模糊数学在自然循环欠热沸腾起始点研究中的应用  

Fuzzy mathematics analysis of ONB for natural circulation subcooled boiling

作　　者：周涛[1] 杨瑞昌[1] 

机构地区：[1]清华大学热能工程系,北京100084

出　　处：《清华大学学报（自然科学版）》2005年第11期1557-1560,共4页Journal of Tsinghua University(Science and Technology)

基　　金：中国博士后基金资助项目(2003034126)

摘　　要：运用模糊数学的聚类分析法,对自然循环欠热沸腾起始点的实验和计算数据准确性进行考核,以选择同类准确数据,并判定公式的计算准确率。通过隶属度的确定和模糊的判决方法运算,分析自然循环欠热沸腾起始点的实验误差,以便对实验公式的修正系数做出合理准确的判定,取得置信度较高的结果。结果表明,模糊数学的应用使自然循环欠热沸腾起始点分析得到一种符合实际和较为准确的描述,该方法是一种有前途的可开发数学方法。The veracity of experimental and analytical data for the onset of nucleate boiling （ONB） with subcooled boiling in natural circulation was examined using the clustering method of fuzzy mathematics to select the most accurate data. The experimental errors of the ONB data with subcooled boiling in natural circulation were analyzed using membership degree determination and fuzzy judgements to select the coefficients of the experimental formula with a high degree of confidence. The results indicate that the fuzzy mathematics method can be used to more accurately analyze ONB data for subcooled boiling in natural circulation.

关 键 词：反应堆安全 模糊数学 聚类分析法 自然循环 欠热沸腾起始点 

分 类 号：TL364[核科学技术—核技术及应用]