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July 16, 2019 @ 1:00 pm - 3:00 pm MDT
Title: Monitoring and Predicting Stress Corrosion Cracking of Long Term Spent Nuclear Fuel Storage
Program: Doctor of Philosophy in Electrical and Computer Engineering
Advisor: Dr. Sin Ming Loo, Electrical and Computer Engineering
Committee Members: Dr. Michael Hurley, Materials Science and Engineering, Dr. Jim Browning, Electrical and Computer Engineering, Dr. Brian Jaques, Materials Science and Engineering
With the closing of the Yucca mountain storage facility, on-site storage of spent nuclear fuel at reactor sites has increased and will continue to increase until a permanent storage facility is prepared. Dry storage canisters are used to store spent nuclear fuel waste over long periods of time, but are susceptible to mechanical failure via corrosion. This dissertation presents a system to monitor the integrity of the storage canister. Sensor data fusion algorithms are being designed to predict the integrity of the storage system and provide feedback for preventative maintenance.