My research work in this direction is focused on the subject of
CFD (computational fluid dynamics), which is the design
and analysis of numerical methods to approximate incompressible
flow as described by the Navier-Stokes Equations (NSE).
There has been a tremendous amount of work on this subject in
the past. Some well-known difficulties,
such as enforcement of the incompressibility constraint,
lack of a dynamic equation and a boundary condition for
the pressure, and implementation of the vorticity boundary condition,
have existed for both the primitive variable
formulation and the vorticity formulation.
In addition, one faces serious challenges in dealing with a flow
with a high Reynolds number, due to the sharp gradient of the flow,
lack of resolution and inefficiency
of the numerical scheme. Furthermore, the application
of many classical high order methods (such as spectral methods)
to a numerical example with a non-periodic boundary condition may lead to
a high computational cost, and spurious effects are often observed.
Stability presents another big concern for these classical approaches.
In a sequence of my articles, new approaches were proposed
and implemented to overcome
the above-mentioned difficulties. In particular, the proposed
numerical schemes avoid a Stokes solver, using
only a Poisson solver at each time step (stage).
As a result, these schemes are highly efficient and are capable of
producing highly resolved solutions for
complicated structural transitions of the flow at a reasonable
computational cost.
Moreover, spurious effects or numerical
artifacts around the boundary, due to the stability and accuracy
of the scheme, are not observed.
Similar ideas can be applied to deal with geophysical flows,
such as the Primitive Equations (PEs) and
the Planetary Geostrophic Equations (PGEs),
and the 3-D Quasi-Geostrophic equations (QGEs).
These models represent the fundamental governing equations for
atmospheric and oceanic flow under different physical scales.
A special property for the horizontal velocity field, which is a
nonlocal constraint, reflects the fact that the flow with large scale or
mesoscale is essentially two-dimensional.
This makes possible the efficient solution of these equations
avoiding the numerical difficulties which typically arise in
three-dimensional flows.
The PEs can be formulated in either surface pressure Poisson
equation or mean vorticity. Both 3-D staggered MAC
(marker and cell) grids and regular numerical
grids are extensively discussed, with both second
and fourth order accuracy.
The PGEs with inviscid geostrophic balance are formulated in
an alternate form.
Moreover, collocation spectral methods can be applied to deal with
GFD models, with a careful treatment of hydrostatic and geostrophic
balance equations. The purpose for utilizing these high order methods is
to improve the accuracy within the limited resolution
due to the enormous scale of the three-dimensional setting.
The calculation of thermocline evolution in large
scale oceanic motion was also undertaken.
Direct impacts of the numerical methods include more
detailed simulation of weather systems (both global and local),
and more efficient use of supercomputer resources.
If successful, a better understanding of the detailed process
of weather dynamics is expected due to the efficiency of the
reformulations and the high accuracy and stability of the
proposed methods.
As another application, these numerical schemes can be used to
study the structural stability and bifurcation of
incompressible fluid. Solutions of the incompressible fluid equations
in different physical
formulations, either NSE, Boussinesq equations, or other physical
models, can be viewed as one-parameter families
of divergence-free vector fields with time as the parameter.
The structural analyses of divergence-free velocity vector fields,
including topological equivalence classes, stability conditions,
and structural bifurcation criterion,
have attracted much attention. Such analyses can be carried out
both theoretically and numerically. Some theoretical results were
recently obtained in related references.
My work in this direction is focused
to a detailed numerical study of both structural
stability and structural bifurcation, i.e., change of topological
equivalence class, for 2-D incompressible flow
under different physical set-ups.
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1. Convergence of gauge method for incompressible flow.
C. Wang, J.-G. Liu, Mathematics of Computation,
69, (2000), 1385-1407.
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2. Analysis of finite difference schemes for unsteady
Navier-Stokes equations in vorticity formulation.
C. Wang, J.-G. Liu, Numerische Mathematik, 91, (2002), 543-576.
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3. A fourth order scheme for incompressible
Boussinesq equations.
J.-G. Liu, C. Wang, H. Johnston,
Journal of Scientific Computing, 18, (2003), 253-285.
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4. Positivity property of second order flux-splitting schemes
of compressible Euler equations.
C. Wang, J.-G. Liu, Discrete and Continuous
Dynamical Systems-Series B, 3, (2003), 201-228.
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5. A fast finite difference method for solving Navier-Stokes
equations on irregular domains.
Z. Li, C. Wang, Communications in Mathematical Sciences,
1, (2003), 181-197.
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6. Fourth order convergence of compact difference solver
for incompressible flow.
C. Wang, J.-G. Liu, Communications in Applied Analysis,
7, (2003), 171-191.
