Volumetric lattice Boltzmann method for wall stresses of image-based pulsatile flows.

Volumetric lattice Boltzmann method for wall stresses of image-based pulsatile flows.
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DOI:
10.1038/s41598-022-05269-w
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发表时间:
2022-02-01
期刊:
影响因子:
4.6
通讯作者:
Yu H
Yu H
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Zhang X;Gomez-Paz J;Chen X;McDonough JM;Islam MM;Andreopoulos Y;Zhu L;Yu H

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基于图像的计算流体动力学(CFD)已成为一种新的能力,确定壁面应力的脉动流。然而,一个计算平台,直接连接图像信息脉动壁应力是缺乏的。流行的方法依赖于手工制作多学科软件包的大杂烩,这通常是费力和容易出错的。我们提出了一个新的计算平台,计算壁应力在基于图像的脉动流使用体积格子玻尔兹曼方法(VLBM)。新奇包括:(1)独特的图像处理以提取流动域和局部壁法线,(2)图像提取和VLBM之间的无缝连接,(3)应变率张量的途中计算,以及(4)GPU加速(此处不包括)。我们首先概括了流操作在VLBM,然后进行应用研究,以证明其可靠性和适用性。一个基准研究是层流和湍流脉动流在基于图像的管道(雷诺数:10至5000)。计算的脉动速度和剪切应力与Womersley的层流脉动流的解析解和湍流脉动流的同时实验室测量结果吻合良好。应用研究是量化基于图像的人体椎动脉和颈动脉中的脉动血流动力学,包括速度矢量、压力和壁面切应力。计算的速度矢量场与MRA(磁共振血管造影)测量的速度矢量场相当吻合。该计算平台适用于基于图像的CFD与医学应用以及各种自然和工程系统中的孔隙尺度多孔介质流动。
Image-based computational fluid dynamics (CFD) has become a new capability for determining wall stresses of pulsatile flows. However, a computational platform that directly connects image information to pulsatile wall stresses is lacking. Prevailing methods rely on manual crafting of a hodgepodge of multidisciplinary software packages, which is usually laborious and error-prone. We present a new computational platform, to compute wall stresses in image-based pulsatile flows using the volumetric lattice Boltzmann method (VLBM). The novelty includes: (1) a unique image processing to extract flow domain and local wall normality, (2) a seamless connection between image extraction and VLBM, (3) an en-route calculation of strain-rate tensor, and (4) GPU acceleration (not included here). We first generalize the streaming operation in the VLBM and then conduct application studies to demonstrate its reliability and applicability. A benchmark study is for laminar and turbulent pulsatile flows in an image-based pipe (Reynolds number: 10 to 5000). The computed pulsatile velocity and shear stress are in good agreements with Womersley's analytical solutions for laminar pulsatile flows and concurrent laboratory measurements for turbulent pulsatile flows. An application study is to quantify the pulsatile hemodynamics in image-based human vertebral and carotid arteries including velocity vector, pressure, and wall-shear stress. The computed velocity vector fields are in reasonably well agreement with MRA (magnetic resonance angiography) measured ones. This computational platform is good for image-based CFD with medical applications and pore-scale porous media flows in various natural and engineering systems.
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