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全统计法DNBR限值设计的统计处理改进研究

Improvement on statistical method for DNBR limit design
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摘要 为了分析不同统计处理方法在释放核电厂热工水力设计裕量方面的差异,在全统计法蒙特卡罗正态分布模拟计算的基础上,分别采用改进的卡方分布参数法和非参数自助法进行偏离泡核沸腾比(DNBR)限值的设计,并对结果进行了对比分析。研究表明:卡方分布参数法和非参数自助法有较好的准确性和收敛性,两种改进后的方法得到的DNBR限值相近,且能够获得更大的设计裕量。 In order to analyze the potential safety margin released by different statistical methods for the design of nuclear power plant thermal-hydraulic,two new statistic methods based on the Monte Carlo method plus goodness-of-fit test are studied,including the χ^2 distribution-parameter statistic method and the non-parameter Bootstrap method.The results show that χ^2 distribution-parameter statistic method and non-parameter Bootstrap method have excellent convergence and accuracy,and can obtain a more realistic DNBR(departure from nucleate boiling ratio)design limit and a safety design margin.
作者 王琮 于雷 李伟通 沙正峰 WANG Cong;YU Lei;LI Wei-tong;SHA Zheng-feng(College of Nuclear Science and Technology,Naval Univ.of Engineering,Wuhan 430033,China;Wuhan Second Ship Design and Research Institute,Wuhan 430064,China;College of Electronic Engineering,Naval Univ.of Engineering,Wuhan 430033,China)
出处 《海军工程大学学报》 CAS 北大核心 2020年第4期18-21,共4页 Journal of Naval University of Engineering
基金 国家重点研发计划资助项目(2017YFC0307800/06)。
关键词 全统计法 偏离泡核沸腾比 卡方分布参数统计法 非参数自助法 generalized statistical method departure from nucleate boiling ratio χ2 distribution-parameters statistic method bootstrap method
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