Radiation shielding optimization of space reactor based on intelligent decision support system
BackgroundThe mass of a space nuclear power system is a critical parameter due to limitation of loading and high cost of transportation. The radiation shielding system is one of the main contributions of the self-weight of the space nuclear power system.PurposeThis study aims at the shielding optimi...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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Science Press
2022-05-01
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| Series: | He jishu |
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| Online Access: | https://www.hjs.sinap.ac.cn/thesisDetails#10.11889/j.0253-3219.2022.hjs.45.050601&lang=zh |
| _version_ | 1811169650461900800 |
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| author | HE Can QIU Xiaoping SUN Zheng SHAO Jing CHEN Zhenping ZHAO Pengcheng |
| author_facet | HE Can QIU Xiaoping SUN Zheng SHAO Jing CHEN Zhenping ZHAO Pengcheng |
| author_sort | HE Can |
| collection | DOAJ |
| description | BackgroundThe mass of a space nuclear power system is a critical parameter due to limitation of loading and high cost of transportation. The radiation shielding system is one of the main contributions of the self-weight of the space nuclear power system.PurposeThis study aims at the shielding optimization problem for the mass minimization of space nuclear power system.MethodsFirstly, the calculation model for the Topaz-II space stack was established and the shielding material was selected. Secondly, a masked multi-objective optimization model was built on the base of Non-dominated Sorting Genetic Algorithm-II (NSGA-II) to obtain an optimization scheme. Then, an intelligent decision support system for the shielding scheme to improve the optimization efficiency was established by coupling the BP neural network algorithm. Finally, the adjustment plan was obtained according to the intelligent decision support system, and verified by using Topaz-II space reactor model.ResultsVerification results show that the intelligent decision support system can be used to set up a basic theoretical model according to the actual needs of the project, and finally provide a space stack shielding scheme that meets the engineering needs.ConclusionsThe validity and feasibility of the method in this paper are proved, providing theoretical and technical support for the optimization of radiation shielding of space reactors. |
| first_indexed | 2024-04-10T16:45:43Z |
| format | Article |
| id | doaj.art-a87bac266d9e4e84bb6baff97e8c8b8e |
| institution | Directory Open Access Journal |
| issn | 0253-3219 |
| language | zho |
| last_indexed | 2024-04-10T16:45:43Z |
| publishDate | 2022-05-01 |
| publisher | Science Press |
| record_format | Article |
| series | He jishu |
| spelling | doaj.art-a87bac266d9e4e84bb6baff97e8c8b8e2023-02-08T00:53:34ZzhoScience PressHe jishu0253-32192022-05-01455657510.11889/j.0253-3219.2022.hjs.45.0506010253-3219（2022）05-0065-11Radiation shielding optimization of space reactor based on intelligent decision support systemHE Can0QIU Xiaoping1SUN Zheng2SHAO Jing3CHEN Zhenping4ZHAO Pengcheng5School of Nuclear Science and Technology, University of South China, Hengyang 421001, ChinaSchool of Nuclear Science and Technology, University of South China, Hengyang 421001, ChinaChina Institute of Atomic Energy, Beijing 102413, ChinaChina Institute of Atomic Energy, Beijing 102413, ChinaSchool of Nuclear Science and Technology, University of South China, Hengyang 421001, ChinaSchool of Nuclear Science and Technology, University of South China, Hengyang 421001, ChinaBackgroundThe mass of a space nuclear power system is a critical parameter due to limitation of loading and high cost of transportation. The radiation shielding system is one of the main contributions of the self-weight of the space nuclear power system.PurposeThis study aims at the shielding optimization problem for the mass minimization of space nuclear power system.MethodsFirstly, the calculation model for the Topaz-II space stack was established and the shielding material was selected. Secondly, a masked multi-objective optimization model was built on the base of Non-dominated Sorting Genetic Algorithm-II (NSGA-II) to obtain an optimization scheme. Then, an intelligent decision support system for the shielding scheme to improve the optimization efficiency was established by coupling the BP neural network algorithm. Finally, the adjustment plan was obtained according to the intelligent decision support system, and verified by using Topaz-II space reactor model.ResultsVerification results show that the intelligent decision support system can be used to set up a basic theoretical model according to the actual needs of the project, and finally provide a space stack shielding scheme that meets the engineering needs.ConclusionsThe validity and feasibility of the method in this paper are proved, providing theoretical and technical support for the optimization of radiation shielding of space reactors.https://www.hjs.sinap.ac.cn/thesisDetails#10.11889/j.0253-3219.2022.hjs.45.050601&lang=zhintelligent decisiongenetic algorithmbp neural networkshield optimization |
| spellingShingle | HE Can QIU Xiaoping SUN Zheng SHAO Jing CHEN Zhenping ZHAO Pengcheng Radiation shielding optimization of space reactor based on intelligent decision support system He jishu intelligent decision genetic algorithm bp neural network shield optimization |
| title | Radiation shielding optimization of space reactor based on intelligent decision support system |
| title_full | Radiation shielding optimization of space reactor based on intelligent decision support system |
| title_fullStr | Radiation shielding optimization of space reactor based on intelligent decision support system |
| title_full_unstemmed | Radiation shielding optimization of space reactor based on intelligent decision support system |
| title_short | Radiation shielding optimization of space reactor based on intelligent decision support system |
| title_sort | radiation shielding optimization of space reactor based on intelligent decision support system |
| topic | intelligent decision genetic algorithm bp neural network shield optimization |
| url | https://www.hjs.sinap.ac.cn/thesisDetails#10.11889/j.0253-3219.2022.hjs.45.050601&lang=zh |
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