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Parallel Numerical Simulation of Blood Flows in Patient-specific Aortic Dissection

机译:患者特异性主动脉夹层血流的平行数值模拟

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Aortic dissection is the separation of the inner layers of the aortic wall, which allows the blood to flow into it. The computational fluid dynamics allows a better understanding of its pathology and treatment. However, it is time-consuming due to the computationally expensive. In this work, we introduce a parallel algorithm for accurate and fast three-dimensional blood flow simulation of a patient-specific full-size aorta with dissections. Specifically, the unsteady Navier-Stokes equations are discretized by a unstructured finite element method in space and a fully implicit finite difference method in time, and the fully coupled nonlinear system at each time step is solved by a domain decomposition method based parallel scalable iterative algorithm. The numerical results are carefully analyzed and it shows that the simulated pressure, velocity, and wall shear stress are within a reasonable range. In addition, the algorithm achieves a parallel efficiency of 40% when using 3840 processor cores on the Tianhe-2A supercomputer, which shows the potential to do fast and high fidelity blood flow simulations of aortic dissection.
机译:主动脉夹层是主动脉壁的内层的分离,使血液流入其中。计算流体动力学可以更好地理解其病理学和治疗。然而,由于计算昂贵,它是耗时的。在这项工作中,我们介绍了一种平行算法,用于患者特异性全尺寸主动脉的准确和快速的三维血流模拟,具有解剖。具体地,不稳定的Navier-Stokes方程由空间中的非结构化有限元方法和完全隐含的有限差分方法离散化,并且通过基于域分解方法的并行可伸缩迭代算法来解决每个时间步骤的完全耦合的非线性系统。仔细分析数值结果,表明模拟压力,速度和壁剪切应力在合理的范围内。此外,当在天河2A超级计算机上使用3840处理器核心时,该算法的平行效率为40%,这表明了有可能进行主动脉夹层的快速和高保真血流模拟的可能性。

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