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.
G. Apostolakis, T. L. Chu
Nuclear Technology | Volume 50 | Number 1 | August 1980 | Pages 5-15
Technical Paper | Reactor | doi.org/10.13182/NT80-A17065
Articles are hosted by Taylor and Francis Online.
The reliability analysis of the engineered safety systems of nuclear power plants requires the calculation of the pointwise and average unavailabilities of redundant systems under periodic test and maintenance. The complexity of the calculations usually requires simulation for realistic results. However, simple analytical expressions showing the significant contributions to the unavailability provide insights concerning the relative importance of the potential failure modes of the systems, such as hardware failures, demand-type failures, human errors, and various types of dependent (common cause) failures. These expressions can be used for a quick calculation of the unavailability as well as the propagation of uncertainties by analytical methods, e.g., the method of moments.