American Institute of Mathematical Sciences

Advanced
  • Previous Article
    Immunosuppressant treatment dynamics in renal transplant recipients: an iterative modeling approach
  • DCDS-B Home
  • This Issue
  • Next Article
    Long time behavior of fractional impulsive stochastic differential equations with infinite delay
June  2019, 24(6): 2745-2780. doi: 10.3934/dcdsb.2018273

H2-stability of some second order fully discrete schemes for the Navier-Stokes equations

Yinnian He 1,2, , Pengzhan Huang 2,, and  Jian Li 3,4,

1. 

School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an 710049, China
2. 

College of Mathematics and System Sciences, Xinjiang University, Urumqi 830046, China
3. 

Department of Mathematics, School of Arts and Sciences, Shaanxi University of Science and Technology, Xi'an 710021, China
4. 

Department of Mathematics, Baoji University of Arts and Sciences, Baoji 721013, China

* Corresponding author: Pengzhan Huang

Received  March 2018 Revised  May 2018 Published  October 2018

Fund Project: Supported by the Major Research and Development Program of China (Grant No.2016YFB0200901), the NSF of China (Grant Nos. 11861067, 11771348 and 11771259) and the NSF of Xinjiang Province (Grant No. 2017D01C052)

This paper considers the $H^2$-stability results for the second order fully discrete schemes based on the mixed finite element method for the 2D time-dependent Navier-Stokes equations with the initial data $u_0∈ H^α, $ where $α = 0, ~1$ and 2. A mixed finite element method is used to the spatial discretization of the Navier-Stokes equations, and the temporal treatments of the spatial discrete Navier-Stokes equations are the second order semi-implicit, implicit/explict and explicit schemes. The $H^2$-stability results of the schemes are provided, where the second order semi-implicit and implicit/explicit schemes are almost unconditionally $H^2$-stable, the second order explicit scheme is conditionally $H^2$-stable in the case of $\alpha = 2$, and the semi-implicit, implicit/explicit and explicit schemes are conditionally $H^2$-stable in the case of $\alpha = 1, ~0$. Finally, some numerical tests are made to verify the above theoretical results.

Keywords: Navier-Stokes equations, second order schemes, smooth or non-smooth initial data, $H^2$-stability, numerical tests.
Mathematics Subject Classification: 35Q30, 65N30.
Citation: Yinnian He, Pengzhan Huang, Jian Li. H2-stability of some second order fully discrete schemes for the Navier-Stokes equations. Discrete & Continuous Dynamical Systems - B, 2019, 24 (6) : 2745-2780. doi: 10.3934/dcdsb.2018273
References:
[1]

R. A. Adams, Sobolev Spaces, Academic Press, New York, 1975.  Google Scholar

[2]

A. Ait Ou Ammi and M. Marion, Nonlinear Galerkin methods and mixed finite elements: Two-grid algorithms for the Navier-Stokes equations, Numer. Math., 68 (1994), 189-213.  doi: 10.1007/s002110050056.  Google Scholar

[3]

D. N. Arnold, F. Brezzi and M. Fortin, A stable finite element for the Stokes equations, Calcolo, 21 (1984), 337-344.  doi: 10.1007/BF02576171.  Google Scholar

[4]

G. A. Baker, V. A. Dougalis and O. A. Karakashian, On a high order accurate fully discrete Galerkin approximation to the Navier-Stokes equations, Math. Comp., 39 (1982), 339-375.  doi: 10.1090/S0025-5718-1982-0669634-0.  Google Scholar

[5]

J. Bercovier and O. Pironneau, Error estimates for finite element solution of the Stokes problem in the primitive variables, Numer. Math., 33 (1979), 211-224.  doi: 10.1007/BF01399555.  Google Scholar

[6]

P. G. Ciarlet, The Finite Element Method for Elliptic Problems, North-Holland, Amsterdam, 1978.  Google Scholar

[7]

J. F. Gerbeau, C. Le Bris and T. Lelièvre, Mathematical Method for the Magnetohydrodynamics of Liquid Metals, Oxford University Press, Oxford, 2006. doi: 10.1093/acprof:oso/9780198566656.001.0001.  Google Scholar

[8]

V. Girault and P. A. Raviart, Finite Element Method for Navier-Stokes Equations: Theory and Algorithms, Springer-Verlag, Berlin, Heidelberg, 1986. doi: 10.1007/978-3-642-61623-5.  Google Scholar

[9]

Y. N. He and K. T. Li, Nonlinear Galerkin method and two-step method for the Navier-Stokes equations, Numer. Methods for PDEs, 12 (1996), 283-305.  doi: 10.1002/(SICI)1098-2426(199605)12:3<283::AID-NUM1>3.0.CO;2-K.  Google Scholar

