By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
M. Boroushaki ; Dept. of Mech. Eng., Sharif Univ. of Technol., Tehran, Iran ; M. B. Ghofrani ; C. Lucas

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).

Published in:

IEEE Transactions on Nuclear Science  (Volume:52 ,  Issue: 3 )