期刊文献+

Lattice Boltzmann Flux Solver:An Efficient Approach for Numerical Simulation of Fluid Flows 被引量:7

Lattice Boltzmann Flux Solver:An Efficient Approach for Numerical Simulation of Fluid Flows
下载PDF
导出
摘要 A lattice Boltzmann flux solver(LBFS)is presented for simulation of fluid flows.Like the conventional computational fluid dynamics(CFD)solvers,the new solver also applies the finite volume method to discretize the governing differential equations,but the numerical flux at the cell interface is not evaluated by the smooth function approximation or Riemann solvers.Instead,it is evaluated from local solution of lattice Boltzmann equation(LBE)at cell interface.Two versions of LBFS are presented in this paper.One is to locally apply one-dimensional compressible lattice Boltzmann(LB)model along the normal direction to the cell interface for simulation of compressible inviscid flows with shock waves.The other is to locally apply multi-dimensional LB model at cell interface for simulation of incompressible viscous and inviscid flows.The present solver removes the drawbacks of conventional lattice Boltzmann method(LBM)such as limitation to uniform mesh,tie-up of mesh spacing and time interval,limitation to viscous flows.Numerical examples show that the present solver can be well applied to simulate fluid flows with non-uniform mesh and curved boundary. A lattice Boltzmann flux solver (LBFS) is presented for simulation of fluid flows. Like the conventional computational fluid dynamics (CFD) solvers, the new solver also applies the finite volume method to discretize the governing differential equations, but the numerical flux at the cell interface is not evaluated by the smooth function approximation or Riemann solvers. Instead, it is evaluated from local solution of lattice Boltzmann equation (LBE) at cell interface. Two versions of LBFS are presented in this paper. One is to locally apply one-dimensional compressible lattice Boltzmann (LB) model along the normal direction to the cell interface for simulation of compressible inviscid flows with shock waves. The other is to locally apply multi-dimensional LB model at cell interface for simulation of incompressible viscous and inviscid flows. The present solver removes the drawbacks of conventional lattice Boltzmann method (LBM) such as limitation to uniform mesh, tie-up of mesh spacing and time interval, limitation to viscous flows. Numerical examples show that the present solver can be well applied to simulate fluid flows with non-uniform mesh and curved boundary.
出处 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 2014年第1期1-15,共15页 南京航空航天大学学报(英文版)
基金 Supported by the National Natural Science Foundation of China(11272153)
关键词 finite volume method flux solver compressible flow incompressible flow Navier-Stokes equation lattice Boltzmann equation finite volume method flux solvers compressible flow incompressible flow Navier-Stokes equation lattice Boltzmann equation
  • 相关文献

参考文献43

  • 1Roach P J. Computational fluid dynamics[M]. Hermosa Beach, USA, Hermosa Press, 1972.
  • 2Anderson D A, Tannehill J C, Pletcher R H. Computational fluid mechanics and heat transfer [M]. New York, USA, McGraw-Hill, 1984.
  • 3Hirsch C. Numerical computation of internal and external flows [M]. Hoboken, USA, John Wiley & Sons, 1988.
  • 4Fletcher C A J. Computational techniques for fluid dynamics, fundamental and general techniques [M]. Berlin, Germany, Springer-Verlag, 1991.
  • 5Anderson J D. Computational fluid dynamics, the basics with applications [M]. New York, USA, McGraw-Hill, 1995.
  • 6Versteeg H K, Malalasekera W. An introduction to computational fluid dynamics, the finite volume method[M]. Harlow, England, Longman Scientific & Technical, 1995.
  • 7Donea J, Huerta A. Finite element methods for flow problems[M]. Hoboken, USA, John Wiley, 2003.
  • 8Wendt J F. Computational fluid dynamics[M]. Berlin, Germany, Springer Berlin Heidelberg, 2009.
  • 9Funaro D. Polynomial approximation of differential equations [M]. Berlin, Germany, Springer-Verlag, 1992.
  • 10Buhmann M D. Radial basis functions, theory and implementations[M]. Cambridge University Press, 2003.

同被引文献21

引证文献7

二级引证文献9

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部