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Augmenting the Immersed Boundary Method with Radial Basis Functions (RBFs) for the Modeling of Platelets in Hemodynamic Flows

机译:用径向基函数(RBF)增强浸入边界方法以建立血流动力学血小板

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摘要

We present a new computational method by extending the Immersed Boundary (IB) method with a geometric model based on parametric Radial Basis Function (RBF) interpolation of the Lagrangian structures. Our specific motivation is the modeling of platelets in hemodynamic flows, though we anticipate that our method will be useful in other applications involving surface elasticity. The efficacy of our new RBF-IB method is shown through a series of numerical experiments. Specifically, we test the convergence of our method and compare our method with the traditional IB method in terms of computational cost, maximum stable time-step size and volume loss. We conclude that the RBF-IB method has advantages over the traditional Immersed Boundary method, and is well-suited for modeling of platelets in hemodynamic flows.
机译:我们通过将浸入边界(IB)方法扩展到基于拉格朗日结构的参数径向基函数(RBF)插值的几何模型,提出了一种新的计算方法。尽管我们预计我们的方法将在涉及表面弹性的其他应用中有用,但我们的主要动机是对血液动力学流动中的血小板建模。通过一系列数值实验证明了我们新的RBF-IB方法的有效性。具体来说,我们测试了我们方法的收敛性,并在计算成本,最大稳定时间步长和体积损失方面与传统IB方法进行了比较。我们得出的结论是,RBF-IB方法相对于传统的浸入边界方法具有优势,并且非常适合于在血流动力学流中建立血小板模型。

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