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
Feb 2026
Jul 2025
Latest Journal Issues
Nuclear Science and Engineering
March 2026
Nuclear Technology
February 2026
Fusion Science and Technology
January 2026
Latest News
ANS 2026 election is open
The 2026 American Nuclear Society election is now open. Members can vote for the Society’s next vice president/president-elect as well as six board members (five U.S. directors and one non-U.S. director). Completed ballots must be submitted by 12:00 p.m. (CDT) on Wednesday, April 1, 2026.
All ANS members have been emailed a unique access key from third-party election vendor ElectionBuddy. Each member can use their access key to vote once, and each vote will remain anonymous. Visit secure.electionbuddy.com/ballot to vote.
Manorma Kumar, Guillem Cortes Rossell
Nuclear Technology | Volume 211 | Number 4 | April 2025 | Pages 661-673
Review Article | doi.org/10.1080/00295450.2024.2356328
Articles are hosted by Taylor and Francis Online.
The paper is focused on how to apply the probabilistic safety assessment (PSA) methodology to assess the nuclear safety risks associated with the transportation of radioactive material. The methodology is comprehensive and covers the different modes of transport (for example, by road, by train, by ship, and by air) used for the transportation of radioactive material. The proposed methodology can be applied to any specific mode of transportation of radioactive material as well as to any specific country. This paper focuses on application of this methodology for transportation of radioactive material by train.
The systematic assessment starts with the identification of the risk associated with the transportation mode and its initiating events to analyze what can go wrong in the transportation of radioactive material and how likely it can be. An accident involving radioactive material has sensitive information, and such information is not publicly available. Therefore, generic accident data can be utilized to develop probabilistic models and quantify the risk associated with radioactive material transportation. Another fact is that radioactive material transportation accidents are extremely rare; hence, associated statistics are insufficient for the development of PSA models, so generic accident data can be used to predict accident frequency.
The paper explores the feasibility of using probabilistic methods to assess the safety risks associated with radioactive material transport. The paper describes how to perform a comprehensive probabilistic assessment and create a generic accident event tree that is based on train accident data. The focus of the event tree is to outline a range of different train accident scenarios and their respective probabilities of occurrence and their consequences.