication typeA4 Article in a conference publication
Event13th International Conference on Probabilistic Safety Assessment and Management - Sheraton Grande Walkerhill, Seoul, Korea, Republic of
Duration: 2 Oct 20167 Oct 2016
Conference number: 13

Conference

Conference13th International Conference on Probabilistic Safety Assessment and Management
Abbreviated titlePSAM 13
CountryKorea, Republic of
CitySeoul
Period2/10/167/10/16

Keywords

  • probabilistic risk analysis
  • severe accident
  • dynamic event tree

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    Tyrväinen, T., Silvonen, T., & Mätäsniemi, T. (2016). Computing source terms with dynamic containment event trees. In 13th International Conference on Probabilistic Safety Assessment and Management (PSAM 13) International Association of Probabilistic Safety Assessment and Management IAPSAM. http://www.iapsam.org/PSAM13/program/Abstract/Oral/A-161.pdf