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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
Utility Working Conference and Vendor Technology Expo (UWC 2024)
August 4–7, 2024
Marco Island, FL|JW Marriott Marco Island
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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Latest News
Virginia utility considers SMRs
Dominion Energy Virginia has issued a request for proposals from leading nuclear companies to study the feasibility of putting a small modular reactor at its North Anna nuclear power plant.
While the utility says it is not a commitment to build an SMR at the site, the RFP is “an important first step in evaluating the technology and the North Anna site to support Dominion Energy customers’ future energy needs consistent with the company’s most recent Integrated Resource Plan.”
Yushi Fujita, Makoto Tohyama, Ichiro Yanagisawa, Toshio Ida, Hiroshi Arikawa
Nuclear Technology | Volume 95 | Number 1 | July 1991 | Pages 116-128
Technical Paper | Reactor Operation | doi.org/10.13182/NT91-A34573
Articles are hosted by Taylor and Francis Online.
A practical knowledge-based operator support system is being developed for Japanese pressurized water reactors. This system will be implemented at real power plants in the near future. The difficulty of realizing a practically usable system using normative models based on deep knowledge is discussed. Instead of adopting the normative approach, the system introduces a hierarchically organized model, called a “plant abnormality model,” to its diagnosis part. With its ability to envelope unforeseen events, it avoids the use of imperfect deep knowledge and the scenario dependability that is considered an inherent problem in abnormality models. Existing operational procedures are broken down into functionally independent task units and specified as knowledge sources for operational guidance. Depending on the plant status, relevant task units are dynamically integrated to synthesize operational procedures that are provided as operational guidance. Estimated information on unobservable or predictive plant status is used to enable flexible and timely synthesis of the procedures. An attempt is made to organize the information so that it is better understood by the operators by adopting the hypothesis-and-test scheme as a framework for the inference control mechanisms of the diagnosis system.