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Lattice Boltzmann simulation of transient blood flow in arterial geometries using a regularised, viscoplastic and shear-thinning fluid

机译:使用规则,粘塑和剪切薄液的动脉几何形状中瞬态血流的晶格Boltzmann模拟

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This paper presents a lattice Boltzmann framework for the transient simulation of blood flow using biologically inspired geometries and pressure boundary conditions. The Kuang-Luo rheological model is used to represent blood as a homogeneous continuum. This model includes the two primary non-Newtonian characteristics of blood, namely viscoplasticity and pseudoplasticity. This paper makes two contributions. First, the numerical challenges associated with zero strain rates and infinite viscosity, as a consequence of the yield stress in the Kuang-Luo model, were addressed by regularising the constitutive equation so that the viscosity tends towards a finite value at low strain rates. A two-relaxation-time operator, which exhibits improved performance over the single-relaxation-time operator and lower computational overhead than the multiple-relaxation-time operator, is employed in the collision process. The recursive relationship between the local strain rate and relaxation rate was addressed by use of an implicit solver for these two quantities. The implemented model was benchmarked against analytic solutions for Poiseuille flow between parallel plates in two dimensions and in a cylindrical tube in three dimensions. More importantly, the transient performance of the implemented model was demonstrated by matching the predicted start-up flow of the Poiseuille flow of a Bingham fluid with the corresponding analytical solution. Second, the numerical developments were applied in the simulation of transient blood flow in complex configurations. The development and implementation of physically inspired pressure profiles highlighted the shortcomings of using a sinusoidal pressure profile in the prediction of velocity and stress distributions. Finally, the simulation of blood flow in a section of a carotid artery indicated a number of flow characteristics that will be of interest to future investigations of clinical problems.
机译:本文介绍了使用生物学启发的几何形状和压力边界条件的血液流动瞬态模拟的格子Boltzmann框架。 Kuang-luo流变模型用于将血液作为均匀连续体代表。该模型包括血液的两个主要非牛顿特征,即粘塑性和假塑性。本文有两项贡献。首先,通过规范本构式方程来解决与Zuang-Luo模型中的屈服应力相关的数值挑战和无限粘度。在碰撞过程中采用了一种双弛豫时间操作员,其表现出在单弛豫时间操作员和较低的计算开销上提高性能和低于多放松时间操作员。通过使用隐式求解器来解决局部应变速率和弛豫率之间的递归关系。该实施的模型是对分析解决方案的基准测试,用于两尺寸的平行板之间的Poiseuille流动,并在三个尺寸中呈圆柱形管。更重要的是,通过将弯曲流体的预测的启动流与相应的分析溶液相匹配来证明实施模型的瞬态性能。其次,在复杂配置中的瞬态血流模拟中应用了数值发展。物理启发性压力型材的开发和实施突出了在预测速度和应力分布中使用正弦压力轮廓的缺点。最后,颈动脉的一部分血流模拟表明了一些流动特征,对未来对临床问题的研究感兴趣。

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