Simulation of nuclear reactor core kinetics using multilayer 3-D cellular neural networks

Different nonelectrical problems can be effectively modeled by their equivalent electrical circuit, using cellular neural network (CNN). Dynamics of such large scale systems with partial differential state equations can be simulated by this technique in real-time. In this paper, we described an originally derived method to model and solve nuclear reactor kinetic equations via multilayer CNN. We proposed an innovative method for online calculation of spatio-temporal distribution of the reactor core neutron flux. One of the main applications of the proposed approach can be development of a new hardware for online simulation and control of nuclear reactor core via very large scale integration (VLSI) technology. Such CNN model will be more valuable when a considerable decrease in weight and size of control system is required (e.g., in space nuclear fission reactors).

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