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Aerospace Nuclear Science & Technology
Organized to promote the advancement of knowledge in the use of nuclear science and technologies in the aerospace application. Specialized nuclear-based technologies and applications are needed to advance the state-of-the-art in aerospace design, engineering and operations to explore planetary bodies in our solar system and beyond, plus enhance the safety of air travel, especially high speed air travel. Areas of interest will include but are not limited to the creation of nuclear-based power and propulsion systems, multifunctional materials to protect humans and electronic components from atmospheric, space, and nuclear power system radiation, human factor strategies for the safety and reliable operation of nuclear power and propulsion plants by non-specialized personnel and more.
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
BWXT will scout potential TRISO fuel production sites in Wyoming
BWX Technologies Inc. announced today that its Advanced Technologies subsidiary has signed a cooperation agreement with the state of Wyoming to evaluate locations and requirements for siting a potential new TRISO nuclear fuel fabrication facility in the state.
Sidney Oldberg, Jr., Ronald A. Christensen
Nuclear Technology | Volume 37 | Number 1 | January 1978 | Pages 40-47
Technical Paper | Fuel | doi.org/10.13182/NT78-A32089
Articles are hosted by Taylor and Francis Online.
Received December 27, 1976 Accepted for Publication September 7, 1977 A review of the characteristics of available fuel rod reliability models reveals an extremely wide range of opinion regarding the scale of complexity appropriate to the problem. It is argued that this diversity of opinion is symptomatic of a model building style in which no attention is formally paid to the uncertainty in the model predictions. An information-theory-based methodology is suggested as a means for systematically building a model in which the information content of the prediction is no more and no less than the information content of the supporting data.