摘要详情

ID / 提交时间

6 / 2024-05-13 10:24:31

标题

CURRENT STATUS IN THERMAL-HYDRAULIC RESEARCH OF FUEL ASSEMBLY IRRADIATION DEVICE AND THE POTENTIAL OF APPLYING AI TECHNOLOGY

关键字

Review,High-Flux Research Reactors,Fuel Assembly Irradiation Device,Thermal-Hydraulic Research,AI Technology

主题及专题

TRACK 5: NUCLEAR ENGINEERING

状态

终稿

作者

Liangqian Fu / Harbin Engineering University；Nuclear Power Institute of China

Songbai Cheng / Harbin Engineering University

RuiFeng Tian / Harbin Engineering University

Xufeng He / Harbin Engineering University

摘要

In recent years, many countries have been conducting research and development (R&D) on new-generation nuclear energy systems, which involve the application of new materials and fuels. During the R&D of new nuclear fuels, irradiation testing of the fuel must be carried out to comprehensively evaluate the irradiation resistance, safety, reliability, economy, and advanced nature of the fuel and materials. Building an in-pile test loop for nuclear fuel and nuclear material performance testing in research reactors is a commonly used method internationally. Currently, many research reactors in and out of China are equipped with in-pile high-temperature high-pressure test loop devices. However, due to the unique nature of the irradiation test loop device, it is necessary to study the thermal-hydraulic behavior within the device. Focusing on this aspect, this paper firstly reviews the current research status of high-flux research reactors, irradiation loop devices, and their thermal-hydraulic behavior both domestically and internationally, pointing out the shortcomings in current researches.

On the other hand, the advent of artificial intelligence (AI) technology has presented new opportunities to enhance thermal-hydraulic research. AI Technologies, such as deep learning and reinforcement learning, have the potential to identify patterns in large datasets, predict complex system behaviors, and optimize operational parameters. By leveraging AI technology, researchers can gain a deeper understanding of the thermal-hydraulic phenomena in fuel assembly irradiation facilities and develop more accurate and efficient models. Therefore, this paper, in its second part, also discusses the potential of applying AI Technology to study the thermal-hydraulic characteristics in fuel assembly irradiation facilities. It concludes by outlining the potential research directions using AI in thermal-hydraulic research of fuel assembly irradiation facilities.