期刊论文

Yu, Tao

英文

Annals of Nuclear Energy

0306-4549

2019

134

318-329

10.1016/j.anucene.2019.06.031

This work was supported in part by the National Natural Science Foundation of China (grant numbers 11605085 , 11705084 ), the Natural Science Foundation of Hunan Province (grant number 2018JJ4033 ), the project of Hunan Province Engineering Research Center of Radioactive Control Technology in Uranium Mining and Metallurgy and Hunan Province Engineering Technology Research Center of Uranium Tailings Treatment Technology (grant number 2019YKZX1011 ), and the Project of Innovation Center for Nuclear-Powered Technology (grant number HDLCXZX-2019-HD-34 ). The authors would like to show their appreciations to NEAL (Nuclear Engineering and Application Laboratory) Team for its support and contribution to this research.

本校为第一且通讯机构

Obtaining an optimal shielding design is significant in developing of high-performance compact nuclear reactors. The traditional shielding design is a brute force trial-and-error method, which is a manually iterative procedure driven by human experiences. Thus, the shield solution achieved with traditional method is just an empirical one but not an optimal shield solution, which may degrade the overall operational performance of the nuclear-powered systems. To design optimal shields for compact reactors, a metaheuristic optimization method for ...