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使用粒子图像测速(PIV)数据对用于正位移左心室辅助装置(LVAD)分析的计算流体动力学(CFD)方法进行验证。

Validation of a CFD methodology for positive displacement LVAD analysis using PIV data.

作者信息

Medvitz Richard B, Reddy Varun, Deutsch Steve, Manning Keefe B, Paterson Eric G

机构信息

Pennsylvania State University, University Park, 16802, USA.

出版信息

J Biomech Eng. 2009 Nov;131(11):111009. doi: 10.1115/1.4000116.

Abstract

Computational fluid dynamics (CFD) is used to asses the hydrodynamic performance of a positive displacement left ventricular assist device. The computational model uses implicit large eddy simulation direct resolution of the chamber compression and modeled valve closure to reproduce the in vitro results. The computations are validated through comparisons with experimental particle image velocimetry (PIV) data. Qualitative comparisons of flow patterns, velocity fields, and wall-shear rates demonstrate a high level of agreement between the computations and experiments. Quantitatively, the PIV and CFD show similar probed velocity histories, closely matching jet velocities and comparable wall-strain rates. Overall, it has been shown that CFD can provide detailed flow field and wall-strain rate data, which is important in evaluating blood pump performance.

摘要

计算流体动力学(CFD)用于评估正位移左心室辅助装置的流体动力学性能。该计算模型使用隐式大涡模拟直接求解腔室压缩,并对瓣膜关闭进行建模,以重现体外实验结果。通过与实验粒子图像测速(PIV)数据进行比较来验证计算结果。对流动模式、速度场和壁面剪切率的定性比较表明,计算结果与实验结果高度吻合。在定量方面,PIV和CFD显示出相似的探测速度历程,喷射速度紧密匹配,壁面应变率相当。总体而言,研究表明CFD能够提供详细的流场和壁面应变率数据,这对于评估血泵性能非常重要。

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