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Division Spotlight
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.
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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ANS designates Armour Research Foundation Reactor as Nuclear Historic Landmark
The American Nuclear Society presented the Illinois Institute of Technology with a plaque last week to officially designate the Armour Research Foundation Reactor a Nuclear Historic Landmark, following the Society’s decision to confer the status onto the reactor in September 2024.
M. K. Booker, V. K. Sikka
Nuclear Technology | Volume 30 | Number 1 | July 1976 | Pages 52-64
Technical Paper | Material | doi.org/10.13182/NT76-A31623
Articles are hosted by Taylor and Francis Online.
Current elevated-temperature nuclear system design rules require consideration of the time to the onset of tertiary creep as one factor in the determination of design-allowable stress intensity limits. However, tertiary creep data are often scarce, and little work has been done in their analysis. Time to tertiary creep data may be analyzed by the same parametric techniques that were developed for treating rupture life data. Also, time to tertiary creep, t3, is expressed as a function of rupture life,tr by, , where A and β are material constants. Finally, comparisons between these two prediction methods show that they produce similar results.