[10]

Y. N. He and K. T. Li, Convergence and stability of finite element nonlinear Galerkin method for the Navier-Stokes equations, Numer. Math., 79 (1998), 77-106.  doi: 10.1007/s002110050332.  Google Scholar

[11]

Y. N. He, Two-level method based on finite element and Crank-Nicolson extrapolation for the time-dependent Navier-Stokes equations, SIAM J. Numer. Anal., 41 (2003), 1263-1285.  doi: 10.1137/S0036142901385659.  Google Scholar

[12]

Y. N. He, H. L. Miao, R. M. M. Mattheij and Z. X. Chen, Numerical analysis of a modified finite element nonlinear Galerkin method, Numer. Math., 97 (2004), 725-756.  doi: 10.1007/s00211-003-0516-3.  Google Scholar

[13]

Y. N. He, Stability and error analysis for a spectral Galerkin method for the Navier-Stokes equations with H2 or H1 initial data, Numer. Methods for PDEs, 21 (2005), 875-904.  doi: 10.1002/num.20065.  Google Scholar

[14]

Y. N. He, Optimal error estimate of the penalty finite element method for the time-dependent Navier-Stokes problem, Math. Comp., 74 (2005), 1201-1216.  doi: 10.1090/S0025-5718-05-01751-5.  Google Scholar

[15]

Y. N. He and K. M. Liu, A multi-level finite element method for the time-dependent Navier-Stokes equations, Numer. Methods for PDEs, 21 (2005), 1052-1068.   Google Scholar

[16]

Y. N. He and W. W. Sun, Stability and convegence of the Crank-Nicolson/Adams-Bashforth scheme for the time-dependent Navier-Stokes equations, SIAM J. Numer. Anal., 45 (2007), 837-869.  doi: 10.1137/050639910.  Google Scholar

[17]

Y. N. He, Stability and error analysis for a spectral Galerkin method for the Navier-Stokes equations with with L2 initial data, Numer. Methods for PDEs, 24 (2008), 79-103.  doi: 10.1002/num.20234.  Google Scholar

[18]

Y. N. He, Euler implicit/explicit scheme for the 2D time-dependent Navier-Stokes equations with smooth or non-smooth initial data, Math. Comp., 77 (2008), 2097-2124.  doi: 10.1090/S0025-5718-08-02127-3.  Google Scholar

[19]

Y. N. He, Stability and convegence of the Crank-Nicolson/Adams-Bashforth scheme for the time-dependent Navier-Stokes equations with non-smooth initial data, Numer. Methods for PDEs, 28 (2012), 155-187.  doi: 10.1002/num.20613.  Google Scholar

[20]

Y. N. He, P. Z. Huang and X. L. Feng, H2-stability of the first order finite element fully discrete schemes for the 2D time-dependent Navier-Stokes equations with smooth and non-smooth initial data, J. Sci. Comput., 62 (2015), 230-264.  doi: 10.1007/s10915-014-9854-9.  Google Scholar

[21]

J. G. Heywood and R. Rannacher, Finite-element approximations of the nonstationary Navier-Stokes problem. Part Ⅰ: Regularity of solutions and second-order spatial discretization, SIAM J. Numer. Anal., 19 (1982), 275-311.  doi: 10.1137/0719018.  Google Scholar

[22]

J. G. Heywood and R. Rannacher, Finite-element approximations of the nonstationary Navier-Stokes problem. Part Ⅳ: Error estimates for second-order time discretization, SIAM J. Numer. Anal., 27 (1990), 353-384.  doi: 10.1137/0727022.  Google Scholar

[23]

A. T. Hill and E. Süli, Approximation of the global attractor for the incompressible Navier-Stokes equations, IMA J. Numer. Anal., 20 (2000), 633-667.  doi: 10.1093/imanum/20.4.633.  Google Scholar

[24]

H. Johnston and J. G. Liu, Accurate, stable and efficient Navier-Stokes slovers based on explicit treatment of the pressure term, J. Comput. Phys., 199 (2004), 221-259.  doi: 10.1016/j.jcp.2004.02.009.  Google Scholar

[25]

J. Kim and P. Moin, Application of a fractional-step method to incompressible Navier-Stokes equations, J. Comput. Phys., 59 (1985), 308-323.  doi: 10.1016/0021-9991(85)90148-2.  Google Scholar

[26]

R. B. Kellogg and J. E. Osborn, A regularity result for the Stokes problem in a convex polygon, J. Functional Anal., 21 (1976), 397-431.  doi: 10.1016/0022-1236(76)90035-5.  Google Scholar

