A Data-Driven Method for Calculating Neutron Flux Distribution Based on Deep Learning and the Discrete Ordinates Method

Author:

Li Yanchao1,Zhang Bin1,Yang Shouhai2,Chen Yixue1

Affiliation:

1. School of Nuclear Science and Engineering, North China Electric Power University, Beijing 102206, China

2. State Key Laboratory of Nuclear Power Safety Technology and Equipment, China Nuclear Power Engineering Co., Ltd., Shenzhen 518172, China

Abstract

The efficient and accurate calculation of neutron flux distribution is essential for evaluating the safety of nuclear facilities and the surrounding environment. While traditional numerical simulation methods such as the discrete ordinates (SN) method and Monte Carlo method have demonstrated excellent performance in terms of accuracy, their complex solving process incurs significant computational costs. This paper explores a data-driven and efficient method for obtaining neutron flux distribution based on deep learning, specifically targeting shielding problems with constant geometry and varying material cross-sections in practical engineering. The proposed method bypasses the intricate numerical transport calculation process of the discrete ordinates method by constructing a surrogate model that captures the correlation between transport characteristics and neutron flux from data characteristics. Simulations were carried out using Kobayashi-1 and Kobayashi-2 geometric models for shielding problems with constant geometry and varying material cross-sections. A series of validations have proved that the data-driven surrogate model demonstrates high generalization ability and reliability, while reducing the time required to obtain neutron flux distribution to 0.1 s without compromising on calculation accuracy compared to the discrete ordinates method.

Publisher

MDPI AG

Reference40 articles.

1. Bell, G.I., and Glasstone, S. (1970). Nuclear Reactor Theory, US Atomic Energy Commission.

2. An Overview of Neutron Transport Problems and Simulation Techniques;Larsen;Comput. Methods Transp.,2004

3. Lewis, E.E., and Miller, W.F. (1993). Computational Methods of Neutron Transport, John Wiley and Sons, Inc.

4. Fast Iterative Methods for Discrete Ordinates Particle Transport Calculations;Adams;Prog. Nucl. Energy,2012

5. GPU Accelerated Simulations of 3D Deterministic Particle Transport Using Discrete Ordinates Method;Gong;J. Comput. Phys.,2011

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