Link-wise artificial compressibility method

被引:48
作者
Asinari, Pietro [1 ]
Ohwada, Taku [2 ]
Chiavazzo, Eliodoro [1 ]
Di Rienzo, Antonio F. [1 ]
机构
[1] Politecn Torino, Dipartimento Energia, I-10129 Turin, Italy
[2] Kyoto Univ, Grad Sch Engn, Dept Aeronaut & Astronaut, Kyoto 6068501, Japan
关键词
Artificial compressibility method (ACM); Lattice Boltzmann method (LBM); Complex boundaries; Incompressible Navier-Stokes equations; LATTICE BOLTZMANN EQUATIONS; SIMULATIONS; PERFORMANCE; MODELS; CAVITY; FLOWS;
D O I
10.1016/j.jcp.2012.04.027
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The artificial compressibility method (ACM) for the incompressible Navier-Stokes equations is (link-wise) reformulated (referred to as LW-ACM) by a finite set of discrete directions (links) on a regular Cartesian mesh, in analogy with the lattice Boltzmann method (LBM). The main advantage is the possibility of exploiting well established technologies originally developed for LBM and classical computational fluid dynamics, with special emphasis on finite differences (at least in the present paper), at the cost of minor changes. For instance, wall boundaries not aligned with the background Cartesian mesh can be taken into account by tracing the intersections of each link with the wall (analogously to LBM technology). LW-ACM requires no high-order moments beyond hydrodynamics (often referred to as ghost moments) and no kinetic expansion. Like finite difference schemes, only standard Taylor expansion is needed for analyzing consistency. Preliminary efforts towards optimal implementations have shown that LW-ACM is capable of similar computational speed as optimized (BGK-) LBM. In addition, the memory demand is significantly smaller than (BGK-) LBM. Importantly, with an efficient implementation, this algorithm may be among the few which are compute-bound and not memory-bound. Two-and three-dimensional benchmarks are investigated, and an extensive comparative study between the present approach and state of the art methods from the literature is carried out. Numerical evidences suggest that LW-ACM represents an excellent alternative in terms of simplicity, stability and accuracy. (C) 2012 Elsevier Inc. All rights reserved.
引用
收藏
页码:5109 / 5143
页数:35
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