NDLI: Validation of Fire Models Applied to Nuclear Power Plant Safety

Content Provider	Springer Nature Link
Author	McGrattan, Kevin Peacock, Richard Overholt, Kristopher
Copyright Year	2014
Abstract	The paper highlights key components of a fire model validation study conducted by the U.S. Nuclear Regulatory Commission and the Electric Power Research Institute. These include the selection of fire phenomena of interest to nuclear power plant safety, the selection of appropriate models, the selection of relevant experimental data, and the selection of appropriate evaluation criteria. For each model and each quantity of interest, there are two metrics of accuracy. The first is a bias factor, which indicates the extent to which the model tends to over or under-predict the given quantity. The second is a relative standard deviation, which indicates the degree of scatter in the predicted quantity when compared with experimental measurements. While the study is motivated by nuclear power plant safety, the general procedure and results are appropriate for most industrial applications.
Starting Page	5
Ending Page	24
Page Count	20
File Format	PDF
ISSN	00152684
Journal	Fire Technology
Volume Number	52
Issue Number	1
e-ISSN	15728099
Language	English
Publisher	Springer US
Publisher Date	2014-11-14
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Fire modeling Model validation Nuclear power plants Civil Engineering Mechanics Characterization and Evaluation of Materials Physics
Content Type	Text
Resource Type	Article
Subject	Materials Science Safety, Risk, Reliability and Quality

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