ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Latest Magazine Issues
Mar 2026
Jan 2026
Latest Journal Issues
Nuclear Science and Engineering
March 2026
Nuclear Technology
February 2026
Fusion Science and Technology
April 2026
Latest News
Kentucky disburses $10M in nuclear grants
The Kentucky Nuclear Energy Development Authority (KNEDA) recently distributed its first awards through the new Nuclear Energy Development Grant Program, which was established last year. In total, KNEDA disbursed $10 million to a variety of companies that will use the funding to support siting studies, enrichment supply-chain planning, workforce training, and curriculum development.
Ibrahim Jarrah, Rizwan uddin (Univ of Illinois)
Proceedings | 2018 International Congress on Advances in Nuclear Power Plants (ICAPP 2018) | Charlotte, NC, April 8-11, 2018 | Pages 503-512
The spent fuel dry cask should remain subcritical under normal, abnormal, and accident conditions. The cask becomes susceptible to criticality if it is misloaded with assemblies that do not conform with the Certificate of Compliance (CoC). To avoid this scenario, the cask loading process involves several verification steps to make sure that all of the loaded assemblies satisfy the CoC requirements. However, most of loading and verification steps are carried out by humans with finite probabilities for errors, which need to be quantified. In this paper, the probability of misloading a cask with light water reactor (PWR and BWR) fuel is quantified using the event tree method. Probability distribution functions for all of the human errors are obtained using the SPAR-H human reliability analysis method. The Fussell-Vesely (FV) importance measure is performed to determine the tasks that contribute the most to the having a misloaded cask. The probability of misload is found to be 5.56E-06 for cask loaded with the PWR and 2.95E-05 for the cask loaded with the BWR fuel. Both of these are considered to be small.