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.
CITATION STYLE
Shiu, W. S., Yan, Z., Liu, J., Chen, R., Hwang, F. N., & Cai, X. C. (2017). Simulation of blood flow in patient-specific cerebral arteries with a domain decomposition method. In Lecture Notes in Computational Science and Engineering (Vol. 116, pp. 407–415). Springer Verlag. https://doi.org/10.1007/978-3-319-52389-7_42
Mendeley helps you to discover research relevant for your work.