Genetic algorithm based temperature control of the dense granular spallation target in China initiative accelerator driven system-Reference-Cited by-同舟云学术

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Genetic algorithm based temperature control of the dense granular spallation target in China initiative accelerator driven system

Published:2021-05 Issue: Volume:154 Page:108127
ISSN:0306-4549
Container-title:Annals of Nuclear Energy
language:en
Short-container-title:Annals of Nuclear Energy

Author:

Li Jin-Yang,Dai Yong,Gu Long,Zhang You-Peng,He Zhi-Yong,Xu Hu-Shan,Yao Cun-Feng,Yu Rui,Zhang Lu,Wang Da-Wei

Funder

Chinese Academy of Sciences

Publisher

Elsevier BV

Subject

Nuclear Energy and Engineering

Reference21 articles.

1. Welding of 316L austenitic stainless steel with activated tungsten inert gas process;Ahmadi;J. Mater. Eng. Perform,2015

2. The FLUKA code: an overview;Ballarini;J. Phys. Conf. Ser.,2006

3. Overview on spallation target design concepts and related materials issues;Bauer;J. Nucl. Mater.,2010

4. MEGAPIE, a 1 MW pilot experiment for a liquid metal spallation target;Bauer;J. Nucl. Mater.,2001

5. Temperature control for spallation target in accelerator driven system;Cui;Nucl. Instrum. Methods Phys. Res., Sect. B,2019

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2. The optimization study of core power control based on meta-heuristic algorithm for China initiative accelerator driven subcritical system;Nuclear Engineering and Technology;2023-02

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5. Latest research progress for LBE coolant reactor of China initiative accelerator driven system project;Frontiers in Energy;2021-07-25

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