Home > Papers

 
 
An improved momentum exchanged-based immersed boundary-lattice Boltzmann method by using iterative technique
Hu Yang 1 #,Yuan Haizhuan 2,Shu Shi 2 *,Niu Xiaodong 2,Li Mingjun 2
1.School of Mathematics and Computational Science, Xiangtan University, HuNan Xiangtan 411105
2.School of Mathematics and Computational Science, Xiangtan University, Xiangtan,411105
*Correspondence author
#Submitted by
Subject:
Funding: National Natural Science Foundation of China(No.11171281,11201398), Specialized Research Fund for the Doctoral Program of Higher Educatio(No.20124301110003)
Opened online:15 August 2013
Accepted by: none
Citation: Hu Yang,Yuan Haizhuan,Shu Shi.An improved momentum exchanged-based immersed boundary-lattice Boltzmann method by using iterative technique[OL]. [15 August 2013] http://en.paper.edu.cn/en_releasepaper/content/4554453
 
 
In this paper a novel immersed boundary-lattice method (IB-LBM) is proposed to simulate incompressible viscous flows. On the basis of momentum exchanged-based IB-LBM, we introduce an iterative correction procedure to achieve our results. On the one hand, the present method can ensure the non-slip boundary condition is satisfied at the boundary points. On the other hand ,this version IB-LBM overcome the drawback that the numerical results of conventional IB-LBM is affected by the distribution of Lagrangian points, so this proposed method is robust. We also do some simple theoretical analysis for some issues. Numerical experiment for Taylor-Green vortices show that the present IB-LBM has second-order accuracy, and the the distribution of Lagrangian points has Little effects on L_2-errors. Numerical example for the flows around a circular shown that the non-slip boundary condition is better satisfied by using this method. Further the simulation results of have a good agreements with the previous literature.
Keywords:Computational Fluid Dynamics; Immersed boundary method; Lattice Bolzmann method; iterative technique; momentum exchange
 
 
 

For this paper

  • PDF (0B)
  • ● Revision 0   
  • ● Print this paper
  • ● Recommend this paper to a friend
  • ● Add to my favorite list

    Saved Papers

    Please enter a name for this paper to be shown in your personalized Saved Papers list

Tags

Add yours

Related Papers

Statistics

PDF Downloaded 292
Bookmarked 0
Recommend 5
Comments Array
Submit your papers