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Application of genetic algorithms in optimization of SFR nuclear reactor design Cover

Application of genetic algorithms in optimization of SFR nuclear reactor design

Nukleonika
Volume 66 (2021): Issue 4 (December 2021)
By: Wojciech Żurkowski,  Piotr Sawicki,  Wojciech KubińskiORCID and  Piotr DarnowskiORCID  
Open Access
|Nov 2021

Figures & Tables

Fig. 1

General algorithm of the computational framework.
General algorithm of the computational framework.

Fig. 2

Axial layout of a sample model with boron shields.
Axial layout of a sample model with boron shields.

Fig. 3

Axial layout of a single fuel rod with cross sections. Taken from [1].
Axial layout of a single fuel rod with cross sections. Taken from [1].

Fig. 4

SVR during the simulation.
SVR during the simulation.

Fig. 5

Eigenvalues during the simulation.
Eigenvalues during the simulation.

Fig. 6

Changes in the alignment of boron shields in selected generations.
Changes in the alignment of boron shields in selected generations.

Fig. 7

Maximum fitness function value for each generation.
Maximum fitness function value for each generation.

Fig. 8

The eigenvalue and concentration of selected actinides for the best individual in a generation.
The eigenvalue and concentration of selected actinides for the best individual in a generation.

Fig. 9

Isotope composition vs. generations.
Isotope composition vs. generations.

Plutonium isotope compositions

Pu-238Pu-239Pu-240Pu-241Pu-242
0.4410.3850.1080.0640.002

Selected parameters of the best individual from each generation

Generation ∑if1*106 \sum\limits_i {{f_1}*{{10}^6}} Max(fi) * 106knormalKvoidSVR (pcm)Error (SVR) (pcm)
1609.650.21.003761.02770242212
2681.760.60.997441.02136234812
3692.766.40.997031.02059231612
4782.070.10.995261.01849229212
5795.467.10.997981.02157231412
6989.365.90.996541.02009231712
71048.366.80.997091.02063231412
81059.274.30.995481.01850227012
91088.593.70.992221.01402216712
101177.295.10.993911.01576216412
111331.2101.30.993551.01508213412

Pearson’s linear correlation coefficient values of plutonium isotopes

Pu-238Pu-239Pu-240Pu-241Pu-242
−0.905−0.0900.8830.6290.913
DOI: https://doi.org/10.2478/nuka-2021-0021 | Journal eISSN: 1508-5791 | Journal ISSN: 0029-5922
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Language: English
Page range: 139 - 145
Submitted on: Jan 19, 2021
Accepted on: Apr 21, 2021
Published on: Nov 25, 2021
Published by: Institute of Nuclear Chemistry and Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Genetic algorithms,
Nuclear reactor,
Optimization,
Sodium-cooled fast reactor
Related subjects:
Chemistry,
Nuclear chemistry,
Physics,
Astronomy and astrophysics,
Physics, other

© 2021 Wojciech Żurkowski, Piotr Sawicki, Wojciech Kubiński, Piotr Darnowski, published by Institute of Nuclear Chemistry and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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