Mesoscale simulations: Lattice Boltzmann and particle algorithms
Mesoscale simulations: Lattice Boltzmann and particle algorithms
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中尺度模拟：格子玻尔兹曼和粒子算法
DOI：
10.1016/j.physa.2006.04.011
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发表时间：
2006
影响因子：
3.3
通讯作者：
J. Yeomans
中科院分区：
文献类型：
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作者：
J. Yeomans
我介绍了两种中尺度算法，格子Boltzmann算法和随机旋转动力学算法，并展示了它们如何用于研究复杂流体的流体动力学。对于每种方法，我描述了算法，展示了它求解Navier-Stokes方程，然后讨论了它特别适用的物理问题。对于格子玻尔兹曼，我选择的例子是二元流体中的相序和化学图案表面上的液滴动力学。对于随机旋转动力学，我考虑稀释聚合物溶液的流体动力学，集中在剪切变稀和跨障碍转移。
I introduce two mesoscale algorithms, lattice Boltzmann and stochastic rotation dynamics, and show how they can be used to investigate the hydrodynamics of complex fluids. For each method I describe the algorithm, show that it solves the Navier–Stokes equations, and then discuss physical problems where it is particularly applicable. For lattice Boltzmann the examples I choose are phase ordering in a binary fluid and drop dynamics on a chemically patterned surface. For stochastic rotation dynamics I consider the hydrodynamics of dilute polymer solutions, concentrating on shear thinning and translocation across a barrier.