Heat Conductive Analysis with Balancing Domain Decomposition Method
スポンサーリンク
概要
- 論文の詳細を見る
Balancing Domain Decomposition (BDD) proposed by J. Mandel is an effective preconditioning technique for reducing the number of iterations of iterative Domain Decomposition Method(DDM). Until now many researches have been done on the implementation of BDD in different areas including elasticity problems and semiconductor simulation. In this paper, we implement BDD in another area that is 3-dimensional(3-D) heat conductive analysis in solid. We construct the BDD preconditioner in parallel based on Hierarchical Domain Decomposition Method (HDDM). We report the comparative performance of BDD with diagonal scaling and original DDM without preconditioning to analyse heat conductive problems with about 2 million degrees of freedom and over 11 million degrees of freedom. With BDD the convergence rates are reduced effectively and become independent of the number of subdomains.
- 日本学術会議 「機械工学委員会・土木工学・建築学委員会合同IUTAM分科会」の論文
日本学術会議 「機械工学委員会・土木工学・建築学委員会合同IUTAM分科会」 | 論文
- Study on Numerical Simulation for Vibro-Acoustic Response of Spacecraft
- 人工関節用セラミックスの摩擦摩耗挙動に対する材料組合せ・潤滑剤・表面膜の影響
- 擬似圧縮性DESによる風車後流の3次元数値解析と後流モデル化に関する研究
- ハイブリッド吊床版道路橋の耐風性能
- 一般断面を有する多重連結型開水路網に生じるダム崩壊問題に対する双対格子に基づいた有限体積モデル