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.

我们提出了一个新的数值模拟框架，用于预测人类左心室模型中的血流模式。在这项研究中，开发了一种径向基函数（RBF）网格变形方法，并将其应用于有限体积计算流体动力学（CFD）方法中。数值模拟旨在紧密模拟最近的层析X射线图像测速（TomoPIV）实验的细节。通过RBF变形方法，对左心室和三叶生物二尖瓣的动态运动进行了数值模拟。基于RBF定义的变形壁边界执行基于Lagrangian-Eulerian（ALE）的任意CFD。所得结果与实验结果吻合良好，证实了所开发仿真框架的可靠性和准确性。