Title :
Simulation of nuclear reactor core kinetics using multilayer 3-D cellular neural networks
Author :
Boroushaki, Mehrdad ; Ghofrani, Mohammad B. ; Lucas, Caro
Author_Institution :
Dept. of Mech. Eng., Sharif Univ. of Technol., Tehran, Iran
fDate :
6/1/2005 12:00:00 AM
Abstract :
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).
Keywords :
VLSI; cellular neural nets; fission reactor core control; fission reactor kinetics; neutron flux; nuclear engineering computing; partial differential equations; space research; spatiotemporal phenomena; CNN; VLSI; equivalent electrical circuit; large scale systems; multilayer 3-D cellular neural networks; nonelectrical problems; nuclear reactor core kinetics simulation; online simulation; partial differential state equations; reactor core neutron flux; space nuclear fission reactors; spatiotemporal distribution; very large scale integration technology; Cellular neural networks; Circuit simulation; Differential equations; Fission reactors; Inductors; Kinetic theory; Large-scale systems; Multi-layer neural network; Space technology; Very large scale integration; Cellular neural networks; equivalent electrical circuits; nuclear reactor kinetics; nuclear reactor simulation;
Journal_Title :
Nuclear Science, IEEE Transactions on
DOI :
10.1109/TNS.2005.852617