[27]

S. Larsson, The long-time behavior of finite-element approximations of solutions to semilinear parabolic problems, SIAM J. Numer. Anal., 26 (1989), 348-365.  doi: 10.1137/0726019.  Google Scholar

[28]

M. Marion and R. Temam, Navier-Stokes equations: Theory and approximation, in: Handbook of Numerical Analysis, Vol. Ⅵ, pp. 503–688, North-Holland, Amsterdam, 1998.  Google Scholar

[29]

J. Shen, Long time stability and convergence for fully discrete nonlinear Galerkin methods, Appl. Anal., 38 (1990), 201-229.  doi: 10.1080/00036819008839963.  Google Scholar

[30]

J. C. Simo and F. Armero, Unconditional stability and long-term behavior of transient algorithms for the incompressible Navier-Stokes and Euler equations, Comput. Methods Appl. Mech. Engrg., 111 (1994), 111-154.  doi: 10.1016/0045-7825(94)90042-6.  Google Scholar

[31]

R. Temam, Navier-Stokes Equations, Theory and Numerical Analysis, 3rd ed., North-Holland, Amsterdam, 1984.  Google Scholar

[32]

F. Tone, Error analysis for a second scheme for the Navier-Stokes equations, Appl. Numer. Math., 50 (2004), 93-119.  doi: 10.1016/j.apnum.2003.12.003.  Google Scholar

show all references

References:
[1]

R. A. Adams, Sobolev Spaces, Academic Press, New York, 1975.  Google Scholar

[2]

A. Ait Ou Ammi and M. Marion, Nonlinear Galerkin methods and mixed finite elements: Two-grid algorithms for the Navier-Stokes equations, Numer. Math., 68 (1994), 189-213.  doi: 10.1007/s002110050056.  Google Scholar

[3]

D. N. Arnold, F. Brezzi and M. Fortin, A stable finite element for the Stokes equations, Calcolo, 21 (1984), 337-344.  doi: 10.1007/BF02576171.  Google Scholar

[4]

G. A. Baker, V. A. Dougalis and O. A. Karakashian, On a high order accurate fully discrete Galerkin approximation to the Navier-Stokes equations, Math. Comp., 39 (1982), 339-375.  doi: 10.1090/S0025-5718-1982-0669634-0.  Google Scholar

[5]

J. Bercovier and O. Pironneau, Error estimates for finite element solution of the Stokes problem in the primitive variables, Numer. Math., 33 (1979), 211-224.  doi: 10.1007/BF01399555.  Google Scholar

[6]

P. G. Ciarlet, The Finite Element Method for Elliptic Problems, North-Holland, Amsterdam, 1978.  Google Scholar

[7]

J. F. Gerbeau, C. Le Bris and T. Lelièvre, Mathematical Method for the Magnetohydrodynamics of Liquid Metals, Oxford University Press, Oxford, 2006. doi: 10.1093/acprof:oso/9780198566656.001.0001.  Google Scholar

[8]

V. Girault and P. A. Raviart, Finite Element Method for Navier-Stokes Equations: Theory and Algorithms, Springer-Verlag, Berlin, Heidelberg, 1986. doi: 10.1007/978-3-642-61623-5.  Google Scholar

[9]

Y. N. He and K. T. Li, Nonlinear Galerkin method and two-step method for the Navier-Stokes equations, Numer. Methods for PDEs, 12 (1996), 283-305.  doi: 10.1002/(SICI)1098-2426(199605)12:3<283::AID-NUM1>3.0.CO;2-K.  Google Scholar

[10]

Y. N. He and K. T. Li, Convergence and stability of finite element nonlinear Galerkin method for the Navier-Stokes equations, Numer. Math., 79 (1998), 77-106.  doi: 10.1007/s002110050332.  Google Scholar

[11]

Y. N. He, Two-level method based on finite element and Crank-Nicolson extrapolation for the time-dependent Navier-Stokes equations, SIAM J. Numer. Anal., 41 (2003), 1263-1285.  doi: 10.1137/S0036142901385659.  Google Scholar

[12]

Y. N. He, H. L. Miao, R. M. M. Mattheij and Z. X. Chen, Numerical analysis of a modified finite element nonlinear Galerkin method, Numer. Math., 97 (2004), 725-756.  doi: 10.1007/s00211-003-0516-3.  Google Scholar

[13]

Y. N. He, Stability and error analysis for a spectral Galerkin method for the Navier-Stokes equations with H2 or H1 initial data, Numer. Methods for PDEs, 21 (2005), 875-904.  doi: 10.1002/num.20065.  Google Scholar

[14]

Y. N. He, Optimal error estimate of the penalty finite element method for the time-dependent Navier-Stokes problem, Math. Comp., 74 (2005), 1201-1216.  doi: 10.1090/S0025-5718-05-01751-5.  Google Scholar

[15]

Y. N. He and K. M. Liu, A multi-level finite element method for the time-dependent Navier-Stokes equations, Numer. Methods for PDEs, 21 (2005), 1052-1068.   Google Scholar

[16]

Y. N. He and W. W. Sun, Stability and convegence of the Crank-Nicolson/Adams-Bashforth scheme for the time-dependent Navier-Stokes equations, SIAM J. Numer. Anal., 45 (2007), 837-869.  doi: 10.1137/050639910.  Google Scholar

[17]

Y. N. He, Stability and error analysis for a spectral Galerkin method for the Navier-Stokes equations with with L2 initial data, Numer. Methods for PDEs, 24 (2008), 79-103.  doi: 10.1002/num.20234.  Google Scholar

[18]

Y. N. He, Euler implicit/explicit scheme for the 2D time-dependent Navier-Stokes equations with smooth or non-smooth initial data, Math. Comp., 77 (2008), 2097-2124.  doi: 10.1090/S0025-5718-08-02127-3.  Google Scholar

[19]

Y. N. He, Stability and convegence of the Crank-Nicolson/Adams-Bashforth scheme for the time-dependent Navier-Stokes equations with non-smooth initial data, Numer. Methods for PDEs, 28 (2012), 155-187.  doi: 10.1002/num.20613.  Google Scholar

[20]

Y. N. He, P. Z. Huang and X. L. Feng, H2-stability of the first order finite element fully discrete schemes for the 2D time-dependent Navier-Stokes equations with smooth and non-smooth initial data, J. Sci. Comput., 62 (2015), 230-264.  doi: 10.1007/s10915-014-9854-9.  Google Scholar

[21]

J. G. Heywood and R. Rannacher, Finite-element approximations of the nonstationary Navier-Stokes problem. Part Ⅰ: Regularity of solutions and second-order spatial discretization, SIAM J. Numer. Anal., 19 (1982), 275-311.  doi: 10.1137/0719018.  Google Scholar

[22]

J. G. Heywood and R. Rannacher, Finite-element approximations of the nonstationary Navier-Stokes problem. Part Ⅳ: Error estimates for second-order time discretization, SIAM J. Numer. Anal., 27 (1990), 353-384.  doi: 10.1137/0727022.  Google Scholar

[23]

A. T. Hill and E. Süli, Approximation of the global attractor for the incompressible Navier-Stokes equations, IMA J. Numer. Anal., 20 (2000), 633-667.  doi: 10.1093/imanum/20.4.633.  Google Scholar

[24]

H. Johnston and J. G. Liu, Accurate, stable and efficient Navier-Stokes slovers based on explicit treatment of the pressure term, J. Comput. Phys., 199 (2004), 221-259.  doi: 10.1016/j.jcp.2004.02.009.  Google Scholar

[25]

J. Kim and P. Moin, Application of a fractional-step method to incompressible Navier-Stokes equations, J. Comput. Phys., 59 (1985), 308-323.  doi: 10.1016/0021-9991(85)90148-2.  Google Scholar

[26]

R. B. Kellogg and J. E. Osborn, A regularity result for the Stokes problem in a convex polygon, J. Functional Anal., 21 (1976), 397-431.  doi: 10.1016/0022-1236(76)90035-5.  Google Scholar

[27]

S. Larsson, The long-time behavior of finite-element approximations of solutions to semilinear parabolic problems, SIAM J. Numer. Anal., 26 (1989), 348-365.  doi: 10.1137/0726019.  Google Scholar

[28]

M. Marion and R. Temam, Navier-Stokes equations: Theory and approximation, in: Handbook of Numerical Analysis, Vol. Ⅵ, pp. 503–688, North-Holland, Amsterdam, 1998.  Google Scholar

[29]

J. Shen, Long time stability and convergence for fully discrete nonlinear Galerkin methods, Appl. Anal., 38 (1990), 201-229.  doi: 10.1080/00036819008839963.  Google Scholar

[30]

J. C. Simo and F. Armero, Unconditional stability and long-term behavior of transient algorithms for the incompressible Navier-Stokes and Euler equations, Comput. Methods Appl. Mech. Engrg., 111 (1994), 111-154.  doi: 10.1016/0045-7825(94)90042-6.  Google Scholar

[31]

R. Temam, Navier-Stokes Equations, Theory and Numerical Analysis, 3rd ed., North-Holland, Amsterdam, 1984.  Google Scholar

[32]

F. Tone, Error analysis for a second scheme for the Navier-Stokes equations, Appl. Numer. Math., 50 (2004), 93-119.  doi: 10.1016/j.apnum.2003.12.003.  Google Scholar

Figure 1.  The energy computed by semi-implicit scheme (left) and explicit scheme (right) based on several different time steps chosen with $u_0(x, y)\in H^2.$
Figure Options

Download full-size image

Download as PowerPoint slide

Figure 2.  The energy computed by semi-implicit scheme (left) and explicit scheme (right) based on several different time steps chosen with $u_0(x, y)\in H^1.$
Figure Options

Download full-size image

Download as PowerPoint slide

Figure 3.  The energy computed by semi-implicit scheme (left) and explicit scheme (right) based on several different time steps chosen with $u_0(x, y)\in H^0.$
Figure Options

Download full-size image

Download as PowerPoint slide

Table 1.  The errors based on the semi-implicit scheme with $u_0(x, y)\in H^2.$
$\tau$ 0.005 0.01 0.02 0.05 0.5
$ {\| u- u_{h}^n \|_0} $ 1.753E$-4$ 1.752E$-4$ 1.752E$-4$ 1.842E$-4$ 5.788E$-4$
$ {\| \nabla(u- u_{h}^n)\|_0} $ 7.330E$-3$ 7.330E$-3$ 7.331E$-3$ 8.480E$-3$ 8.917E$-3$
$ {\| p- p_{h}^n \|_0} $ 1.166E$-2$ 1.839E$-2$ 3.357E$-2$ 8.126E$-2$ 8.204E$-1$
Table Options

Download as excel

$\tau$ 0.005 0.01 0.02 0.05 0.5
$ {\| u- u_{h}^n \|_0} $ 1.753E$-4$ 1.752E$-4$ 1.752E$-4$ 1.842E$-4$ 5.788E$-4$
$ {\| \nabla(u- u_{h}^n)\|_0} $ 7.330E$-3$ 7.330E$-3$ 7.331E$-3$ 8.480E$-3$ 8.917E$-3$
$ {\| p- p_{h}^n \|_0} $ 1.166E$-2$ 1.839E$-2$ 3.357E$-2$ 8.126E$-2$ 8.204E$-1$
Table 2.  The errors based on the implicit/explicit scheme with $u_0(x, y)\in H^2.$
$\tau$ 0.005 0.01 0.02 0.05 0.5
$ {\| u- u_{h}^n \|_0} $ 1.753E$-4$ 1.752E$-4$ 1.752E$-4$ 1.842E$-4$ 5.925E$-4$
$ {\| \nabla(u- u_{h}^n)\|_0} $ 7.330E$-3$ 7.330E$-3$ 7.331E$-3$ 8.480E$-3$ 9.291E$-3$
$ {\| p- p_{h}^n \|_0} $ 1.166E$-2$ 1.839E$-2$ 3.357E$-2$ 8.126E$-2$ 8.204E$-1$
Table Options

Download as excel

$\tau$ 0.005 0.01 0.02 0.05 0.5
$ {\| u- u_{h}^n \|_0} $ 1.753E$-4$ 1.752E$-4$ 1.752E$-4$ 1.842E$-4$ 5.925E$-4$
$ {\| \nabla(u- u_{h}^n)\|_0} $ 7.330E$-3$ 7.330E$-3$ 7.331E$-3$ 8.480E$-3$ 9.291E$-3$
$ {\| p- p_{h}^n \|_0} $ 1.166E$-2$ 1.839E$-2$ 3.357E$-2$ 8.126E$-2$ 8.204E$-1$
Table 3.  The energy based on the implicit/explicit scheme with $u_0(x, y)\in H^2.$
$t$ 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5
$ \tau=0.5 $ 2.935 0.579 0.1638 0.873 1.423 3.564 2.019 1.740 0.082 0.140
$ \tau=0.05 $ 3.512 1.641 0.379 0.475 1.537 2.391 2.158 1.048 0.133 0.332
$ \tau=0.02$ 1.886 1.035 0.038 0.467 1.754 2.654 2.378 1.158 0.121 0.218
$ \tau=0.01$ 2.152 0.792 0.014 0.469 1.739 2.655 2.376 1.157 0.120 0.218
$ \tau=0.005$ 2.086 0.791 0.014 0.469 1.739 2.655 2.376 1.157 0.120 0.218
Table Options

