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题名Lattice Boltzmann in micro-and nano-flow simulations
作者
发表日期2011
发表期刊IMA Journal of Applied Mathematics (Institute of Mathematics and Its Applications)
ISSN0272-4960
卷号76
期号5
页码650-660
摘要

One of the fundamental difficulties in micro-and nano-flow simulations is that the validity of the continuum assumption and the hydrodynamic equations start to become questionable in this flow regime. The lower-level kinetic/molecular alternatives are often either prohibitively expensive for practical purposes or poorly justified from a fundamental perspective. The lattice Boltzmann (LB) method, which originated from a simplistic Boolean kinetic model, has recently been shown to converge asymptotically to the continuum Boltzmann-Bhatnagar-Gross-Krook equation and therefore offers a theoretically sound and computationally effective approach for micro-and nano-flow simulations. In addition, its kinetic nature allows certain microscopic physics to be modelled at the macroscopic level, leading to a highly efficient model for multiphase flows with phase transitions. With the inherent computational advantages of a lattice model, e.g., the algorithm simplicity and parallelizability, the ease of handling complex geometry and so on, the LB method has found many applications in various areas of computational fluid dynamics and matured to the extent of commercial applications. In this article, I shall give an introduction to the LB method with the emphasis given to the theoretical justifications for its applications in micro-and nano-flow simulations. Some recent examples will also be reported. © 2011 The Author.

关键词kinetic theory lattice Boltzmann micro flow
DOI10.1093/imamat/hxr009
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收录类别SCIE
语种英语English
WOS研究方向Mathematics
WOS类目Mathematics, Applied
WOS记录号WOS:000295169200002
Scopus入藏号2-s2.0-80053281105
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被引频次:7[WOS]   [WOS记录]     [WOS相关记录]
文献类型评论文章
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/10647
专题个人在本单位外知识产出
通讯作者Shan, Xiaowen
作者单位
Exa Corporation,55 Network Drive,Burlington, MA 01803,United States
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Shan, Xiaowen. Lattice Boltzmann in micro-and nano-flow simulations. 2011.
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