The purpose of this paper is to cover human reliability analysis of the Tehran research reactor using an appropriate method for the representation of human failure probabilities. In the present work, the technique for human error rate prediction and standardized plant anal y sis risk-human reliability methods have been utilized to quantify different categories of human errors, applied extensively to nuclear power plants. Human reliability analysis is, indeed, an integral and significant part of probabilistic safety analysis studies, without it probabilistic safety analysis would not be a systematic and complete representation of actual plant risks. In addition, possible human errors in research reactors constitute a significant part of the associated risk of such installations and including them in a probabilistic safety anal y sis for such facilities is a complicated issue. Standardized plant anal y sis risk-human can be used to ad dress these concerns; it is a well-documented and systematic human reliability analysis system with tables for human performance choices pre pared in consultation with experts in the domain. In this method, performance shaping factors are selected via tables, human action dependencies are accounted for, and the method is well designed for the intended use. In this study, in consultations with reactor operators, human errors are identified and adequate performance shaping factors are assigned to produce proper human failure probabilities. Our importance analysis has revealed that human action contained in the possibility of an external object falling on the re actor core are the most significant human errors concerning the Tehran research reactor to be considered in reactor emergency operating procedures and operator training programs aimed at improving reactor safety.
CITATION STYLE
Barati, R., & Setayeshi, S. (2012). Human reliability analysis of the Tehran research reactor using the SPAR-H method. Nuclear Technology and Radiation Protection, 27(3), 319–332. https://doi.org/10.2298/NTRP1203319B
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