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动脉分叉动脉瘤问题中三维多相流的格子玻尔兹曼模型

Lattice Boltzmann Model of 3D Multiphase Flow in Artery Bifurcation Aneurysm Problem.

作者信息

Abas Aizat, Mokhtar N Hafizah, Ishak M H H, Abdullah M Z, Ho Tian Ang

机构信息

School of Mechanical Engineering, Universiti Sains Malaysia, Engineering Campus, 14300 Nibong Tebal, Penang, Malaysia.

School of Aerospace Engineering, Universiti Sains Malaysia, Engineering Campus, 14300 Nibong Tebal, Penang, Malaysia.

出版信息

Comput Math Methods Med. 2016;2016:6143126. doi: 10.1155/2016/6143126. Epub 2016 Apr 28.

Abstract

This paper simulates and predicts the laminar flow inside the 3D aneurysm geometry, since the hemodynamic situation in the blood vessels is difficult to determine and visualize using standard imaging techniques, for example, magnetic resonance imaging (MRI). Three different types of Lattice Boltzmann (LB) models are computed, namely, single relaxation time (SRT), multiple relaxation time (MRT), and regularized BGK models. The results obtained using these different versions of the LB-based code will then be validated with ANSYS FLUENT, a commercially available finite volume- (FV-) based CFD solver. The simulated flow profiles that include velocity, pressure, and wall shear stress (WSS) are then compared between the two solvers. The predicted outcomes show that all the LB models are comparable and in good agreement with the FVM solver for complex blood flow simulation. The findings also show minor differences in their WSS profiles. The performance of the parallel implementation for each solver is also included and discussed in this paper. In terms of parallelization, it was shown that LBM-based code performed better in terms of the computation time required.

摘要

本文对三维动脉瘤几何结构内的层流进行了模拟和预测,因为使用标准成像技术(例如磁共振成像(MRI))很难确定和可视化血管内的血流动力学情况。计算了三种不同类型的格子玻尔兹曼(LB)模型,即单松弛时间(SRT)、多松弛时间(MRT)和正则化BGK模型。然后,使用基于LB的代码的这些不同版本获得的结果将用ANSYS FLUENT(一种市售的基于有限体积(FV)的计算流体力学(CFD)求解器)进行验证。然后比较两个求解器之间包括速度、压力和壁面剪应力(WSS)的模拟流动剖面。预测结果表明,所有LB模型都具有可比性,并且与有限体积法(FVM)求解器在复杂血流模拟方面吻合良好。研究结果还表明它们的WSS剖面存在微小差异。本文还包括并讨论了每个求解器的并行实现性能。在并行化方面,结果表明基于格子玻尔兹曼方法(LBM)的代码在所需计算时间方面表现更好。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/943e/4864205/44edfc6bde54/CMMM2016-6143126.001.jpg

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