基于Chapman—Enskog展开,本文提出了多尺度过程界面耦合的LBM/NS重构算子,将该重构算子用于格子-Boltzmann方法(LBM)和人工压缩方法(ACM)耦合计算中,提出了基于多尺度重构算子的LBM和ACM界面耦合方法。为检验该耦合方法,将其用于模拟双周期剪切层流动和多孔介质流体混合层流动模拟中,数值结果表明LBM与ACM耦合方法可以准确模拟非稳态流动问题和捕捉局部小尺度区域的细节流动特征。
Based on Chapman-Enskog expansion, a reconstruction operator of multiscale progress is proposed and applied to the algorithm coupling the lattice Boltzmann method (LBM) and artificial compressible method (ACM). The coupling algorithm is validated by simulating a doubly periodic shear layer flow and fluid flow in porous media. The numerical results are in good agreement with benchmarks and show that the proposed method can accurately simulate the unsteady flows and capture local details of complex multi-scale flows.