Simulation of Blood Flow in Patient-specific Cerebral Arteries with a Domain Decomposition Method

Wen-Shin Shiu Zhengzheng Yan Jia Liu Rongliang Chen Feng-Nan Hwang Xiao-Chuan Cai

Data Analysis mathscidoc:1910.43864

407-415, 2017
We simulate blood flow in patient-specific cerebral arteries. The complicated geometry in the human brain makes the problem challenging. We use a fully unstructured three dimensional mesh to cover the artery, and Galerkin/least-squares finite element method to discretize the incompressible Navier-Stokes equations, that 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 certain behavior of the blood flow of this particular patient before and after a stenosis is surgically removed. We also report the robustness and parallel performance of the domain decomposition based algorithm.
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@inproceedings{wen-shin2017simulation,
  title={Simulation of Blood Flow in Patient-specific Cerebral Arteries with a Domain Decomposition Method},
  author={Wen-Shin Shiu, Zhengzheng Yan, Jia Liu, Rongliang Chen, Feng-Nan Hwang, and Xiao-Chuan Cai},
  url={http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20191020222900462508393},
  pages={407-415},
  year={2017},
}
Wen-Shin Shiu, Zhengzheng Yan, Jia Liu, Rongliang Chen, Feng-Nan Hwang, and Xiao-Chuan Cai. Simulation of Blood Flow in Patient-specific Cerebral Arteries with a Domain Decomposition Method. 2017. pp.407-415. http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20191020222900462508393.
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