Computational Fluid Dynamics Modeling of the Human Pulmonary Arteries with Experimental Validation.

Computational Fluid Dynamics Modeling of the Human Pulmonary Arteries with Experimental Validation.
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DOI:
10.1007/s10439-018-2047-1
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发表时间:
2018-09
影响因子:
3.8
通讯作者:
Finol EA
Finol EA
中科院分区:
工程技术2区
文献类型:
--
作者:
Bordones AD;Leroux M;Kheyfets VO;Wu YA;Chen CY;Finol EA

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肺动脉高压(PH)是一种慢性进行性疾病,其特征是肺动脉压力升高,由肺动脉阻抗增加引起。计算流体动力学(CFD)可用于识别代表PH疾病阶段的指标。然而,由于模型的几何复杂性或再现所需流动条件的不确定性,通常不进行CFD模型的实验验证。这项工作的目标是实验验证使用粒子图像测速(PIV)技术的肺动脉体模的CFD模型。使用快速成型技术构建患者特定的肺部几何结构,该几何结构来自胸部计算机断层扫描血管造影图像。使用雷诺数与实验雷诺数匹配的肺模型进行CFD模拟。流率,速度场,并与CFD模拟得到的剪切应力分布进行了比较,从PIV流动可视化实验的同行。对于CFD模型的四个分支中的三个分支,计算预测的流速在实验测量值的1%以内。研究的四个横向平面的平均速度在实验平均速度的5.9%至13.1%之间。两种方法之间的剪切应力定性相似,但在高速度梯度区域存在一些差异。CFD模型和PIV体模之间的流体流动差异归因于实验不准确性和体模的相对顺应性。这种比较分析产生了有价值的信息的准确性计算流体动力学预测肺循环模型中的血流动力学。
Pulmonary hypertension (PH) is a chronic progressive disease characterized by elevated pulmonary arterial pressure, caused by an increase in pulmonary arterial impedance. Computational fluid dynamics (CFD) can be used to identify metrics representative of the stage of PH disease. However, experimental validation of CFD models is often not pursued due to the geometric complexity of the model or uncertainties in the reproduction of the required flow conditions. The goal of this work is to validate experimentally a CFD model of a pulmonary artery phantom using a particle image velocimetry (PIV) technique. Rapid prototyping was used for the construction of the patient-specific pulmonary geometry, derived from chest computed tomography angiography images. CFD simulations were performed with the pulmonary model with a Reynolds number matching those of the experiments. Flow rates, the velocity field, and shear stress distributions obtained with the CFD simulations were compared to their counterparts from the PIV flow visualization experiments. Computationally predicted flow rates were within 1% of the experimental measurements for three of the four branches of the CFD model. The mean velocities in four transversal planes of study were within 5.9% to 13.1% of the experimental mean velocities. Shear stresses were qualitatively similar between the two methods with some discrepancies in the regions of high velocity gradients. The fluid flow differences between the CFD model and the PIV phantom are attributed to experimental inaccuracies and the relative compliance of the phantom. This comparative analysis yielded valuable information on the accuracy of CFD predicted hemodynamics in pulmonary circulation models.
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