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

Jiali Tu, Shanlin Qin, Rongliang Chen
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Abstract

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.
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患者特异性主动脉夹层血流的平行数值模拟
主动脉夹层是主动脉壁内层的分离,使血液能够流入。计算流体动力学可以更好地理解其病理和治疗。然而,由于计算量大,它是耗时的。在这项工作中,我们介绍了一种并行算法,用于精确和快速的三维血流模拟患者特定的全尺寸主动脉解剖。具体而言,在空间上采用非结构有限元法对非定常Navier-Stokes方程进行离散,在时间上采用全隐式有限差分法对非定常Navier-Stokes方程进行离散,在每个时间步上采用基于并行可扩展迭代算法的域分解方法求解全耦合非线性系统。结果表明,模拟的压力、速度和壁面剪应力均在合理范围内。此外,该算法在天河2a超级计算机上使用3840处理器内核时实现了40%的并行效率,显示出快速高保真主动脉夹层血流模拟的潜力。
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