首页 > 最新文献

Computational Methods for Solution of Inverse Problems in Mechanics最新文献

英文 中文
Mixed Finite Element Solution for a Magnetostatic Inverse Problem 静磁反问题的混合有限元解
Pub Date : 1998-11-15 DOI: 10.1115/imece1998-0221
T. Shigeta
The purpose of this paper is to present a numerical method of solution for a two-dimensional magnetostatic problem. The normal component of the magnetic flux density and the tangential component of the magnetic field with errors are simultaneously imposed on a part of the boundary of a bounded domain of the problem. The problem can be regarded as a boundary value inverse problem, because the proper boundary condition is to be identified for the rest of the boundary. The treatment is based on the method of least squares, and the steepest descent method minimizes an objective functional with a regularization term. The direct variational method paraphrases the inverse problem to the primary and the adjoint boundary value problems. The mixed finite element method using the edge element and the conventional finite element method are applied to the numerical solutions of the boundary value problems. Based on numerical computations, it is concluded that an estimated solution for the boundary data without errors is in agreement with an exact one, and the regularization term yields good approximate solutions for the boundary data with errors.
本文的目的是提出求解二维静磁问题的一种数值方法。将磁通密度的法向分量和带误差的磁场的切向分量同时施加在问题有界域的部分边界上。这个问题可以看作是一个边值反问题,因为需要为边界的其余部分确定合适的边界条件。该方法基于最小二乘法,最陡下降法利用正则化项最小化目标泛函。直接变分法将反问题转化为初等边值问题和伴随边值问题。采用边缘元混合有限元法和常规有限元法求解边值问题的数值解。通过数值计算,得到无误差边界数据的估计解与精确解是一致的,正则化项对有误差边界数据得到了很好的近似解。
{"title":"Mixed Finite Element Solution for a Magnetostatic Inverse Problem","authors":"T. Shigeta","doi":"10.1115/imece1998-0221","DOIUrl":"https://doi.org/10.1115/imece1998-0221","url":null,"abstract":"\u0000 The purpose of this paper is to present a numerical method of solution for a two-dimensional magnetostatic problem. The normal component of the magnetic flux density and the tangential component of the magnetic field with errors are simultaneously imposed on a part of the boundary of a bounded domain of the problem. The problem can be regarded as a boundary value inverse problem, because the proper boundary condition is to be identified for the rest of the boundary. The treatment is based on the method of least squares, and the steepest descent method minimizes an objective functional with a regularization term. The direct variational method paraphrases the inverse problem to the primary and the adjoint boundary value problems. The mixed finite element method using the edge element and the conventional finite element method are applied to the numerical solutions of the boundary value problems. Based on numerical computations, it is concluded that an estimated solution for the boundary data without errors is in agreement with an exact one, and the regularization term yields good approximate solutions for the boundary data with errors.","PeriodicalId":331326,"journal":{"name":"Computational Methods for Solution of Inverse Problems in Mechanics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1998-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122258429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Computational Methods for Solution of Inverse Problems in Mechanics
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
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
×
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
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