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Radiation Protection & Shielding
The Radiation Protection and Shielding Division is developing and promoting radiation protection and shielding aspects of nuclear science and technology — including interaction of nuclear radiation with materials and biological systems, instruments and techniques for the measurement of nuclear radiation fields, and radiation shield design and evaluation.
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International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2025)
April 27–30, 2025
Denver, CO|The Westin Denver Downtown
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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!
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Sam Altman steps down as Oklo board chair
Advanced nuclear company Oklo Inc. has new leadership for its board of directors as billionaire Sam Altman is stepping down from the position he has held since 2015. The move is meant to open new partnership opportunities with OpenAI, where Altman is CEO, and other artificial intelligence companies.
Sri Sudadiyo
Nuclear Technology | Volume 211 | Number 4 | April 2025 | Pages 645-660
Review Article | doi.org/10.1080/00295450.2024.2352663
Articles are hosted by Taylor and Francis Online.
The mean time between failures (MTBF) estimation has been intensively investigated in recent years. MTBF can be used to decide on a maintenance strategy or inspection timeline intervals for the RSG-GAS reactor (or GAS multipurpose reactor). The RSG-GAS reactor is a pool-type reactor where light water is used as a moderator, coolant, and shielding. The purpose of this paper is to propose the nonhomogeneous Poisson process (NHPP) model to obtain the MTBF estimation value. Thus, the RSG-GAS reactor installation would have higher safety, a longer lifetime, and substantial reliability with a minor failure rate, including the subcomponents of the JE01-AP03 primary centrifugal pump.
In this research work, the methodology processes data accumulation and estimates the parameters of the NHPP model to determine the maintenance schedule or inspection timeline intervals based on the MTBF value when the confidence level reaches the targeted percentage. The results indicate that a MTBF estimation has been acquired for the RSG-GAS reactor installation. In the implemented case, an inspection timeline is defined for the JE01-AP03 primary centrifugal pump with a reliability growth value of 0.41 and a MTBF estimation circa 42 days.
