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Development of Artificial Neural Network Based Neutron Diffusion Equation Solver
编号：9 访问权限：仅限参会人 更新：2024-09-05 09:34:20 浏览：75次 口头报告

报告开始：暂无开始时间（Asia/Shanghai）

报告时间：暂无持续时间

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摘要

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.
 
关键词
Neutron Diffusion Equation, Nodal Expansion Method, Artificial Neural Network
报告人
Ali Waqas
Student PIEAS

稿件作者
HASEEB UR REHMAN Pakistan Institute of Engineering and Applied Sciences
Usman Khalid PIEAS
Farhana Kausar PAEC
Masroor Ahmad PIEAS
Ali Waqas PIEAS
Aman ur Rehman PIEAS
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重要日期

  • 会议日期

    09月23日

    2024

    至

    09月25日

    2024

  • 09月24日 2024

    报告提交截止日期

  • 09月25日 2024

    注册截止日期

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Harbin Engineering University (HEU)
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