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ROBBY CHRISTIAN,송선호,강현국 한국원자력학회 2015 Nuclear Engineering and Technology Vol.47 No.2
The application of neutron noise analysis (NNA) to the ex-core neutron detector signal formonitoring the vibration characteristics of a reactor core support barrel (CSB) wasinvestigated. Ex-core flux data were generated by using a nonanalog Monte Carlo neutron transportmethod in a simulated CSB model where the implicit capture and Russian roulette techniquewere utilized. First and third order beam and shell modes of CSB vibration weremodeled based on parallel processing simulation. A NNA module was developed to analyzethe ex-core flux data based on its time variation, normalized power spectral density,normalized cross-power spectral density, coherence, and phase differences. The data werethen analyzed with a fuzzy logic module to determine the vibration characteristics. The ex-core neutron signal fluctuation was directly proportional to the CSB's vibrationobserved at 8Hz and15Hzin thebeammodevibration, and at 8Hz inthe shellmodevibration. The coherence result between flux pairs was unity at the vibration peak frequencies. A distinct pattern of phase differences was observed for each of the vibration models. The developed fuzzy logic module demonstrated successful recognition of the vibrationfrequencies, modes, orders, directions, and phase differences within 0.4 ms for the beamand shell mode vibrations
A software tool for integrated risk assessment of spent fuel transportation and storage
Mirae Yun,Robby Christian,김보경,Belal Almomani,Jaehyun Ham,이상훈,강현국 한국원자력학회 2017 Nuclear Engineering and Technology Vol.49 No.4
When temporary spent fuel storage pools at nuclear power plants reach their capacity limit, the spentfuel must be moved to an alternative storage facility. However, radioactive materials must be handledand stored carefully to avoid severe consequences to the environment. In this study, the risks of threepotential accident scenarios (i.e., maritime transportation, an aircraft crashing into an interim storagefacility, and on-site transportation) associated with the spent fuel transportation process were analyzedusing a probabilistic approach. For each scenario, the probabilities and the consequences were calculatedseparately to assess the risks: the probabilities were calculated using existing data and statistical models,and the consequences were calculated using computation models. Risk assessment software wasdeveloped to conveniently integrate the three scenarios. The risks were analyzed using the developedsoftware according to the shipment route, building characteristics, and spent fuel handling environment. As a result of the risk analysis with varying accident conditions, transportation and storage strategieswith relatively low risk were developed for regulators and licensees. The focus of this study was the riskassessment methodology; however, the applied model and input data have some uncertainties. Furtherresearch to reduce these uncertainties will improve the accuracy of this model.