Presentation Details
FLOW DISTRIBUTION PREDICTION MODEL OF ANNULAR FUEL BASED ON GA-BP NEURAL NETWORK
ID：38
View Protection：ATTENDEE
Updated Time：2024-09-05 21:08:14 Hits：280
Oral Presentation
Start Time：Pending（Asia/Shanghai）
Duration：Pending
Session：No Session »
Abstract
Annular fuel has dual coolant channels, which have the potential to increase the reactor power density while improving the safety margin. The coolant flow distribution between the inner and outer channels directly affects the heat transfer efficiency of the fuel channel. Regarding the measurement of flow distribution ratio (outer channel flux to total flux) is challenging, the development of calculation model is essential for acquiring flow distribution characteristics of annular fuel. In this study, a 5×5 annular fuel assembly was modeled based on computational fluid dynamics. The flow distribution ratio and pressure drop ratio were calculated under steady state, pulsating flow and rolling motion conditions, respectively. A flow distribution prediction model is established based on the GA-BP neural network with simulated data. The prediction results are consistent with that of the experiment, with an overall error of 2%.
Keywords
GA-BP Neural Network,Flow Distribution,Annular Fuel
Speaker
Yu Zou
PhD Candidate Harbin Engineering UniversitySubmission Author
All Comments
Important Date
-
Conference Date
Sep 23
2024
toSep 25
2024
-
Sep 24 2024
Contribution Submission Deadline
-
Sep 25 2024
Registration deadline
Sponsored By
Harbin Engineering University (HEU)
Contact Information
- Prof. WANG Xiang
- xi******@hrbeu.edu.cn
Previous Conferences
-
2016-09-26 China Chengdu,China
8th International Symposium on Symbiotic Nuclear Power Systems for 21st Century -
2016-09-26 China Chengdu,China
8th International Symposium on Symbiotic Nuclear Power Systems for 21st Century -
2010-08-23 China 哈尔滨市
The 3rd International Symposium on Symbiotic Nuclear Power Systems for 21st Century (ISSNP2010)
Submit Comment