Home / Store / Journals / Electronic Articles / Nuclear Science and Engineering / Volume 155 / Number 1 / Pages 119-130
Mehrdad Boroushaki, Mohammad B. Ghofrani, Caro Lucas
Nuclear Science and Engineering / Volume 155 / Number 1 / Pages 119-130
Format:electronic copy (download)
In this paper, we describe an innovative method to model and solve spatio-temporal behavior of nuclear reactor cores via three-dimensional multilayer cellular neural networks. This method uses electrical elements and the existing duality between neutronic and thermal-hydraulic parameters of nuclear reactors. The relevant electrical circuit can be simulated by existing professional electrical circuit software. This research goes beyond our previous efforts to use a neural computing approach in the nuclear field. Modeling and solving simple nuclear reactor kinetic equations is now expanded to a complete dynamic calculation, integrating the core thermal-hydraulic models and the relevant feedback effects, in a heterogeneous reactor core.
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