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Dissipative Coupling of Fluid and Immersed Objects for Modelling of Cells in Flow

机译:流体和浸没物体的耗散耦合用于流动细胞的建模

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摘要

Modelling of cell flow for biomedical applications relies in many cases on the correct description of fluid-structure interaction between the cell membrane and the surrounding fluid. We analyse the coupling of the lattice-Boltzmann method for the fluid and the spring network model for the cells. We investigate the bare friction parameter of fluid-structure interaction that is mediated via dissipative coupling. Such coupling mimics the no-slip boundary condition at the interface between the fluid and object. It is an alternative method to the immersed boundary method. Here, the fluid-structure coupling is provided by forces penalising local differences between velocities of the object's boundaries and the surrounding fluid. The method includes a phenomenological friction coefficient that determines the strength of the coupling. This work aims at determination of proper values of such friction coefficient. We derive an explicit formula for computation of this coefficient depending on the mesh density assuming a reference friction is known. We validate this formula on spherical and ellipsoidal objects. We also provide sensitivity analysis of the formula on all parameters entering the model. We conclude that such formula may be used also for objects with irregular shapes provided that the triangular mesh covering the object's surface is in some sense uniform. Our findings are justified by two computational experiments where we simulate motion of a red blood cell in a capillary and in a shear flow. Both experiments confirm our results presented in this work.
机译:用于生物医学应用的细胞流建模在许多情况下都依赖于对细胞膜与周围流体之间的流体-结构相互作用的正确描述。我们分析了流体的晶格-玻尔兹曼方法和细胞的弹簧网络模型的耦合。我们研究了通过耗散耦合介导的流体-结构相互作用的裸摩擦参数。这种耦合模仿了流体与物体之间的界面处的防滑边界条件。它是沉浸边界方法的替代方法。在此,通过惩罚物体边界和周围流体的速度之间的局部差异的力来提供流固耦合。该方法包括确定耦合强度的现象摩擦系数。这项工作旨在确定这种摩擦系数的适当值。假设已知基准摩擦力,我们将根据网格密度导出用于计算该系数的明确公式。我们在球形和椭圆形物体上验证此公式。我们还提供对进入模型的所有参数的公式的敏感性分析。我们得出的结论是,只要覆盖对象表面的三角形网格在某种意义上是均匀的,则此类公式也可用于形状不规则的对象。我们的发现通过两个计算实验得到了证明,其中我们模拟了毛细血管和剪切流中红细胞的运动。这两个实验都证实了我们在这项工作中提出的结果。

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