Parallel Domain Decomposition Algorithms for Blood Flows in Patient-Specific Cerebral Arteries
文献类型：会议论文
| 作者 | Wen-Shin Shiu; Eric Haujaun Hu; Zhengzheng Yan; Rongliang Chen; Feng-Nan Hwang; Xiao-Chuan Cai |
| 出版日期 | 2015 |
| 会议名称 | International Conference on Domain Decomposition Method (DD23) |
| 会议地点 | 韩国济州岛 |
| 英文摘要 | We develop parallel domain decomposition algorithms to simulate blood flows in the patient-specific cerebral artery using geometric information obtained by standard medical imaging techniques. The complicated patient-specific geometry in the human brain makes the problem challenging. We use a Galerkin/least-squares finite element method to discretize the 3D incompressible Navier-Stokes equations, which are employed to model the blood flow, and the resulting large sparse nonlinear system of equations is solved by a Newton-Krylov-Schwarz algorithm. From the computed flow fields, we are able to understand some of the behavior of the blood flow in the dysfunctional territories. We also report the robustness and parallel performance of the domain decomposition based algorithms. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/7011]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | 2015 |
| 推荐引用方式 GB/T 7714 | Wen-Shin Shiu,Eric Haujaun Hu,Zhengzheng Yan,et al. Parallel Domain Decomposition Algorithms for Blood Flows in Patient-Specific Cerebral Arteries[C]. 见:International Conference on Domain Decomposition Method (DD23). 韩国济州岛. |
入库方式： OAI收割
来源：深圳先进技术研究院
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