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IAEA project aims to develop polymer irradiation model
The International Atomic Energy Agency has launched a new coordinated research project (CRP) aimed at creating a database of polymer-radiation interactions in the next five years with the long-term goal of using the database to enable machine learning–based predictive models.
Radiation-induced modifications are widely applicable across a range of fields including healthcare, agriculture, and environmental applications, and exposure to radiation is a major factor when considering materials used at nuclear power plants.
Jun Li, Man-Sung Yim, David McNelis
Nuclear Technology | Volume 162 | Number 3 | June 2008 | Pages 293-307
Technical Paper | Fuel Cycle and Management | doi.org/10.13182/NT08-A3957
Articles are hosted by Taylor and Francis Online.
The development of a fuzzy logic-based barrier (FLB) method for the evaluation of the proliferation resistance of nuclear fuel cycle systems is described in this paper. The method is based on using a group of system-dependent, measurable, or quantifiable variables to define the proliferation barrier effectiveness of a system as fuzzy numbers. The usefulness of the FLB method and the resulting metric in quantifying the proliferation resistance of fuel cycle systems was also investigated by applying it to three fuel cycles, i.e., light water reactor-once-through, light water reactor with mixed oxide fuel, and direct use of spent pressurized water reactor fuel in CANDU reactor. To address the issue of subjectivity in assigning barrier weighting factors or fuzzy numbers, the sensitivity of the results to the definition of fuzzy numbers and weighting schemes was also investigated.