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What’s reshaping nuclear licensing and compliance today?
Mark Reidmeyer
It is the convergence of urgency, innovation, and modernization that is reshaping nuclear licensing and compliance today.
For decades, nuclear licensing operated in a relatively stable environment built around large light water reactors, predictable review cycles, and well-established regulatory pathways. Today, that model is evolving rapidly. Advanced reactors, AI-enabled tools, digital engineering platforms, grid reliability concerns, and aggressive decarbonization goals are all pushing the industry—and regulators—to move faster and think differently.
C. R. Brinkman, G. E. Korth, R. R. Hobbins
Nuclear Technology | Volume 16 | Number 1 | October 1972 | Pages 297-307
Technical Paper | Reactor Materials Performance / Material | doi.org/10.13182/NT72-A31195
Articles are hosted by Taylor and Francis Online.
Comparing data obtained from tests conducted on unirradiated Type 316 stainless steel in either the solution annealed or solution annealed and aged condition showed that aging was beneficial in improving both the fatigue and creep-fatigue properties at 593°C (1100°F). An indication was found that unirradiated Type 304 stainless steel would be more suitable for applications involving creep-fatigue interaction than unirradiated Type 316 stainless steel. Irradiation to fluences of 0.17 to 6.1 × 1021 n/cm2 E > 0.1 MeV (450°C), resulted in a pronounced effect on the creep-fatigue resistance of these materials when tested at a strain range of 1%. Both fatigue and creep damage values were calculated using actual times and cycles to failure and design times and cycles to failure. These damage values were summed linearly. Damage sums obtained were not found to be a unique value but dependent upon strain range, length of tensile hold time, and material condition. Comparisons between estimates of irradiated fatigue behavior and actual irradiated fatigue lifetimes were made using limited data available. Estimates made using irradiated tensile data were usually found to be conservative in predicting pure fatigue behavior.