利用微分进化算法优化 Apsara-U 研究堆堆芯装载量

IF 1.9 3区 工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY
Y.S. Rana, Tej Singh
{"title":"利用微分进化算法优化 Apsara-U 研究堆堆芯装载量","authors":"Y.S. Rana,&nbsp;Tej Singh","doi":"10.1016/j.nucengdes.2025.113980","DOIUrl":null,"url":null,"abstract":"<div><div>A discrete differential evolution algorithm (DE) has been applied for optimizing core loading of Apsara-U research reactor. The objective is to maximize the core excess reactivity by restricting the maximum power of a fuel assembly to 173 kW. First, calculations were performed to verify the optimum values of mutation scale factor and crossover rate given in the literature. Subsequently, DE search was performed up to 500 generations with the population size of 10. It is found that the reactivity reaches its maximum value after 350 generations. The results show that, for a given core configuration, it is possible to obtain loading patterns which provide higher reactivity gain compared to the implemented pattern.</div></div>","PeriodicalId":19170,"journal":{"name":"Nuclear Engineering and Design","volume":"436 ","pages":"Article 113980"},"PeriodicalIF":1.9000,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Core loading optimization of Apsara-U research reactor using differential evolution algorithm\",\"authors\":\"Y.S. Rana,&nbsp;Tej Singh\",\"doi\":\"10.1016/j.nucengdes.2025.113980\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>A discrete differential evolution algorithm (DE) has been applied for optimizing core loading of Apsara-U research reactor. The objective is to maximize the core excess reactivity by restricting the maximum power of a fuel assembly to 173 kW. First, calculations were performed to verify the optimum values of mutation scale factor and crossover rate given in the literature. Subsequently, DE search was performed up to 500 generations with the population size of 10. It is found that the reactivity reaches its maximum value after 350 generations. The results show that, for a given core configuration, it is possible to obtain loading patterns which provide higher reactivity gain compared to the implemented pattern.</div></div>\",\"PeriodicalId\":19170,\"journal\":{\"name\":\"Nuclear Engineering and Design\",\"volume\":\"436 \",\"pages\":\"Article 113980\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2025-03-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nuclear Engineering and Design\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0029549325001578\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nuclear Engineering and Design","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0029549325001578","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

摘要

将离散微分进化算法(DE)应用于Apsara-U研究堆堆芯负荷优化。目标是通过将燃料组件的最大功率限制在173千瓦来最大化堆芯的过度反应性。首先,计算验证了文献中给出的突变尺度因子和交叉率的最优值。随后,在种群规模为10的情况下,进行了500代的DE搜索。发现反应性在350代后达到最大值。结果表明,对于给定的核心配置,与实现的模式相比,可以获得提供更高反应性增益的加载模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Core loading optimization of Apsara-U research reactor using differential evolution algorithm
A discrete differential evolution algorithm (DE) has been applied for optimizing core loading of Apsara-U research reactor. The objective is to maximize the core excess reactivity by restricting the maximum power of a fuel assembly to 173 kW. First, calculations were performed to verify the optimum values of mutation scale factor and crossover rate given in the literature. Subsequently, DE search was performed up to 500 generations with the population size of 10. It is found that the reactivity reaches its maximum value after 350 generations. The results show that, for a given core configuration, it is possible to obtain loading patterns which provide higher reactivity gain compared to the implemented pattern.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Nuclear Engineering and Design
Nuclear Engineering and Design 工程技术-核科学技术
CiteScore
3.40
自引率
11.80%
发文量
377
审稿时长
5 months
期刊介绍: Nuclear Engineering and Design covers the wide range of disciplines involved in the engineering, design, safety and construction of nuclear fission reactors. The Editors welcome papers both on applied and innovative aspects and developments in nuclear science and technology. Fundamentals of Reactor Design include: • Thermal-Hydraulics and Core Physics • Safety Analysis, Risk Assessment (PSA) • Structural and Mechanical Engineering • Materials Science • Fuel Behavior and Design • Structural Plant Design • Engineering of Reactor Components • Experiments Aspects beyond fundamentals of Reactor Design covered: • Accident Mitigation Measures • Reactor Control Systems • Licensing Issues • Safeguard Engineering • Economy of Plants • Reprocessing / Waste Disposal • Applications of Nuclear Energy • Maintenance • Decommissioning Papers on new reactor ideas and developments (Generation IV reactors) such as inherently safe modular HTRs, High Performance LWRs/HWRs and LMFBs/GFR will be considered; Actinide Burners, Accelerator Driven Systems, Energy Amplifiers and other special designs of power and research reactors and their applications are also encouraged.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信