Numerical simulations of flow patterns in the human left ventricle model with a novel dynamic mesh morphing approach based on radial basis function

被引：14
|
作者：
Xu, Fei [1 ,2 ]
Kenjeres, Sasa [1 ,2 ]
机构：
[1] Delft Univ Technol, Fac Sci Appl, Dept Chem Engn, Maasweg 9, NL-2629 HZ Delft, Netherlands
[2] JM Burgersctr Res Sch Fluid Mech, Maasweg 9, NL-2629 HZ Delft, Netherlands
来源：
COMPUTERS IN BIOLOGY AND MEDICINE | 2021年 / 130卷
关键词：
Heart failure; Left ventricle; Biological valve; Radial basis functions (RBF); Mesh morphing; CFD; FLUID-STRUCTURE-INTERACTION; OPTIMAL VORTEX FORMATION; MITRAL-VALVE; BLOOD-FLOW; HEART-VALVES; MECHANICS;
D O I：
10.1016/j.compbiomed.2020.104184
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
We present a new numerical simulation framework for prediction of flow patterns in the human left ventricle model. In this study, a radial basis function (RBF) mesh morphing method is developed and applied within the finite-volume computational fluid dynamics (CFD) approach. The numerical simulations are designed to closely mimic details of recent tomographic particle image velocimetry (TomoPIV) experiments. The numerically simulated dynamic motions of the left ventricle and tri-leaflet biological mitral valve are emulated through the RBF morphing method. The arbitrary Lagrangian-Eulerian (ALE) based CFD is performed with the RBF-defined deforming wall boundaries. The results obtained show a good agreement with experiments, confirming the reliability and accuracy of the developed simulation framework.
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页数：12
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