摘要
临界热流密度对反应堆安全起着至关重要的作用,通过对温升速率进行观察可以有效判断临界热流密度的发生。应用Haar小波函数对自然循环条件下窄通道内的临界热流密度实验温升数据进行分析,通过对温度信号的分解及重构,认为小波分析的结论与通过试验获得的温升数据结果符合性较好,能够准确判断临界热流密度的发生位置和时刻。
Critical heat flux(CHF) plays an important role in reactor safety, and observing temperature rising rate can effectively judge the occurrence of CHF. Haar Wavelet function is used to analyze the temperature rise curve data of CHF experiment in natural circulation narrow channel. Through the decomposition and reconstruction of the temperature signal, it is found that the conclusion of wavelet analysis is in good agreement with the analysis results of temperature rise data obtained by the experiment, and the location and time of CHF can be accurately judged.
作者
盛程
王韵婷
SHENG Cheng;WANG Yunting(Shanghai Power Equipment Research Institute Co.,Ltd.,Shanghai 200240,China;Institute of Nuclear Thermal-hydraulic Safety and Standardization,North China Electric Power University,Beijing 102206,China;Shanghai Electric Gas Turbine Co.,Ltd.,Shanghai 200240,China)
出处
《内蒙古电力技术》
2022年第1期88-91,共4页
Inner Mongolia Electric Power
基金
国家自然科学基金项目“窄矩形通道内自然循环ONB点发生机理研究”(50976033)。
关键词
自然循环
临界热流密度
小波分析
窄通道
natural circulation
critical heat flux
wavelet analysis
narrow channel
