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Numerical simulations of flows in cerebral aneurysms using the lattice Boltzmann method with single- and multiple-relaxation time collision models

机译:单点和多重松弛时间碰撞模型的格子Boltzmann方法对脑动脉瘤流动的数值模拟

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Lattice Boltzmann simulations of flows in TOF-MRA-based cerebral aneurysm models are carried out using the single-, two- and multiple-relaxation time collision models, SRT, TRT and MRT, to investigate the effects of the collision model on predicted velocity fields in the aneurysms. The non-Newtonian characteristics of blood are accounted for by using the Casson model, whereas a simulation with the Newtonian viscous stress model is also carried out to investigate the effects of the viscous stress model on predicted velocity and wall shear stress distributions. Four cerebral aneurysm models are used in the simulation. The shapes of cerebral arteries are extracted from TOF-MRA data as STL meshes, and the level set function representing the artery wall is reconstructed from the STL mesh data. By making use of the level set function in the interpolated bounce-back scheme, the complex structures of arteries having aneurysms can be easily dealt with in the LB framework. As a result, the following conclusions are obtained: (1) the SRT can give reasonable predictions comparable to the MRT, provided that the spatial resolution is high enough: otherwise numerical errors can be large and numerical instabilities take place, (2) numerical errors in velocity is apt to take place in the near aneurysm wall region due to a small velocity scale, (3) although the TRT is less stable than the MRT, predictions of the TRT under stable numerical conditions are almost the same as those of the MRT, and (4) although the Bingham number effect on the flow structure is small, the mean wall shear stress may change over several percent, depending on the configuration of the aneurysm and the main blood flow, by neglecting the non-Newtonian nature of blood. (C) 2019 Elsevier Ltd. All rights reserved.
机译:使用单松弛,两次松弛和多重松弛时间碰撞模型SRT,TRT和MRT对基于TOF-MRA的脑动脉瘤模型中的流动进行了格子Boltzmann模拟,以研究碰撞模型对预测速度场的影响在动脉瘤中。通过使用卡森模型解释了血液的非牛顿特性,同时还使用牛顿粘性应力模型进行了模拟,以研究粘性应力模型对预测速度和壁切应力分布的影响。在模拟中使用了四个脑动脉瘤模型。从TOF-MRA数据中提取脑动脉的形状作为STL网格,并从STL网格数据中重建代表动脉壁的水平集函数。通过在插值反弹方案中使用水平集功能,可以在LB框架中轻松处理具有动脉瘤的动脉的复杂结构。结果,得出以下结论:(1)如果空间分辨率足够高,则SRT可以给出与MRT相当的合理预测:否则,数值误差会很大并且会发生数值不稳定性;(2)数值误差(3)尽管TRT不如MRT稳定,但在稳定的数值条件下TRT的预测与MRT几乎相同(4)尽管宾厄姆数对血流结构的影响很小,但由于忽略了血液的非牛顿性,平均壁切应力可能会改变百分之几,这取决于动脉瘤和主要血流的形态。 (C)2019 Elsevier Ltd.保留所有权利。

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