{"title":"Target accuracy assessment for China Experimental Fast Reactor based on subspace method","authors":"Yaxin Qiao , Xiaofei Wu , Ping Liu , Haicheng Wu , Huanyu Zhang , Lili Wen , Ying Chen , Yue Xiao","doi":"10.1016/j.anucene.2024.111022","DOIUrl":null,"url":null,"abstract":"<div><div>According to the design uncertainty limit of reactor physics response calculation, target accuracy assessment solves a inequality-nonlinear-constrained optimization problem and provides the priorities of nuclear data uncertainty requirements, which is beneficial to the improvement of safety and economy of nuclear reactors. Due to the ultra-large amount of nuclear data, solving the optimization problem in full-space is improbable. Subspace method could reduce calculation space dimensions effectively and improve the stability of numerical solution, in the meantime the high-dimensional information is mostly retained. Studies on nuclear data target accuracy assessment for the first core of China Experimental Fast Reactor (CEFR) at BOC and EOC based on subspace method shows that, within the 0.3% target accuracy of effective multiplication factor, computational dimension can be reduced from over 1000 to less than 100. The most affected reactions are the scattering and radiation capture of <sup>23</sup>Na, <sup>52</sup>Cr, <sup>56</sup>Fe and <sup>235</sup>U. The results of this paper provide a comparable target accuracy assessment for similar fast reactors utilizing enriched uranium dioxide fuel, and are helpful for communicating across pipeline from evaluator to end user.</div></div>","PeriodicalId":8006,"journal":{"name":"Annals of Nuclear Energy","volume":"212 ","pages":"Article 111022"},"PeriodicalIF":1.9000,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Nuclear Energy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0306454924006856","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NUCLEAR SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
According to the design uncertainty limit of reactor physics response calculation, target accuracy assessment solves a inequality-nonlinear-constrained optimization problem and provides the priorities of nuclear data uncertainty requirements, which is beneficial to the improvement of safety and economy of nuclear reactors. Due to the ultra-large amount of nuclear data, solving the optimization problem in full-space is improbable. Subspace method could reduce calculation space dimensions effectively and improve the stability of numerical solution, in the meantime the high-dimensional information is mostly retained. Studies on nuclear data target accuracy assessment for the first core of China Experimental Fast Reactor (CEFR) at BOC and EOC based on subspace method shows that, within the 0.3% target accuracy of effective multiplication factor, computational dimension can be reduced from over 1000 to less than 100. The most affected reactions are the scattering and radiation capture of 23Na, 52Cr, 56Fe and 235U. The results of this paper provide a comparable target accuracy assessment for similar fast reactors utilizing enriched uranium dioxide fuel, and are helpful for communicating across pipeline from evaluator to end user.
期刊介绍:
Annals of Nuclear Energy provides an international medium for the communication of original research, ideas and developments in all areas of the field of nuclear energy science and technology. Its scope embraces nuclear fuel reserves, fuel cycles and cost, materials, processing, system and component technology (fission only), design and optimization, direct conversion of nuclear energy sources, environmental control, reactor physics, heat transfer and fluid dynamics, structural analysis, fuel management, future developments, nuclear fuel and safety, nuclear aerosol, neutron physics, computer technology (both software and hardware), risk assessment, radioactive waste disposal and reactor thermal hydraulics. Papers submitted to Annals need to demonstrate a clear link to nuclear power generation/nuclear engineering. Papers which deal with pure nuclear physics, pure health physics, imaging, or attenuation and shielding properties of concretes and various geological materials are not within the scope of the journal. Also, papers that deal with policy or economics are not within the scope of the journal.