Application of genetic algorithms in optimization of SFR nuclear reactor design

Wojciech Żurkowski; Piotr Sawicki; Wojciech Kubiński; Piotr Darnowski

doi:10.2478/nuka-2021-0021

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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 Kubiński and Piotr Darnowski

Open Access

|Nov 2021

Figures & Tables

General algorithm of the computational framework.

Axial layout of a sample model with boron shields.

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

Table 1

Selected parameters of the best individual from each generation

Generation	$\sum_{i} f_{1} * 10^{6}$	Max(f_i) * 10⁶	k_normal	K_void	SVR (pcm)	Error (SVR) (pcm)
1	609.6	50.2	1.00376	1.02770	2422	12
2	681.7	60.6	0.99744	1.02136	2348	12
3	692.7	66.4	0.99703	1.02059	2316	12
4	782.0	70.1	0.99526	1.01849	2292	12
5	795.4	67.1	0.99798	1.02157	2314	12
6	989.3	65.9	0.99654	1.02009	2317	12
7	1048.3	66.8	0.99709	1.02063	2314	12
8	1059.2	74.3	0.99548	1.01850	2270	12
9	1088.5	93.7	0.99222	1.01402	2167	12
10	1177.2	95.1	0.99391	1.01576	2164	12
11	1331.2	101.3	0.99355	1.01508	2134	12

Changes in the alignment of boron shields in selected generations.

Maximum fitness function value for each generation.

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

Table 2

Plutonium isotope compositions

Pu-238	Pu-239	Pu-240	Pu-241	Pu-242
0.441	0.385	0.108	0.064	0.002

Table 3

Pearson’s linear correlation coefficient values of plutonium isotopes

Pu-238	Pu-239	Pu-240	Pu-241	Pu-242
−0.905	−0.090	0.883	0.629	0.913

References

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Articles in this issue

DOI: https://doi.org/10.2478/nuka-2021-0021 | Journal eISSN: 1508-5791 (formerly 0029-5922) | 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

Keywords:

Genetic algorithms,

Nuclear reactor,

Optimization,

Sodium-cooled fast reactor

Related subjects:

Chemistry,

Nuclear chemistry

© 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.

Volume 66 (2021): Issue 4 (December 2021)

Application of genetic algorithms in optimization of SFR nuclear reactor design

Figures & Tables

Fig. 1

Fig. 2

Fig. 3

Table 1

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Fig. 8

Fig. 9

Table 2

Table 3

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