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Efficient Parallel Simulation of Blood Flows in Abdominal Aorta
arXiv - CS - Computational Engineering, Finance, and Science Pub Date : 2019-06-10 , DOI: arxiv-1906.04172
Shanlin Qin, Rongliang Chen, Bokai Wu, Jia Liu, Wen-Shin Shiu, Zhengzheng Yan, Xiao-Chuan Cai

It is known that the maximum diameter for the rupture-risk assessment of the abdominal aortic aneurysm is a generally good method, but not sufficient. Alternative features obtained with computational modeling may provide additional useful criteria. Though computational approaches are noninvasive, they are often time-consuming because of the high computational complexity. In this paper, we present a highly parallel algorithm for the numerical simulation of unsteady blood flows in the patient-specific abdominal aorta. We model the blood flow with the unsteady incompressible Navier-Stokes equations, and solve the discretized system with a highly scalable domain decomposition method. With this approach, the complete flow field can be obtained in less than an hour, instead of days with older methods. We show experimentally that the proposed method offers accurate solutions of the pressure, the velocity and the wall shear stress, and the parallel efficiency is higher than 70% on a parallel computer with more than 1,000 processor cores.

中文翻译:

腹主动脉血流的高效并行模拟

众所周知,腹主动脉瘤破裂风险评估的最大直径通常是一种很好的方法,但还不够。通过计算建模获得的替代特征可以提供额外的有用标准。尽管计算方法是非侵入性的,但由于计算复杂度高,它们通常很耗时。在本文中,我们提出了一种高度并行的算法,用于对患者特定腹主动脉中的不稳定血流进行数值模拟。我们使用不稳定的不可压缩 Navier-Stokes 方程对血流进行建模,并使用高度可扩展的域分解方法求解离散化系统。使用这种方法,可以在不到一个小时的时间内获得完整的流场,而不是使用旧方法需要几天时间。
更新日期:2020-03-16
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