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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.
W. J. Penn, R. K. Lo, J. C. Wood
Nuclear Technology | Volume 34 | Number 2 | July 1977 | Pages 249-268
Technical Paper | Fuel | doi.org/10.13182/NT77-A39701
Articles are hosted by Taylor and Francis Online.
Extensive fuel performance data obtained from Canadian Deuterium Uranium (CANDU) power reactors and experimental reactors are analyzed. Various modes of power ramping that cause fuel defects are identified, and fuel defect criteria are derived. The probability of a defect occurring in a power ramp is found to depend on the magnitude of the ramped power, the power increase, the fuel burnup, and the time fuel dwells at the ramped power. The fuel defect rate in CANDU power reactors based on the last 10 years of operation and due to all causes has been only 0.27%. The understanding gained through the development of the CANDU power ramp defect criteria has caused the defect rate to decrease progressively. Physical interpretations are offered in terms of mechanisms believed to account for power ramp defects. The dominant mechanism is considered to be stress corrosion cracking of the Zircaloy clad, induced by the release of such fission products as iodine from the fuel.