Surgical planning for aortic aneurysm repair is a difficult task. In addition to the morphological features obtained from medical imaging, alternative features obtained with computational modeling may provide additional useful information. Though numerical studies are noninvasive, they are often time-consuming, especially when we need to study and compare multiple repair scenarios, 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 before and after the aneurysmic repair. We model the blood flow with the unsteady incompressible Navier-Stokes equations with different outlet boundary conditions, and solve the discretized system with a highly scalable domain decomposition method. With this approach, a high resolution simulation of a full-size adult aorta can be obtained in less than an hour, instead of days with older methods and software. In addition, we show that the parallel efficiency of the proposed method is near 70% on a parallel computer with 2, 880 processor cores.

主动脉瘤修复的手术计划是一项艰巨的任务。除了从医学成像获得的形态特征之外，通过计算建模获得的替代特征可能会提供额外的有用信息。虽然数值研究是非侵入性的，但它们通常很耗时，特别是当我们需要研究和比较多个修复场景时，因为计算复杂度很高。在本文中，我们提出了一种高度并行的算法，用于对动脉瘤修复前后患者特定腹主动脉中的不稳定血流进行数值模拟。我们使用具有不同出口边界条件的非定常不可压缩 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。通过这种方法，可以在不到一个小时内获得全尺寸成人主动脉的高分辨率模拟，而不是使用较旧的方法和软件几天。此外，我们表明所提出方法的并行效率接近 70%在具有 2, 880 个处理器内核的并行计算机上。