检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:龚禾林 刘威震 吴屈 李庆[3] 李天涯[3] 廖鸿宽 钟旻霄 王江宇 赵文博[3] 张世全[2] 陈长[3] GONG Hein;LIU Weizhen;WU Qu;LI Qing;LI Tianya;LIAO Hongkuan;ZHONG Minxiao;WANG Jiangyu;ZHAO Wenbo;ZHANG Shiquan;CHEN Zhang(Paris Elite Institute of Technology,Shanghai Jiao Tong University,Shanghai 200240;School of Mathematics,Sichuan University,Chengdu 610064,Sichuan;Science and Technology on Reactor System Design Technology Laboratory,Nuclear Power Institute of China,Chengdu 610041,Sichuan)
机构地区:[1]上海交通大学巴黎卓越工程师学院,上海200240 [2]四川大学数学学院,四川成都610064 [3]中国核动力研究设计院核反应堆系统设计技术重点实验室,四川成都610041
出 处:《火箭军工程大学学报》2024年第2期57-71,共15页Journal of Rocket Force University of Engineering
基 金:上海市自然科学基金面上项目(23ZR1429300);国家自然科学基金面上项目(12175220);中核集团领创科研项目(CNNC-LCKY-202234);国防科技工业核动力技术创新中心项目(HDLCXZX-2023-HD-039-02)。
摘 要:为了更全面深刻地认识用于核反应堆物理计算中的数据同化理论,介绍了数据同化在反应堆物理领域的两大应用方向,即最佳参数估计和物理场重构。详细分析了基于模型降阶的数据同化理论,包括模型降阶理论基础和基于本征正交分解的模型降阶;分别介绍了广义经验插值法和稳定格式本征正交分解,并给出了部分数值结果。讨论了反应堆物理领域中开展不确定度分析和量化的相关工作进展。此外,为了进一步确保数据同化结果的精度和可靠性,强调了不确定度分析的重要性并对其进行介绍。分析表明:基于模型降阶的数据同化方法具有计算效率高、精度高的优点,是核工程领域数据同化的新兴发展方向。To have a stronger appreciation of the data assimilation used in nuclear reactor physics,the optimal parameter estimation and physical field reconstruction,the two main applica-tions in reactor physics,were introduced firstly.Then,the model order reduction-based data as-similation theory,including the theoretical basis of model order reduction and the model order re-duction based on proper orthogonal decomposition,were analyzed.Furthermore,the generalized empirical interpolation method and the stabilized proper orthogonal decomposition,as well as nu-merical results were presented.Accordingly,the progress of uncertainty analysis and quantifica-tion in reactor nuclear reactor physics were discussed.Additionlly,the importance of uncertainty analysis was emphasized and introduced to ensure the accuracy and reliability of the data assimila-tion results.Analysis showed that the data assimilation method based on model order reduction has the advantages of high computational efficiency and accuracy,and represents an emerging di-rec-tion in data assimilation in the field of nuclear engineering.
分 类 号:TL329.2[核科学技术—核技术及应用]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.49