Artoli A M, Hoekstra A G, Sloot P M A
Section Computational Science, Laboratory for Computing, Systems Architecture and Programming, Faculty of Science, University of Amsterdam, Kruislaan 403, 1098 SJ Amsterdam, The Netherlands.
J Biomech. 2006;39(5):873-84. doi: 10.1016/j.jbiomech.2005.01.033.
The complex nature of blood flow in the human arterial system is still gaining more attention, as it has become clear that cardiovascular diseases localize in regions of complex geometry and complex flow fields. In this article, we demonstrate that the lattice Boltzmann method can serve as a mesoscopic computational hemodynamic solver. We argue that it may have benefits over the traditional Navier-Stokes techniques. The accuracy of the method is tested by studying time-dependent systolic flow in a 3D straight rigid tube at typical hemodynamic Reynolds and Womersley numbers as an unsteady flow benchmark. Simulation results of steady and unsteady flow in a model of the human aortic bifurcation reconstructed from magnetic resonance angiography, are presented as a typical hemodynamic application.
人体动脉系统中血流的复杂特性仍在受到越来越多的关注，因为很明显心血管疾病定位于具有复杂几何形状和复杂流场的区域。在本文中，我们证明格子玻尔兹曼方法可以作为一种介观计算血液动力学求解器。我们认为它可能比传统的纳维-斯托克斯技术更具优势。通过研究典型血液动力学雷诺数和沃默斯利数下三维直管中随时间变化的收缩期血流作为非定常流动基准来测试该方法的准确性。展示了从磁共振血管造影重建的人体主动脉分叉模型中稳态和非稳态血流的模拟结果，作为典型的血液动力学应用。