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7. Surface pressure Poisson equation formulation
of the primitive equations: Numerical schemes.
R. Samelson, R. Temam, C. Wang, S. Wang,
SIAM Journal of Numerical Analysis, 41, (2003), 1163-1194.
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8. The primitive equations formulated in mean vorticity.
C. Wang, Discrete and Continuous Dynamical Systems,
Proceeding of ``International Conference on
Dynamical Systems and Differential Equations'', 2003, 880-887.
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9. High order finite difference methods for unsteady
incompressible flows in multi-connected domains.
J.-G. Liu, C. Wang, Computers and Fluids, 33, (2004), 223-255.
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10. Analysis of a fourth order finite difference
method for incompressible Boussinesq equations.
C. Wang, J.-G. Liu, H. Johnston,
Numerische Mathematik, 97, (2004), 555-594.
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11. Convergence analysis of the numerical method for the
primitive equations formulated in mean vorticity on
a Cartesian grid.
C. Wang, Discrete and Continuous Dynamical Systems-Series B,
4, (2004), 1143-1172.
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12. Boundary-layer separation and adverse pressure gradient for
2-D viscous incompressible flow.
M. Ghil, J.-G. Liu, C. Wang, S. Wang,
Physica D, 197, (2004), 149-173.
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13. Global weak solution of the planetary
geostrophic equations with inviscid geostrophic balance
J. Liu, R. Samelson, C. Wang,
Applicable Analysis, 85, (2006), 593-606.
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14. A fourth order numerical method for the planetary
geostrophic equations with inviscid geostrophic balance.
R. Samelson, R. Temam, C. Wang, S. Wang,
Numerische Mathematik, 107, (2007), 669-705.
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15. A fourth order numerical method for the
primitive equations formulated in mean vorticity.
with J.-G. Liu, C. Wang,
Communications in Computational Physics, 4, (2008), 26-55.
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16. A fourth order difference scheme for the
Maxwell equations on Yee grid.
A. Fathy, C. Wang, J. Wilson, S. Yang,
Journal of Hyperbolic Differential Equations,
5, (2008), 613-642
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17. A general stability condition for multi-stage
vorticity boundary conditions in incompressible fluids.
C. Wang, Methods and Applications of Analysis,
15, (2008), 469-476.
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18. Structural stability and bifurcation for 2-D
divergence-free vector with symmetry.
C. Hsia, J.-G. Liu, C. Wang,
Methods and Applications of Analysis,
15, (2008), 495-512.
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19. Long time stability of a classical efficient
scheme for two dimensional Navier-Stokes equations.
S. Gottlieb, F. Tone, C. Wang, X. Wang, D. Wirosoetisno,
SIAM Journal on Numerical Analysis,
50, (2012), 126-150.
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20. Stability and convergence analysis of
fully discrete Fourier collocation spectral method
for 3-D viscous Burgers' equation.
S. Gottlieb, C. Wang,
Journal of Scientific Computing,
53, (2012), 102-128.
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21. A local pressure boundary condition spectral
collocation scheme for the three-dimensional
Navier-Stokes equations.
H. Johnston, C. Wang, J.-G. Liu,
Journal of Scientific Computing,
60, (2014), 612-626.
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22. A Fourier pseudospectral method
for the ``Good" Boussinesq equation with
second-order temporal accuracy.
K. Cheng, W. Feng, S. Gottlieb, C. Wang,
Numerical Methods for Partial Differential Equations,
31, (2015), 202-224.
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23. Simple finite element numerical simulation of incompressible flow over non-rectangular domains and the super-convergence analysis.
Y. Xue, C. Wang, J.-G. Liu, Journal of Scientific Computing, 65 (2015), 1189-1216.
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24. Long time stability of high order multi-step numerical schemes for two-dimensional incompressible Navier-Stokes equations.
K. Cheng, C. Wang, SIAM Journal on Numerical Analysis, 54 (2016), 3123-3144.
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25. A second order operator splitting numerical scheme for the ``Good" Boussinesq equation.
C. Zhang, H. Wang, J. Huang, C. Wang, X. Yue, Applied Numerical Mathematics, 119 (2017), 179-193.
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26. On the operator splitting and integral equation preconditioned deferred correction methods for the ``Good" Boussinesq equation.
C. Zhang, J. Huang, C. Wang, X. Yue, Journal of Scientific Computing, 75 (2018), 687-712.
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27. A second order numerical scheme for the annealing of metallic-intermetallic laminate composite: a ternary reaction system.
S. Zhou, Y. Wang, X. Yue, C. Wang, Journal of Computational Physics, 374 (2018), 1044-1060.
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28. Numerical methods for porous medium equation by an energetic variational approach.
C. Duan, C. Liu, C. Wang, X. