Association Journal of CSIAM
Supervised by Ministry of Education of PRC
Sponsored by Xi'an Jiaotong University
ISSN 1005-3085  CN 61-1269/O1

Chinese Journal of Engineering Mathematics ›› 2019, Vol. 36 ›› Issue (4): 419-430.doi: 10.3969/j.issn.1005-3085.2019.04.005

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A Finite Element Variational Multiscale Method Based on Crank-Nicolson Scheme for the Unsteady Navier-Stokes Equations

XUE Ju-feng,  SHANG Yue-qiang   

  1. School of Mathematics and Statistic, Southwest University, Chongqing 400715
  • Received:2017-06-20 Accepted:2017-10-25 Online:2019-08-15 Published:2019-10-15
  • Contact: Y. Shang. E-mail address: yqshang@swu.edu.cn
  • Supported by:
    The National Natural Science Foundation of China (11361016).

Abstract: The incompressible viscous flows are fluid movements that do not change in density. They are used to describe many important physical phenomena such as weather, ocean currents, flow around airfoil, and blood flow within the arteries. The Navier-Stokes equations are the basic equations for incompressible viscous flows. Therefore, the numerical method for solving Navier-Stokes equations has been paid more and more attention in recent decades. In this paper, we mainly study a two-level fully discrete finite element variational multiscale method  based on Crank-Nicolson scheme for the unsteady Navier-Stokes equations. The method is carried out in two steps. A stabilized nonlinear Navier-Stokes system is solved on a coarse grid at the first step, and the second step is that a stabilized linear problem is solved on a fine grid to correct the coarse grid solution. Error estimate of the velocity which is derived via the two-level finite element variational multiscale method is of second-order in time. Numerical experiments show that the method of this paper can save a lot of computation time compared with the finite element variational method which uses a one-level grid directly on the fine grid in the case of coarse grid matching.

Key words: Navier-Stokes equations, two-grid method, Crank-Nicolson scheme, error estimate

CLC Number: