标题： 基于耦合格子玻尔兹曼和朗之万动力学的多尺度方法，用于复杂流动中纳米粒子/聚合物悬浮液的直接模拟 显示英文标题

标题： Multiscale method based on coupled lattice-Boltzmann and Langevin-dynamics for direct simulation of nanoscale particle/polymer suspensions in complex flows

摘要： 一种混合计算方法，将格子玻尔兹曼（LB）方法和朗之万动力学（LD）方法耦合，用于模拟存在热涨落和长程多体流体动力学相互作用（HI）的纳米尺度粒子和聚合物（NPP）悬浮液。 NPP的布朗运动通过LD方法中的随机强迫项被明确捕捉。 通过离散的LB强迫源分布，LD方法与非涨落的LB流体进行双向耦合，以捕捉长程HI。 为确保相对于粒子数量的固有线性可扩展性，开发并嵌入了一个欧拉主机算法，用于短距离粒子邻居搜索和相互作用。 通过几个示例问题验证了LB-LD方法的有效性和准确性。 模拟结果与理论和实验结果具有良好一致性。 LB-LD方法可以有利地融入复杂的多尺度计算框架中，以高效模拟多尺度、多组分颗粒悬浮系统，如复杂血液悬浮液。 显示英文摘要

摘要： A hybrid computational method coupling the lattice-Boltzmann (LB) method and a Langevin-dynamics (LD) method is developed to simulate nanoscale particle and polymer (NPP) suspensions in the presence of both thermal fluctuation and long-range many-body hydrodynamic interactions (HI). Brownian motion of the NPP is explicitly captured by a stochastic forcing term in the LD method. The LD method is two-way coupled to the non-fluctuating LB fluid through a discrete LB forcing source distribution to capture the long-range HI. To ensure intrinsically linear scalability with respect to the number of particles, an Eulerian-host algorithm for short-distance particle neighbor search and interaction is developed and embedded to LB-LD framework. The validity and accuracy of the LB-LD approach are demonstrated through several sample problems. The simulation results show good agreements with theory and experiment. The LB-LD approach can be favorably incorporated into complex multiscale computational frameworks for efficiently simulating multiscale, multicomponent particulate suspension systems such as complex blood suspensions.