TY  - BOOK
AU  - Inamuro,Takaji
AU  - Yoshino,Masato
AU  - Suzuki,Kosuke
TI  - Introduction to the Lattice Boltzmann method: a numerical method for complex boundary and moving boundary flows 
SN  - 9781944660246
U1  - 62-3 
PY  - 2022///
CY  - Hackensack, NJ
PB  - World Scientific
KW  - Viscous flow
KW  - Mathematical models
KW  - Boundary layer
KW  - Multiphase flow
KW  - Lattice Boltzmann methods
KW  - Acoutic time scale
KW  - Computational algorithm
N1  - Includes bibliographical references (pages 141-150) and index; Advanced undergraduate and graduate students, researchers and practitioners in the fields of fluid mechanics, engineering, computer science, and physics
N2  - The book introduces the fundamentals and applications of the lattice Boltzmann method (LBM) for incompressible viscous flows. It is written clearly and easy to understand for graduate students and researchers.

The book is organized as follows. In Chapter 1, the SRT- and MRT-LBM schemes are derived from the discrete Boltzmann equation for lattice gases and the relation between the LBM and the Navier-Stokes equation is explained by using the asymptotic expansion (not the Chapman-Enskog expansion). Chapter 2 presents the lattice kinetic scheme (LKS) which is an extension method of the LBM and can save memory because of needlessness for storing the velocity distribution functions. In addition, an improved LKS which can stably simulate high Reynolds number flows is presented. In Chapter 3, the LBM combined with the immersed boundary method (IB-LBM) is presented. The IB-LBM is well suitable for moving boundary flows. In Chapter 4, the two-phase LBM is explained from the point of view of the difficulty in computing two-phase flows with large density ratio. Then, a two-phase LBM for large density ratios is presented. In Appendix, sample codes (available for download) are given for users
UR  - https://www.worldscientific.com/doi/reader/10.1142/9789811240522_fmatter
UR  - https://www.goodreads.com/book/show/71753385-introduction-to-the-lattice-boltzmann-method-an?ref=nav_sb_ss_1_13#CommunityReviews
ER  -