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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.
Bernard Rottner
Nuclear Science and Engineering | Volume 155 | Number 3 | March 2007 | Pages 463-474
Technical Paper | Mathematics and Computation, Supercomputing, Reactor Physics and Nuclear and Biological Applications | doi.org/10.13182/NSE07-A2677
Articles are hosted by Taylor and Francis Online.
The activity of a radioactive waste package is usually evaluated from gamma measurements associated with transfer functions. These functions are calculated assuming that both activity and mass distributions are homogeneous. But, generally, activity and mass distributions are not homogeneous. This paper evaluates the effect of heterogeneities on the activity measurements on families of similar waste packages. An error arises, with a systematic part, leading to an overestimation or underestimation of the overall activity in a family of similar waste packages, and a stochastic part, whose mean effect on the overall activity of the family is null.In order to evaluate the effect of heterogeneities, numerical simulation of the filling of each package has been performed. Some filling parameters are randomly varied, according to the known characteristics of the real packages, so that the mass and activity distributions are different from one package to another but are always coherent with the characteristics of the real packages.These numerical simulations produce virtual families of packages. A way to fit and demonstrate the representativeness of the virtual family is described, so that the general results computed on this virtual family are applicable for the real family.