Nested and parallel sparse algorithms for arterial fluid mechanics computations with boundary layer mesh refinement

Murat Manguoglu, Kenji Takizawa, Ahmed H. Sameh*, Tayfun E. Tezduyar

*この研究の対応する著者

研究成果: Article査読

42 被引用数 (Scopus)

抄録

Arterial fluid-structure interaction (FSI) computations involve a number of numerical challenges. Because blood flow is incompressible, iterative solution of the fluid mechanics part of the linear equation system at every nonlinear iteration of each time step is one of those challenges, especially for computations over slender domains and in the presence of boundary layer mesh refinement. In this paper we address that challenge. As test cases, we use equation systems from stabilized finite element computation of a bifurcating middle cerebral artery segment with aneurysm, with thin layers of elements near the arterial wall. We show how the preconditioning techniques, we propose for solving these large sparse nonsymmetric systems, perform at different time steps of the computation over a cardiac cycle. We also present a new hybrid parallel sparse linear system solver 'DD-Spike' and demonstrate its scalability.

本文言語English
ページ(範囲)135-149
ページ数15
ジャーナルInternational Journal for Numerical Methods in Fluids
65
1-3
DOI
出版ステータスPublished - 2011 1 1
外部発表はい

ASJC Scopus subject areas

  • 計算力学
  • 材料力学
  • 機械工学
  • コンピュータ サイエンスの応用
  • 応用数学

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