Abstract
Since the U.S. currently only approves of storing used nuclear fuel in pools or dry casks, the demand for dry cask storage is on the rise due to the continuous operation of currently existing nuclear plants which are reaching or have reached the capacity of their used fuel pools. With the rising demand comes additional pressure to ensure the integrity of dry cask systems. Visual inspection is costly and man-power intensive, so alternative nondestructive testing techniques are desired to insure the continued safe and effective storage of fuel. One such approach being investigated by the University of Florida is neutron based computed tomography. Simulations in MCNP are preformed where D-T energy neutrons are transmitted through the dry cask and measured on the opposite side. If the transmitted signal is clear enough, the interior of the cask can be reconstructed from the measurement of the alterations of neutron signal intensity using standard mathematical techniques developed for medical imaging. Preliminary efforts show a correlation between energy and number of scatters (which is an indication of retention of position information). Work is ongoing to quantify if the correlation is strong enough that an energy discriminator may be used as a filter in future image reconstruction. The calculated transmission probability suggests that an image could be reconstructed with a week of scanning.
Original language | English |
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Pages (from-to) | 5-11 |
Number of pages | 7 |
Journal | Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment |
Volume | 874 |
DOIs | |
State | Published - Dec 1 2017 |
Externally published | Yes |
Funding
This material is based upon work supported in part under an Integrated University Program Graduate Fellowship. Additionally, this publication was made possible through support provided by the U.S. Department of Energy under the terms of Agreement No. DE-NE0008400 . The opinions expressed herein are those of the author(s) and do not necessarily reflect the views of the U.S. Department of Energy. Finally, the University of Florida’s Research Computing and their HiPerGator high-performance cluster provided the access to computational resources.
Funders | Funder number |
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U.S. Department of Energy | DE-NE0008400 |
Keywords
- Computed tomography
- Dry cask storage
- Imaging
- Neutron tomography
- Nondestructive testing
- Used nuclear fuel