F101 BDD前処理の統一的構築方法についての一考察(F1.低炭素社会向けシミュレーション技術,フォーラム)
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概要
- 論文の詳細を見る
An iterative domain decomposition method is applied to 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 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 (BDD) preconditioner. Also, we discuss a unified approach for the construction of BDD preconditioners in various applications including elastic problems, heat transfer problems and incompressible viscous flow problems besides magnetostatic problems.
- 一般社団法人日本機械学会の論文
- 2011-10-08
著者
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Kanayama Hiroshi
Department Of Intelligent Machinery And Systems Graduate School Of Engineering Kyushu University
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Ogino Masao
Department of Mechanical Engineering, Faculty of Engineering, Kyushu University
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OGINO Masao
Department of Hygiene Service, Himeji Livestock Hygiene Service Center, 2-10-16, Tadera-higashi, Himeji, Hyogo 670-0081, Japan
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Sugimoto Shin-ichiro
Department of Systems Innovation, School of Engineering, The University of Tokyo
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Yao Qinghe
International Research Center for Hydrogen Energy, Kyushu University
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