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 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
Latest Magazine Issues
Jun 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
July 2026
Nuclear Technology
June 2026
Fusion Science and Technology
May 2026
Latest News
MARVEL team shares lessons learned through microreactor development
On June 1 at the American Nuclear Society’s Annual Conference in Denver, Colo., a team from Idaho National Laboratory presented a session titled “Lessons Learned from MARVEL Reactor Fabrication.” The presentation highlighted challenges that arose as they moved from design to manufacturing and assembly, with a focus on reactor part fabrication, Stirling engine implementation, and reactivity control system development.
Edmund T. Rumble, Boyer B. Chu
Nuclear Technology | Volume 79 | Number 1 | October 1987 | Pages 7-19
Technical Paper | Fission Reactor | doi.org/10.13182/NT87-A16001
Articles are hosted by Taylor and Francis Online.
The application of systems reliability analysis (SRA) at nuclear power plants is broadening from its initial focus on safety-related design considerations to also include operations and maintenance (O&M) issues. Effective analysis of O&M questions requires increased resources and support such as accurate and timely plant feedback. A new approach has been developed that links data from plant information management systems with systems reliability tools and models. This approach is being automated in a software system named RAPID (Reliability Assessment Program with In-Plant Data). The objective of RAPID is to provide an environment for SRA with potential for dramatically improving the quality, quantity, and timeliness of plant reliability information available for decision making, especially for O&M issues. At the same time, the system should enhance engineering efficiency by automating access to such needed resources as plant data, logic models, and evaluation codes. A developmental version of RAPID is operational at the Arizona Nuclear Power Project, where features for supporting engineering activities are being demonstrated.