ATWS: a reappraisal. Part I. An examination and analysis of ''WASH-1270, technical report on ATWS for water-cooled power reactors''
R.R. Fullwood, R.C. Erdmann, A. A. Garcia, F. L. Leverenz, E.T. Rumble, G.S. Lellouche
Abstract
Open-access reader
R.R. Fullwood, R.C. Erdmann, A. A. Garcia, F. L. Leverenz, E.T. Rumble, G.S. Lellouche
Abstract
Open-access reader
This document is the first of a series which will examine the basis for the problem of Anticipated Transients Without Scram (ATWS). The purpose of these documents is to evaluate risk due to ATWS in the light of developments subsequent to the publication of WASH-1270 and to reevaluate the probabilistic basis for ATWS. The purpose of Part I is to upgrade the numerical information presented in WASH-1270 by correcting deficiencies in that document and updating the input data. The two additions in the present approach are the use of a demand failure model instead of a time-dependent model for the scram system and the incorporation of Bayesian Priors into the probabilistic treatment of the data.
OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
This document is the first of a series which will examine the basis for the problem of Anticipated Transients Without Scram (ATWS). The purpose of these documents is to evaluate risk due to ATWS in the light of developments subsequent to the publication of WASH-1270 and to reevaluate the probabilistic basis for ATWS. The purpose of Part I is to upgrade the numerical information presented in WASH-1270 by correcting deficiencies in that document and updating the input data. The two additions in the present approach are the use of a demand failure model instead of a time-dependent model for the scram system and the incorporation of Bayesian Priors into the probabilistic treatment of the data.
Key concepts: Scram, Probabilistic logic, Computer science, Bayesian probability, Upgrade, Prior probability, Nuclear engineering, Engineering