Download as excel

$t$ 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5
$ \tau=0.5 $ 2.935 0.579 0.1638 0.873 1.423 3.564 2.019 1.740 0.082 0.140
$ \tau=0.05 $ 3.512 1.641 0.379 0.475 1.537 2.391 2.158 1.048 0.133 0.332
$ \tau=0.02$ 1.886 1.035 0.038 0.467 1.754 2.654 2.378 1.158 0.121 0.218
$ \tau=0.01$ 2.152 0.792 0.014 0.469 1.739 2.655 2.376 1.157 0.120 0.218
$ \tau=0.005$ 2.086 0.791 0.014 0.469 1.739 2.655 2.376 1.157 0.120 0.218
Table 4.  The errors based on the semi-implicit scheme with $u_0(x, y)\in H^1.$
$\tau$ 0.0005 0.005 0.05 0.5
$ {\| u- u_{h}^n \|_0} $ 1.894E$-4$ 1.894E$-4$ 1.980E$-4$ 4.376E$-4$
$ {\| \nabla(u- u_{h}^n)\|_0} $ 6.442E$-3$ 6.442E$-3$ 7.719E$-3$ 8.131E$-3$
$ {\| p- p_{h}^n \|_0} $ 8.554E$-3$ 1.355E$-2$ 8.366E$-2$ 8.208E$-1$
Table Options

Download as excel

$\tau$ 0.0005 0.005 0.05 0.5
$ {\| u- u_{h}^n \|_0} $ 1.894E$-4$ 1.894E$-4$ 1.980E$-4$ 4.376E$-4$
$ {\| \nabla(u- u_{h}^n)\|_0} $ 6.442E$-3$ 6.442E$-3$ 7.719E$-3$ 8.131E$-3$
$ {\| p- p_{h}^n \|_0} $ 8.554E$-3$ 1.355E$-2$ 8.366E$-2$ 8.208E$-1$
Table 5.  The errors based on the implicit/explicit scheme with $u_0(x, y)\in H^1.$
$\tau$ 0.0005 0.005 0.05 0.5
$ {\| u- u_{h}^n \|_0} $ 1.894E$-4$ 1.894E$-4$ 1.980E$-4$ 4.564E$-4$
$ {\| \nabla(u- u_{h}^n)\|_0} $ 6.442E$-3$ 6.442E$-3$ 7.718E$-3$ 8.541E$-3$
$ {\| p- p_{h}^n \|_0} $ 8.554E$-3$ 1.355E$-2$ 8.366E$-2$ 8.208E$-1$
Table Options

Download as excel

$\tau$ 0.0005 0.005 0.05 0.5
$ {\| u- u_{h}^n \|_0} $ 1.894E$-4$ 1.894E$-4$ 1.980E$-4$ 4.564E$-4$
$ {\| \nabla(u- u_{h}^n)\|_0} $ 6.442E$-3$ 6.442E$-3$ 7.718E$-3$ 8.541E$-3$
$ {\| p- p_{h}^n \|_0} $ 8.554E$-3$ 1.355E$-2$ 8.366E$-2$ 8.208E$-1$
Table 6.  The energy based on the implicit/explicit scheme with $u_0(x, y)\in H^1.$
$t$ 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5
$ \tau=0.5 $ 2.627 0.516 0.156 0.798 1.248 3.217 1.768 1.587 0.073 0.120
$ \tau=0.05 $ 3.219 1.523 0.373 0.437 1.370 2.125 1.919 0.934 0.124 0.303
$ \tau=0.005$ 1.856 0.704 0.012 0.417 1.546 2.362 2.114 1.030 0.112 0.194
$ \tau=0.0005$ 1.857 0.704 0.012 0.417 1.546 2.362 2.114 1.030 0.107 0.194
Table Options

Download as excel

$t$ 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5
$ \tau=0.5 $ 2.627 0.516 0.156 0.798 1.248 3.217 1.768 1.587 0.073 0.120
$ \tau=0.05 $ 3.219 1.523 0.373 0.437 1.370 2.125 1.919 0.934 0.124 0.303
$ \tau=0.005$ 1.856 0.704 0.012 0.417 1.546 2.362 2.114 1.030 0.112 0.194
$ \tau=0.0005$ 1.857 0.704 0.012 0.417 1.546 2.362 2.114 1.030 0.107 0.194
Table 7.  The errors based on the semi-implicit scheme with $u_0(x, y)\in H^0.$
$\tau$ 0.0005 0.005 0.05 0.5
$ {\| u- u_{h}^n \|_0} $ 2.979E$-3$ 2.979E$-3$ 2.977E$-3$ 3.768E$-3$
$ {\| \nabla(u- u_{h}^n)\|_0} $ 3.474E$-2$ 3.474E$-2$ 3.492E$-2$ 3.589E$-2$
$ {\| p- p_{h}^n \|_0} $ 2.847E$-2$ 2.204E$-2$ 5.737E$-2$ 8.168E$-1$
Table Options

