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Argonne: Where AI research meets education and training
Last September, in the Chicago suburb of Lemont, Ill., Argonne National Laboratory hosted its first AI STEM Education Summit. More than 180 educators from high schools, community colleges, and universities; STEM administrators; and experts in various disciplines convened at “One Ecosystem, Many Pathways–Building an AI-Ready STEM Workforce” to discuss how artificial intelligence is reshaping STEM-related industries, including the implications for the nuclear engineering classroom and workforce.
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.