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51316-7767-Monitoring and Predicting Stress Corrosion Cracking of Long Term Spent Nuclear Fuel Storage

Product Number: 51316-7767-SG
ISBN: 7767 2016 CP
Author: Vikram Patel
Publication Date: 2016
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$20.00
$20.00
With the closing of the Yucca mountain storage facility on-site storage of spent nuclear fuel at reactor sites within the United States 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. Currently there are no real time sensor systems available on the market to detect corrosion in this unique environment. A sacrificial sensor has been developed to monitor the rate of corrosion and has been designed to be placed on the surface of the canister. The sacrificial electrodes are placed under residual stress via plastic deformation or heat sensitized and placed under constant tension. This sensor has been able to detect stress corrosion cracking within laboratory environments. Additionally algorithms have been developed in conjunction with the sensor to predict the integrity of the storage system and provide feedback for preventative maintenance.
With the closing of the Yucca mountain storage facility on-site storage of spent nuclear fuel at reactor sites within the United States 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. Currently there are no real time sensor systems available on the market to detect corrosion in this unique environment. A sacrificial sensor has been developed to monitor the rate of corrosion and has been designed to be placed on the surface of the canister. The sacrificial electrodes are placed under residual stress via plastic deformation or heat sensitized and placed under constant tension. This sensor has been able to detect stress corrosion cracking within laboratory environments. Additionally algorithms have been developed in conjunction with the sensor to predict the integrity of the storage system and provide feedback for preventative maintenance.
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