A parallel implementation of a mixed multiscale domain decomposition method applied to the magnetostatic simulation of 2D electrical machines

IF 3.5 3区 工程技术 Q1 MATHEMATICS, APPLIED
A. Ruda , F. Louf , P.-A. Boucard , X. Mininger , T. Verbeke
{"title":"A parallel implementation of a mixed multiscale domain decomposition method applied to the magnetostatic simulation of 2D electrical machines","authors":"A. Ruda ,&nbsp;F. Louf ,&nbsp;P.-A. Boucard ,&nbsp;X. Mininger ,&nbsp;T. Verbeke","doi":"10.1016/j.finel.2024.104136","DOIUrl":null,"url":null,"abstract":"<div><p>This article introduces a mixed domain decomposition method (DDM) designed to meet the requirements of advanced numerical optimization in electrical machines. The primary objective is to adapt the multiscale LATIN method, primarily used for mechanical studies, to the magnetostatic context. The proposed method offers an effective iterative scheme that relies on a mixed formulation of the equations on the domain interfaces, considering both primal and dual fields. A parallel computation strategy for the algorithm is implemented. Computational experiments performed demonstrate the scalability and efficiency of the algorithm.</p></div>","PeriodicalId":56133,"journal":{"name":"Finite Elements in Analysis and Design","volume":null,"pages":null},"PeriodicalIF":3.5000,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0168874X24000301/pdfft?md5=b7a5037f3366fcc0d985abdf1acf595d&pid=1-s2.0-S0168874X24000301-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Finite Elements in Analysis and Design","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0168874X24000301","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0

Abstract

This article introduces a mixed domain decomposition method (DDM) designed to meet the requirements of advanced numerical optimization in electrical machines. The primary objective is to adapt the multiscale LATIN method, primarily used for mechanical studies, to the magnetostatic context. The proposed method offers an effective iterative scheme that relies on a mixed formulation of the equations on the domain interfaces, considering both primal and dual fields. A parallel computation strategy for the algorithm is implemented. Computational experiments performed demonstrate the scalability and efficiency of the algorithm.

应用于二维电机磁静力模拟的混合多尺度域分解方法的并行实施
本文介绍了一种混合域分解方法(DDM),旨在满足电机高级数值优化的要求。其主要目的是将主要用于机械研究的多尺度 LATIN 方法适用于磁静力环境。所提出的方法提供了一种有效的迭代方案,该方案依赖于域界面上的混合方程表述,同时考虑了主域和双域。该算法采用并行计算策略。计算实验证明了该算法的可扩展性和效率。
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 求助全文
来源期刊
CiteScore
4.80
自引率
3.20%
发文量
92
审稿时长
27 days
期刊介绍: The aim of this journal is to provide ideas and information involving the use of the finite element method and its variants, both in scientific inquiry and in professional practice. The scope is intentionally broad, encompassing use of the finite element method in engineering as well as the pure and applied sciences. The emphasis of the journal will be the development and use of numerical procedures to solve practical problems, although contributions relating to the mathematical and theoretical foundations and computer implementation of numerical methods are likewise welcomed. Review articles presenting unbiased and comprehensive reviews of state-of-the-art topics will also be accommodated.
×
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