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 Winter Conference & Expo
November 15–18, 2026
Phoenix, AZ|Arizona Grand Resort & Spa
Latest Magazine Issues
Aug 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
October 2026
Nuclear Technology
September 2026
Fusion Science and Technology
August 2026
Latest News
LLNL, Ampera partner to develop thorium-based TRISO fuel
Lawrence Livermore National Laboratory has formed a strategic partnership with Ampera to develop the company’s nuclear fuel concept through a project named THUNDER, for Thorium Unimodal Droplet Ejection for Reactors.
The focus of THUNDER is fabricating TRISO made with kernels of thorium rather than the usual uranium. LLNL and Ampera will evaluate and optimize liquid metal–jetting technology to produce highly uniform, spherical kernels of thorium-232 for later processing into TRISO fuel.
Selim Sancaktar, David R. Sharp
Nuclear Technology | Volume 84 | Number 3 | March 1989 | Pages 315-318
Technical Paper | Probabilistic Safety Assessment and Risk Management / Nuclear Safety | doi.org/10.13182/NT89-A34215
Articles are hosted by Taylor and Francis Online.
Probabilistic risk assessment (PRA) techniques and the lessons learned from previous PRA studies were used to evaluate the effectiveness of various design alternatives for the Westinghouse advanced pressurized water reactor design. This evaluation was done successfully at the design stage prior to the licensing stage and is probably the first example of such an application for a nuclear power plant design. Three measures of risk were utilized: plant core melt frequency per year, severe fission product release frequency per year, and economic risk to the plant owner in terms of present-day dollars. All plant configurations considered met or exceeded the safety criteria associated with regulatory requirements. The comparison of different alternatives was performed iteratively; after each iteration, the system most effective in reducing the total plant core melt frequency was chosen and added to the base plant configuration. The iterations were terminated when a predetermined cutoff level was reached. Probabilistic risk assessment techniques provide a viable method to create additional decision-making information at the plant design stage.