Application of Artificial Intelligence in Thermal Hydraulic Prediction of Nuclear Reactors

With the rapid development of space exploration, the research of high-power, safe, and reliable space nuclear reactor power supply will become increasingly important. In this paper, the thermal-hydraulic prediction method based on Elman neural network is firstly presented, including its basic principle, data preprocessing method and its application in complex phenomena such as flow boiling. The optimization of system safety analysis program is further discussed, including the coupling of artificial intelligence algorithm and system analysis program, intelligent calibration technology and dynamic data assimilation method. Finally, the system design and test results of the intelligent thermal-hydraulic monitoring system are demonstrated through engineering application verification, which proves its effectiveness in real-time monitoring, intelligent early warning, and remote control. The research shows that artificial intelligence technology can significantly improve the accuracy and efficiency of thermal hydraulic analysis of nuclear reactors, and provide strong support for the safe operation of nuclear reactors.