The study of viscous fluid flow coupled with rigid or deformable solids has many applications in biological and engineering problems, e.g., blood cell transport, drug delivery, and particulate flow. We developed a partitioned approach to solve this coupled Multiphysics problem. The fluid motion was solved by Palabos (Parallel Lattice Boltzmann Solver), while the solid displacement and deformation was simulated by LAMMPS (Large-scale Atomic/Molecular Massively Parallel Simulator). The coupling was achieved through the immersed boundary method (IBM). The code modeled both rigid and deformable solids exposed to flow. The code was validated with the Jeffery orbits of an ellipsoid particle in shear flow, red blood cell stretching test, and effective blood viscosity flowing in tubes. It demonstrated essentially linear scaling from 512 to 8192 cores for both strong and weak scaling cases. The computing time for the coupling increased with the solid fraction. An example of the fluid–solid coupling was given for flexible filaments (drug carriers) transport in flowing blood cell suspensions, highlighting the advantages and capabilities of the developed code.

与刚性或可变形固体相结合的粘性流体流动的研究在生物和工程问题中具有许多应用，例如血细胞运输、药物输送和颗粒流动。我们开发了一种分区方法来解决这个耦合多物理场问题。流体运动由Palabos （并行格子玻尔兹曼求解器）求解，而固体位移和变形由LAMMPS（大规模原子/分子大规模并行模拟器）模拟。耦合是通过浸入边界法（IBM）实现的。该代码对暴露于流动的刚性和可变形固体进行建模。该代码通过椭圆体粒子在剪切流、红细胞拉伸测试和管中流动的有效血液粘度中的 Jeffery 轨道进行了验证。它展示了在强扩展和弱扩展情况下从 512 个核心到 8192 个核心的基本线性扩展。耦合的计算时间随着固体分数的增加而增加。给出了流动血细胞悬浮液中柔性细丝（药物载体）运输的流固耦合示例，突出了所开发代码的优点和功能。