On the Coarse Matrix Solver of Preconditioners for Magnetostatic Domain Decomposition Analysis

カテゴリ: 論文誌(論文単位)

グループ名: 【B】電力・エネルギー部門

発行日: 2017/03/01

タイトル(英語): On the Coarse Matrix Solver of Preconditioners for Magnetostatic Domain Decomposition Analysis

著者名: Hiroshi Kanayama (Japan Women's University), Masao Ogino (Nagoya University), Shin-ichiro Sugimoto (Tokyo University of Science, Suwa), Kaworu Yodo (Insight, Inc.), Hongjie Zheng (Toyo University)

著者名(英語): Hiroshi Kanayama (Japan Women's University), Masao Ogino (Nagoya University), Shin-ichiro Sugimoto (Tokyo University of Science, Suwa), Kaworu Yodo (Insight, Inc.), Hongjie Zheng (Toyo University)

キーワード: large-scale magnetostatic problems，DDM，FEM，CG，preconditioning，the coarse problem

要約(英語): An iterative domain decomposition method is proposed for numerical analysis of 3-Dimensional (3D) linear magnetostatic problems taking the magnetic vector potential as an unknown function. The iterative domain decomposition method is combined with the Preconditioned Conjugate Gradient (PCG) procedure and the Hierarchical Domain Decomposition Method (HDDM) which is adopted in parallel computing. Our previously employed preconditioner was the Neumann-Neumann (NN) preconditioner. Numerical results showed that the method was only effective for smaller problems. In this paper, we consider its improvement with the Balancing Domain Decomposition DIAGonal scaling (BDD-DIAG) preconditioner. Specially, the coarse matrix solver is changed to an iterative solver for the first time.

本誌: 電気学会論文誌B（電力・エネルギー部門誌） Vol.137 No.3 （2017） 特集：電力・電気機器関連の電磁界数値解析

本誌掲載ページ: 179-185 p

原稿種別: 論文／英語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejpes/137/3/137_179/_article/-char/ja/