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.
Division Spotlight
Mathematics & Computation
Division members promote the advancement of mathematical and computational methods for solving problems arising in all disciplines encompassed by the Society. They place particular emphasis on numerical techniques for efficient computer applications to aid in the dissemination, integration, and proper use of computer codes, including preparation of computational benchmark and development of standards for computing practices, and to encourage the development on new computer codes and broaden their use.
Meeting Spotlight
2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
Latest Magazine Issues
May 2024
Jan 2024
Latest Journal Issues
Nuclear Science and Engineering
June 2024
Nuclear Technology
Fusion Science and Technology
Latest News
Proving DRACO will deliver
The United States is now closer than it has been in over five decades to launching the first nuclear thermal rocket into space, thanks to DRACO—the Demonstration Rocket for Agile Cislunar Orbit.
Dong Hoon Kim, Gwang Seop Son, Choul Woong Son, Dong Young Lee
Nuclear Technology | Volume 189 | Number 1 | January 2015 | Pages 87-102
Technical Paper | Nuclear Plant Operations and Control | doi.org/10.13182/NT13-142
Articles are hosted by Taylor and Francis Online.
This paper presents the architecture of the reactor protection system (RPS) in a nuclear integrated safety system (NISS) and describes the evaluation and analysis of reliability for NISS-RPS using the Markov model. NISS-RPS has four-channel redundancy like existing digital RPSs. However, a channel is configured based on triple modular redundancy and can be reconfigured on detecting faults. To analyze and evaluate the reliability of NISS-RPS, the Markov model for NISS-RPS and RPSs that are in operation or under construction in Korea were developed. Their reliability was evaluated and analyzed using the models. From the reliability analyses for NISS-RPS, it was observed that the failure rate of each module in NISS-RPS should be <2 × 10−5/hour, and the mean time to failure (MTTF) is ∼20 000 hours, which is two times better than the MTTF requirement of 10 000 hours. The MTTF average increase rate, which depends on the fault coverage factor (FCF) increment, ΔMTTF/ΔFCF, is 1850 hours/0.1. The results of comparison with other RPSs show that the reliability of NISS-RPS is at least 1.5 times better than that of the other three types of RPS architecture, and the MTTF is at least 14 months longer than that of the other types.