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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
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
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!
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INL’s new innovation incubator could link start-ups with an industry sponsor
Idaho National Laboratory is looking for a sponsor to invest $5 million–$10 million in a privately funded innovation incubator to support seed-stage start-ups working in nuclear energy, integrated energy systems, cybersecurity, or advanced materials. For their investment, the sponsor gets access to what INL calls “a turnkey source of cutting-edge American innovation.” Not only are technologies supported by the program “substantially de-risked” by going through technical review and development at a national laboratory, but the arrangement “adds credibility, goodwill, and visibility to the private sector sponsor’s investments,” according to INL.
Gwang Seop Son, Dong Hoon Kim, Choul Woong Son, Joon Kyo Kim, Jae Hyun Park
Nuclear Technology | Volume 184 | Number 3 | December 2013 | Pages 297-309
Technical Paper | Reactor Safety | doi.org/10.13182/NT13-A24987
Articles are hosted by Taylor and Francis Online.
This paper presents the architecture of the Safety Programmable Logic Controller (SPLC) for advanced nuclear safety systems and describes the evaluation and analyses of reliability for the SPLC using the Markov model. The SPLC is designed to have structural flexibility for users to select module redundancy according to the requirements of specific applications. To be used for the nuclear safety system, the SPLC is configured for multiple modular redundancy composed of dual modular redundancy and triple modular redundancy. Markov models were developed for three types of existing safety-grade Programmable Logic Controller (PLC) architectures and the SPLC, and the reliabilities of the architectures were then evaluated and analyzed using the models. The results show that the reliability of SPLC is up to 1.6 times better than those of the three PLC architectures, and the mean time to failure (MTTF) of the SPLC is up to 22 000 h better than those of the three. From the reliability analyses, the failure rate of each module in the SPLC should be <2 × 10-4 /h, and the MTTF average increase rate depending on the fault coverage factor (FCF) increment, i.e., MTFF/FCF, is 4 months/0.1.