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Title:Risk of misloading spent nuclear fuel cask for light water reactors
Author(s):Jarrah, Ibrahim
Advisor(s):Uddin, Rizwan
Contributor(s):Mohaghegh, Zahra
Department / Program:Nuclear, Plasma, & Rad Engr
Discipline:Nuclear, Plasma, Radiolgc Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(s):Spent fuel cask
misload
PRA
Risk
Abstract:The spent fuel dry cask should remain subcritical under normal, abnormal, and accident conditions. The cask may become susceptible to criticality if it is misloaded with assemblies that do not conform with the Certificate of Compliance (CoC). Assessment of probability of criticality for a misloaded cask that subsequently experiences an accident during the transportation process is also of interest. To avoid misloading, the cask loading process involves several verification steps to make sure that all of the loaded assemblies satisfy the CoC requirements. However, most of the loading and verification steps are carried out by humans with finite probabilities for errors, which need to be quantified. Quantification of the risk of having a misloaded cask may reduce the conservatism in the cask designs and eliminate unnecessary steps in the spent fuel handling and loading procedure. In the first part of this study, the probability of misloading a cask with at least one light water reactor, pressurized water reactor (PWR) and boiling water reactor (BWR), fuel assembly is quantified first using the event tree method. An event tree and associated fault trees are developed for the cask loading procedures. Probability distribution functions (PDFs) for all of the human errors are obtained using the Standardized Plant Analysis Risk-Human Reliability Analysis (SPAR-H) human reliability analysis method. Systems Analysis Programs for Hands-on Integrated Reliability Evaluations (SAPHIRE) software is used to quantify the event tree and to calculate the probability of misload. The probability of misloading a cask with at least one fuel assembly is first determined for PWR fuel and it was found to be 5.56E-06, which agrees well with that reported in the literature. The probability of misloading a cask with at least one fuel assembly for the BWR fuel is found to be 2.95E-05. The impact of the cask capacity on the probability of misload is quantified and discussed. The Fussell-Vesely (FV) importance measure is performed to determine the tasks that contribute the most to having a misloaded cask. The effects of the available time to perform a task and the stress level of the operator on the final probability of misload are studied. The available time and stress are found to have a significant impact on the final misload probability. Based on the neutronic calculations, the cask needs to be misloaded with more than one fuel assemblies in order to become susceptible to criticality. In the second part of this study, an event tree is built to predict the multiple misloads scenarios. Six multiple misloads scenarios are identified from the tree. The probabilities of the six scenarios and the total probability are calculated for casks for both reactor types. The probabilities calculated using this method are found to be 6.73E-07 and 7.55E-06 for PWR and BWR fuels, respectively. In addition, the probability of multiple misloads is calculated as a function of the cask capacity.
Issue Date:2018-12-14
Type:Thesis
URI:http://hdl.handle.net/2142/102866
Rights Information:Copyright 2018 Ibrahim Jarrah
Date Available in IDEALS:2019-02-07
Date Deposited:2018-12


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