Graduate Thesis Or Dissertation

 

Proof of concept of the use of RAVEN and RELAP5-3D for risk informed safety margin characterization Public Deposited

Downloadable Content

Download PDF
https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/02870z762

Descriptions

Attribute NameValues
Creator
Abstract
  • This project was a proof of concept of the use of the RAVEN software, a tool developed for the Risk Informed Safety Margin Characterization (RISMC) approach, with RELAP5-3D. This novel approach combines older probabilistic and mechanistic approaches to look at how and why the complex systems of a nuclear power plant might fail in an accident scenario in greater detail than the older approaches allow. This is done by combining the mechanistic outcomes of RELAP5-3D with random sampling of stochastic parameters to account for the probabilistic elements of an accident scenario. Proof of concept was provided by modeling Station Blackout scenarios for both a generic Mark 1 Boiling Water Reactor (BWR) and for the Multi-Application Small Light Water Reactor (MASLWR) design. The research shows that RAVEN and RELAP5-3D can be used to collectively generate a reasonable and realistic failure space for numerous stochastic parameters, and in doing so allows for greater examination of which safety systems might fail, how they fail, and what can be done to most effectively improve them. The intent is that these insights will be used to more effectively examine power plant accident scenarios and allow for more informed decision making with regards to power plant safety margins.
Resource Type
Date Available
Date Copyright
Date Issued
Degree Level
Degree Name
Degree Field
Degree Grantor
Commencement Year
Advisor
Committee Member
Academic Affiliation
Non-Academic Affiliation
Keyword
Subject
Rights Statement
Publisher
Peer Reviewed
Language
Replaces
Additional Information
  • description.provenance : Submitted by Thomas Riley (rileyt@onid.orst.edu) on 2015-02-02T20:21:33Z No. of bitstreams: 2 license_rdf: 1527 bytes, checksum: d4743a92da3ca4b8c256fdf0d7f7680f (MD5) Thesis.pdf: 1572151 bytes, checksum: 0d28846ef75ad3270af38e9a435379fa (MD5)
  • description.provenance : Approved for entry into archive by Laura Wilson(laura.wilson@oregonstate.edu) on 2015-02-11T19:18:13Z (GMT) No. of bitstreams: 2 license_rdf: 1527 bytes, checksum: d4743a92da3ca4b8c256fdf0d7f7680f (MD5) Thesis.pdf: 1572151 bytes, checksum: 0d28846ef75ad3270af38e9a435379fa (MD5)
  • description.provenance : Approved for entry into archive by Julie Kurtz(julie.kurtz@oregonstate.edu) on 2015-02-11T17:35:33Z (GMT) No. of bitstreams: 2 license_rdf: 1527 bytes, checksum: d4743a92da3ca4b8c256fdf0d7f7680f (MD5) Thesis.pdf: 1572151 bytes, checksum: 0d28846ef75ad3270af38e9a435379fa (MD5)
  • description.provenance : Made available in DSpace on 2015-02-11T19:18:13Z (GMT). No. of bitstreams: 2 license_rdf: 1527 bytes, checksum: d4743a92da3ca4b8c256fdf0d7f7680f (MD5) Thesis.pdf: 1572151 bytes, checksum: 0d28846ef75ad3270af38e9a435379fa (MD5) Previous issue date: 2014-10-28

Relationships

Parents:

This work has no parents.

Items