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On modeling sources of radiation-induced effects in heterogeneous materials
V. A. Soboleva, M. E. Zhukovskiy Keldysh Institute of Applied Mathematics of RAS
Abstract:
An approach to the calculation of initial data for computing the radiation-induced secondary effects in a heterogeneous environment is considered. A method for solving the problem of integration "according to data" of the results of modeling cascade processes of radiation transport and the processes of generation of secondary radiation-induced effects is proposed. The method is based on a multidimensional approximation of the results of statistical modeling of the interaction of radiation with matter on a difference grid designed for numerical solution of the equations of electro- and thermodynamics. The approximation is built using neural network technology. The geometric model of a heterogeneous medium is based on Stilinger-Lubachevsky algorithms for multimodal structures. The results of demonstration calculations are presented.
Keywords:
radiation transfer, multidimensional approximation, radiation-induced effects, neural networks.
Received: 16.11.2021 Revised: 16.11.2021 Accepted: 17.01.2022
Citation:
V. A. Soboleva, M. E. Zhukovskiy, “On modeling sources of radiation-induced effects in heterogeneous materials”, Matem. Mod., 34:3 (2022), 117–130; Math. Models Comput. Simul., 14:5 (2022), 829–836
Linking options:
https://www.mathnet.ru/eng/mm4363 https://www.mathnet.ru/eng/mm/v34/i3/p117
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Abstract page: | 239 | Full-text PDF : | 52 | References: | 56 | First page: | 5 |
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