Download as excel

$\tau$ 0.0005 0.005 0.05 0.5
$ {\| u- u_{h}^n \|_0} $ 2.979E$-3$ 2.979E$-3$ 2.977E$-3$ 3.768E$-3$
$ {\| \nabla(u- u_{h}^n)\|_0} $ 3.474E$-2$ 3.474E$-2$ 3.492E$-2$ 3.589E$-2$
$ {\| p- p_{h}^n \|_0} $ 2.847E$-2$ 2.204E$-2$ 5.737E$-2$ 8.168E$-1$
Table 8.  The errors based on the implicit/explicit scheme with $u_0(x, y)\in H^0.$
$\tau$ 0.0005 0.005 0.05 0.5
$ {\| u- u_{h}^n \|_0} $ 2.979E$-3$ 2.979E$-3$ 2.977E$-3$ 3.768E$-3$
$ {\| \nabla(u- u_{h}^n)\|_0} $ 3.474E$-2$ 3.474E$-2$ 3.492E$-2$ 3.599E$-2$
$ {\| p- p_{h}^n \|_0} $ 2.847E$-2$ 2.204E$-2$ 5.737E$-2$ 8.168E$-1$
Table Options

Download as excel

$\tau$ 0.0005 0.005 0.05 0.5
$ {\| u- u_{h}^n \|_0} $ 2.979E$-3$ 2.979E$-3$ 2.977E$-3$ 3.768E$-3$
$ {\| \nabla(u- u_{h}^n)\|_0} $ 3.474E$-2$ 3.474E$-2$ 3.492E$-2$ 3.599E$-2$
$ {\| p- p_{h}^n \|_0} $ 2.847E$-2$ 2.204E$-2$ 5.737E$-2$ 8.168E$-1$
Table 9.  The energy based on the implicit/explicit scheme with $u_0(x, y)\in H^0.$
$t$ 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5
$ \tau=0.5 $ 30.267 4.347 1.423 9.108 12.374 36.539 18.046 17.898 0.223 0.714
$ \tau=0.05 $ 20.143 7.701 0.409 5.202 17.862 26.862 23.947 11.731 1.319 2.133
$ \tau=0.005$ 20.510 7.750 0.128 4.653 17.166 26.162 23.370 11.358 1.168 2.170
$ \tau=0.0005$ 20.512 7.750 0.128 4.653 17.166 26.162 23.370 11.357 1.168 2.170
Table Options

Download as excel

$t$ 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5
$ \tau=0.5 $ 30.267 4.347 1.423 9.108 12.374 36.539 18.046 17.898 0.223 0.714
$ \tau=0.05 $ 20.143 7.701 0.409 5.202 17.862 26.862 23.947 11.731 1.319 2.133
$ \tau=0.005$ 20.510 7.750 0.128 4.653 17.166 26.162 23.370 11.358 1.168 2.170
$ \tau=0.0005$ 20.512 7.750 0.128 4.653 17.166 26.162 23.370 11.357 1.168 2.170
[1]

Joel Avrin. Global existence and regularity for the Lagrangian averaged Navier-Stokes equations with initial data in $H^{1//2}$. Communications on Pure & Applied Analysis, 2004, 3 (3) : 353-366. doi: 10.3934/cpaa.2004.3.353
[2]

Roberto Triggiani. Sharp regularity theory of second order hyperbolic equations with Neumann boundary control non-smooth in space. Evolution Equations & Control Theory, 2016, 5 (4) : 489-514. doi: 10.3934/eect.2016016
[3]

Paul Glendinning. Non-smooth pitchfork bifurcations. Discrete & Continuous Dynamical Systems - B, 2004, 4 (2) : 457-464. doi: 10.3934/dcdsb.2004.4.457
[4]

Qi S. Zhang. An example of large global smooth solution of 3 dimensional Navier-Stokes equations without pressure. Discrete & Continuous Dynamical Systems - A, 2013, 33 (11&12) : 5521-5523. doi: 10.3934/dcds.2013.33.5521
[5]

Jianhua Huang, Wenxian Shen. Pullback attractors for nonautonomous and random parabolic equations on non-smooth domains. Discrete & Continuous Dynamical Systems - A, 2009, 24 (3) : 855-882. doi: 10.3934/dcds.2009.24.855
[6]

