An hp finite element a posteriori analysis of a non-standard eigenvalue problem arising in fluid-solid vibrations on curved domains

IF 2.5 2区 数学 Q1 MATHEMATICS, APPLIED Computers & Mathematics with Applications Pub Date : 2025-04-15 Epub Date: 2025-02-20 DOI:10.1016/j.camwa.2025.02.010
María Gabriela Armentano , Claudio Padra , Mario Scheble
{"title":"An hp finite element a posteriori analysis of a non-standard eigenvalue problem arising in fluid-solid vibrations on curved domains","authors":"María Gabriela Armentano ,&nbsp;Claudio Padra ,&nbsp;Mario Scheble","doi":"10.1016/j.camwa.2025.02.010","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper we introduce and analyze an <em>hp</em> finite element method to solve a non-standard spectral problem in a curved plane domain using curved elements. This problem arises from nuclear engineering: the vibration of elastically mounted tubes immersed in a cavity filled with fluid. The eigenvalue problem is presented in a proper setting and we prove, under appropriate assumptions about the curved domain, the convergence of the method and a priori error estimates for the eigenfunctions and the eigenvalues. We define an efficiency and reliability a posteriori error indicator of the residual type up to higher order terms. We analyze in detail the symmetric case, and we propose and efficient approach which allows us simplify the eigenvalue problem and solve efficiently the case of multiples eigenvalues. Finally, we present an <em>hp</em> adaptive algorithm and some numerical tests which show the performance of the scheme, including evidence of exponential convergence.</div></div>","PeriodicalId":55218,"journal":{"name":"Computers & Mathematics with Applications","volume":"184 ","pages":"Pages 65-85"},"PeriodicalIF":2.5000,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Mathematics with Applications","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S089812212500063X","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/20 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0

Abstract

In this paper we introduce and analyze an hp finite element method to solve a non-standard spectral problem in a curved plane domain using curved elements. This problem arises from nuclear engineering: the vibration of elastically mounted tubes immersed in a cavity filled with fluid. The eigenvalue problem is presented in a proper setting and we prove, under appropriate assumptions about the curved domain, the convergence of the method and a priori error estimates for the eigenfunctions and the eigenvalues. We define an efficiency and reliability a posteriori error indicator of the residual type up to higher order terms. We analyze in detail the symmetric case, and we propose and efficient approach which allows us simplify the eigenvalue problem and solve efficiently the case of multiples eigenvalues. Finally, we present an hp adaptive algorithm and some numerical tests which show the performance of the scheme, including evidence of exponential convergence.
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
用hp有限元法对曲面上流固振动的非标准特征值问题进行了后验分析
本文介绍并分析了一种利用曲面元求解曲面域非标准谱问题的hp有限元方法。这个问题出现在核工程中:弹性安装的管子浸入充满流体的腔体中的振动。在适当的条件下给出了本征值问题,并证明了该方法的收敛性和本征函数和本征值的先验误差估计。我们定义了一个效率和可靠性的残差型后验误差指标,直到高阶项。对对称情况进行了详细的分析,提出了一种简化特征值问题的有效方法,有效地解决了多特征值情况。最后,给出了一种hp自适应算法,并通过数值实验证明了该算法的性能,包括指数收敛性的证据。
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
Computers & Mathematics with Applications
Computers & Mathematics with Applications 工程技术-计算机:跨学科应用
CiteScore
5.10
自引率
10.30%
发文量
396
审稿时长
9.9 weeks
期刊介绍: Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).
期刊最新文献
Stochastic quadrature rules for solving PDEs using neural networks Crouzeix-Raviart finite elements for lower energy bounds in Ginzburg-Landau-type minimisation Numerical analysis of pressure correction method in conjunction with modular Grad-Div stabilization for the diffusion peterlin viscoelastic fluid model Learning two parameters in fractional Tikhonov regularization method via deep neural networks: Application to the inverse problem for the Laplace operator with noisy data An efficient and accurate adaptive time-stepping method for the Allen–Cahn equation
×
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:604180095
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