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TEMPERATURE FLIED RAPID ESTIMATION OF SPACE NUCLEAR THERMIONIC REACTOR BASED ON REDUCED-ORDER MODEL

  • Xi'an Jiaotong University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In order to overcome the shortcomings of Computational Fluid Dynamics (CFD), which needs to consume a lot of computational resources and time to obtain the flow field information. In this paper, a non-intrusive reduced-order model was developed based on the POD an BP neural network. Then the established ROM was applied in the temperature filed rapid estimation of the space thermionic reactor, TOPAZ-II. ANSYS Fluent are used to obtain the data snapshot samples of the temperature field of TOPAZ-II. Under the new operating conditions, the temperature field was rapidly reconstructed by training-completed ROM. The ROM was validated by comparing the ROM results with Fluent results. The maximum absolute error of temperature is 0.2 K with speed-up on the order 4.8 × 103. Therefore, the methodology in this paper provides a reference for real-time monitoring of the thermionic reactor operation in orbit.

源语言英语
主期刊名Thermal-Hydraulics and Safety Analysis
出版商American Society of Mechanical Engineers (ASME)
ISBN(电子版)9780791888261
DOI
出版状态已出版 - 2024
活动2024 31st International Conference on Nuclear Engineering, ICONE 2024 - Prague, 捷克共和国
期限: 4 8月 20248 8月 2024

出版系列

姓名Proceedings of 2024 31st International Conference on Nuclear Engineering, ICONE 2024
6

会议

会议2024 31st International Conference on Nuclear Engineering, ICONE 2024
国家/地区捷克共和国
Prague
时期4/08/248/08/24

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