Guangrong Wu, Ping Zhang. The zero diffusion limit of 2-D Navier-Stokes equations with $L^1$ initial vorticity. Discrete & Continuous Dynamical Systems - A, 1999, 5 (3) : 631-638. doi: 10.3934/dcds.1999.5.631
[7]

Giuseppe Tomassetti. Smooth and non-smooth regularizations of the nonlinear diffusion equation. Discrete & Continuous Dynamical Systems - S, 2017, 10 (6) : 1519-1537. doi: 10.3934/dcdss.2017078
[8]

Luis Bayón, Jose Maria Grau, Maria del Mar Ruiz, Pedro Maria Suárez. A hydrothermal problem with non-smooth Lagrangian. Journal of Industrial & Management Optimization, 2014, 10 (3) : 761-776. doi: 10.3934/jimo.2014.10.761
[9]

Yuming Qin, Lan Huang, Zhiyong Ma. Global existence and exponential stability in $H^4$ for the nonlinear compressible Navier-Stokes equations. Communications on Pure & Applied Analysis, 2009, 8 (6) : 1991-2012. doi: 10.3934/cpaa.2009.8.1991
[10]

Alexandre Caboussat, Roland Glowinski. A Numerical Method for a Non-Smooth Advection-Diffusion Problem Arising in Sand Mechanics. Communications on Pure & Applied Analysis, 2009, 8 (1) : 161-178. doi: 10.3934/cpaa.2009.8.161
[11]

Huicheng Yin, Lin Zhang. The global existence and large time behavior of smooth compressible fluid in an infinitely expanding ball, Ⅱ: 3D Navier-Stokes equations. Discrete & Continuous Dynamical Systems - A, 2018, 38 (3) : 1063-1102. doi: 10.3934/dcds.2018045
[12]

Michele Campiti, Giovanni P. Galdi, Matthias Hieber. Global existence of strong solutions for $2$-dimensional Navier-Stokes equations on exterior domains with growing data at infinity. Communications on Pure & Applied Analysis, 2014, 13 (4) : 1613-1627. doi: 10.3934/cpaa.2014.13.1613
[13]

Julia García-Luengo, Pedro Marín-Rubio, José Real. Regularity of pullback attractors and attraction in $H^1$ in arbitrarily large finite intervals for 2D Navier-Stokes equations with infinite delay. Discrete & Continuous Dynamical Systems - A, 2014, 34 (1) : 181-201. doi: 10.3934/dcds.2014.34.181
[14]

Ciprian G. Gal, Mahamadi Warma. Reaction-diffusion equations with fractional diffusion on non-smooth domains with various boundary conditions. Discrete & Continuous Dynamical Systems - A, 2016, 36 (3) : 1279-1319. doi: 10.3934/dcds.2016.36.1279
[15]

Pablo Ochoa. Approximation schemes for non-linear second order equations on the Heisenberg group. Communications on Pure & Applied Analysis, 2015, 14 (5) : 1841-1863. doi: 10.3934/cpaa.2015.14.1841
[16]

Hongwei Lou, Junjie Wen, Yashan Xu. Time optimal control problems for some non-smooth systems. Mathematical Control & Related Fields, 2014, 4 (3) : 289-314. doi: 10.3934/mcrf.2014.4.289
[17]

Yanni Xiao, Tingting Zhao, Sanyi Tang. Dynamics of an infectious diseases with media/psychology induced non-smooth incidence. Mathematical Biosciences & Engineering, 2013, 10 (2) : 445-461. doi: 10.3934/mbe.2013.10.445
[18]

Nicola Gigli, Sunra Mosconi. The Abresch-Gromoll inequality in a non-smooth setting. Discrete & Continuous Dynamical Systems - A, 2014, 34 (4) : 1481-1509. doi: 10.3934/dcds.2014.34.1481
[19]

Constantin Christof, Christian Meyer, Stephan Walther, Christian Clason. Optimal control of a non-smooth semilinear elliptic equation. Mathematical Control & Related Fields, 2018, 8 (1) : 247-276. doi: 10.3934/mcrf.2018011
[20]

Salvatore A. Marano, Sunra Mosconi. Non-smooth critical point theory on closed convex sets. Communications on Pure & Applied Analysis, 2014, 13 (3) : 1187-1202. doi: 10.3934/cpaa.2014.13.1187

2018 Impact Factor: 1.008

Tools

Metrics

  • PDF downloads (85)
  • HTML views (546)
  • Cited by (0)

Other articles
by authors

[Back to Top]

Copyright © 2019 American Institute of Mathematical Sciences