Abstract Details
80 / 2024-07-25 01:10:49
Development of Artificial Neural Network Based Neutron Diffusion Equation Solver
Neutron Diffusion Equation, Nodal Expansion Method, Artificial Neural Network
Abstract Accepted
This study presents Artificial Neural Network (ANN) based model to solve the 3-dimensional, multi-group Neutron Diffusion Equation (NDE). In this approach rigorous mathematical equations of Nodal Expansion Method (NEM) are used for developing the training dataset for the ANN model, which approximates the neutron flux through a 4th-order polynomial expansion. This approach differs from traditional methods, as ANN significantly reduces computational costs. It has been tested against 3D steady-state IAEA and 3D steady-state TWIGL benchmarks and the results show reasonable agreement with the reported results. However, the applicability of trained ANN models was also observed when the problem is significantly different from the trained data problems and hence limits its wider application for core calculations.
Important Date
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Conference Date
Sep 23
2024
toSep 25
2024
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Sep 24 2024
Contribution Submission Deadline
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Sep 25 2024
Registration deadline
Sponsored By
Harbin Engineering University (HEU)
Contact Information
- Prof. WANG Xiang
- xi******@hrbeu.edu.cn
Previous Conferences
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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)
