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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.
Joonhong Ahn, Paul L. Chambré, Byung-Hyun Park
Nuclear Technology | Volume 155 | Number 2 | August 2006 | Pages 226-247
Technical Paper | Radioactive Waste Management and Disposal | doi.org/10.13182/NT06-A3758
Articles are hosted by Taylor and Francis Online.
A mathematical model for mass flow in a transmutation system has been established for a chain of two transuranic (TRU) radionuclides. The nonrecursive solutions for the fractions of the two TRU radionuclides in the transmuter core before and after the irradiation in the i'th cycle have been obtained by the similarity transformation. With the nonrecursive analytical solutions, the TRU reduction ratio has been formulated as a performance measure for the system. The stability of the system has been defined in terms of the moduli of the eigenvalues of the system. The conditions for a stable system and for a system to reach a quasi-steady state with fewer cycles have been shown in terms of the system parameters. A large value of the nondimensionalized destruction coefficient d is beneficial for effective waste reduction because (a) the system reaches a quasi-steady state faster; (b) the TRU mass in the waste can be reduced more effectively; and (c) the precursor effect becomes negligible, and each radionuclide can be approximately treated as a single radionuclide without precursors.