Shape Reconstruction of Deposits Inside a Steam Generator using Eddy Current Measurements

Hugo Girardon
{"title":"Shape Reconstruction of Deposits Inside a Steam Generator using Eddy Current Measurements","authors":"Hugo Girardon","doi":"10.1109/CAMA47423.2019.8959709","DOIUrl":null,"url":null,"abstract":"Non-destructive testing is an essential tool to assess the safety of the facilities within nuclear plants. In particular, conductive deposits on U-tubes in steam generators constitute a major danger as they may block the cooling loop. To detect these deposits, eddy-current probes are introduced inside the U-tubes to generate currents and measuring back an impedance signal. Based on the work of [9], we develop a shape optimization technique with regularized gradient descent to invert these measurements and recover the deposit shape. To deal with the unknown, and possibly complex, topological nature of the latter, we propose to model it using a level set function as introduced in [8] and applied in [2] to shape optimization problems. The methodology is first validated on synthetic axisymmetric configurations and fast convergence is ensured by careful adaptation of the gradient steps and regularization parameters. Using the actual domain, from which the acquisitions are made, we then consider a more realistic modeling that incorporates the support plate and the presence of imperfections on the tube interior section. We employ in particular an asymptotic model to take into account these imperfections and treat them as additional unknowns in our inverse problem. A multi-objective optimization strategy, based on the use of different operating frequencies, is then developed to solve this problem. We shall present various numerical examples with synthetic data showing the viability of our approach.","PeriodicalId":170627,"journal":{"name":"2019 IEEE Conference on Antenna Measurements & Applications (CAMA)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Conference on Antenna Measurements & Applications (CAMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAMA47423.2019.8959709","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Non-destructive testing is an essential tool to assess the safety of the facilities within nuclear plants. In particular, conductive deposits on U-tubes in steam generators constitute a major danger as they may block the cooling loop. To detect these deposits, eddy-current probes are introduced inside the U-tubes to generate currents and measuring back an impedance signal. Based on the work of [9], we develop a shape optimization technique with regularized gradient descent to invert these measurements and recover the deposit shape. To deal with the unknown, and possibly complex, topological nature of the latter, we propose to model it using a level set function as introduced in [8] and applied in [2] to shape optimization problems. The methodology is first validated on synthetic axisymmetric configurations and fast convergence is ensured by careful adaptation of the gradient steps and regularization parameters. Using the actual domain, from which the acquisitions are made, we then consider a more realistic modeling that incorporates the support plate and the presence of imperfections on the tube interior section. We employ in particular an asymptotic model to take into account these imperfections and treat them as additional unknowns in our inverse problem. A multi-objective optimization strategy, based on the use of different operating frequencies, is then developed to solve this problem. We shall present various numerical examples with synthetic data showing the viability of our approach.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用涡流测量对蒸汽发生器内部沉积物进行形状重建
无损检测是评价核电站内设施安全性的重要手段。特别是,蒸汽发生器u型管上的导电沉积物构成主要危险,因为它们可能阻塞冷却回路。为了检测这些沉积物,在u型管中引入涡流探头来产生电流并测量回阻抗信号。基于[9]的工作,我们开发了一种正则化梯度下降的形状优化技术来反演这些测量并恢复矿床形状。为了处理后者的未知且可能复杂的拓扑性质,我们建议使用[8]中引入的水平集函数对其建模,并在[2]中应用于形状优化问题。首先在合成轴对称构型上对该方法进行了验证,并通过对梯度步长和正则化参数的精心调整保证了该方法的快速收敛。使用实际域,从中获取,然后我们考虑一个更现实的建模,包括支撑板和管内部部分存在的缺陷。我们特别采用一个渐近模型来考虑这些缺陷,并将它们视为反问题中的附加未知数。针对这一问题,提出了一种基于不同工作频率的多目标优化策略。我们将用综合数据提出各种数值例子,以表明我们的方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Study of Parasitic Element Effects of Multiband IFA for UHF and SHF Channel Systems Particle Filter Track-Before-Detect for Target Detection and Tracking from Marine Radar Data Development of Microwave Tomography System Based on Arduino NANO and PocketVNA Impact of Terminal Polarization in a Urban Channel for LP-WAN Application Ultra Low Profile Inverted L Antenna Composed of CPW Printed on PET Sheet for IoT Application
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1