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Title: Science-Based Simulation Model of Human Performance for Human Reliability Analysis

Abstract

Human reliability analysis (HRA), a component of an integrated probabilistic risk assessment (PRA), is the means by which the human contribution to risk is assessed, both qualitatively and quantitatively. However, among the literally dozens of HRA methods that have been developed, most cannot fully model and quantify the types of errors that occurred at Three Mile Island. Furthermore, all of the methods lack a solid empirical basis, relying heavily on expert judgment or empirical results derived in non-reactor domains. Finally, all of the methods are essentially static, and are thus unable to capture the dynamics of an accident in progress. The objective of this work is to begin exploring a dynamic simulation approach to HRA, one whose models have a basis in psychological theories of human performance, and whose quantitative estimates have an empirical basis. This paper highlights a plan to formalize collaboration among the Idaho National Laboratory (INL), the University of Maryland, and The Ohio State University (OSU) to continue development of a simulation model initially formulated at the University of Maryland. Initial work will focus on enhancing the underlying human performance models with the most recent psychological research, and on planning follow-on studies to establish an empirical basismore » for the model, based on simulator experiments to be carried out at the INL and at the OSU.« less

Authors:
; ; ;
Publication Date:
Research Org.:
Idaho National Laboratory (INL)
Sponsoring Org.:
USDOE
OSTI Identifier:
1031703
Report Number(s):
INL/CON-11-23194
TRN: US1200155
DOE Contract Number:  
DE-AC07-05ID14517
Resource Type:
Conference
Resource Relation:
Conference: Enlarged Halden Program Group (EHPG) Meeting,Sandefjord, Norway,10/02/2011,10/04/2011
Country of Publication:
United States
Language:
English
Subject:
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; 97 MATHEMATICAL METHODS AND COMPUTING; 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; 22 GENERAL STUDIES OF NUCLEAR REACTORS; ACCIDENTS; INEEL; PERFORMANCE; PLANNING; RELIABILITY; RISK ASSESSMENT; SIMULATION; SIMULATORS; human performance modeling; human reliability analysis; RELAP; simulator study

Citation Formats

Dana L. Kelly, Ronald L. Boring, Ali Mosleh, and Carol Smidts. Science-Based Simulation Model of Human Performance for Human Reliability Analysis. United States: N. p., 2011. Web.
Dana L. Kelly, Ronald L. Boring, Ali Mosleh, & Carol Smidts. Science-Based Simulation Model of Human Performance for Human Reliability Analysis. United States.
Dana L. Kelly, Ronald L. Boring, Ali Mosleh, and Carol Smidts. Sat . "Science-Based Simulation Model of Human Performance for Human Reliability Analysis". United States. https://www.osti.gov/servlets/purl/1031703.
@article{osti_1031703,
title = {Science-Based Simulation Model of Human Performance for Human Reliability Analysis},
author = {Dana L. Kelly and Ronald L. Boring and Ali Mosleh and Carol Smidts},
abstractNote = {Human reliability analysis (HRA), a component of an integrated probabilistic risk assessment (PRA), is the means by which the human contribution to risk is assessed, both qualitatively and quantitatively. However, among the literally dozens of HRA methods that have been developed, most cannot fully model and quantify the types of errors that occurred at Three Mile Island. Furthermore, all of the methods lack a solid empirical basis, relying heavily on expert judgment or empirical results derived in non-reactor domains. Finally, all of the methods are essentially static, and are thus unable to capture the dynamics of an accident in progress. The objective of this work is to begin exploring a dynamic simulation approach to HRA, one whose models have a basis in psychological theories of human performance, and whose quantitative estimates have an empirical basis. This paper highlights a plan to formalize collaboration among the Idaho National Laboratory (INL), the University of Maryland, and The Ohio State University (OSU) to continue development of a simulation model initially formulated at the University of Maryland. Initial work will focus on enhancing the underlying human performance models with the most recent psychological research, and on planning follow-on studies to establish an empirical basis for the model, based on simulator experiments to be carried out at the INL and at the OSU.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2011},
month = {10}
}

Conference:
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