Dynamic scaling characteristics of single-phase natural circulation based on different strain transformations
作者机构:School of Nuclear Science and EngineeringNorth China Electric Power UniversityBeijing 102206China Beijing Key Laboratory of Passive Safety Technology for Nuclear EnergyBeijing 102206China China Institute of Nuclear Industry StrategyBeijingChina Nuclear and Radiation Safety CenterMEEBeijing 100082China Department of Nuclear EngineeringOregon State UniversityCorvallisOR 97331USA
出 版 物:《Nuclear Science and Techniques》 (核技术(英文))
年 卷 期:2023年第34卷第9期
页 面:128-141页
核心收录:
学科分类:080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学]
主 题:Dynamical system scaling analysis β-strain transformation ω-strain transformation Natural circulation
摘 要:To understand the dynamical system scaling(DSS)analysis theory,the applicability of DSSβ-andω-strain transformation methods for the scaling analysis of complex loops was explored.A simplified model consisting of two loops was established based on the primary and secondary sides of a nuclear reactor,andβ-andω-strain transformation methods were used to ana-lyze the single-phase natural circulation in the primary *** comparison with the traditional method,simplified DSSβ-andω-strain methods were developed based on the standard scaling *** strain parameters in these four methods were modified to form multiple groups of scaled-down *** transient process of the natural circulation was simulated using the Relap5 code,and the variation in the dynamic flow characteristics with the strain numbers was obtained using different scaling *** results show that both the simplified and standard DSS methods can simulate the dynamic characteristics of natural circulation in the primary *** scaled-down cases in the simplified method exhibit the same geometric scaling and correspond to small core power *** contrast,different scaled-down cases in the standard DSS method correspond to different geometric scaling criteria and require more *** dynamic process of natural circula-tion can be simulated more accurately using the standard DSS method.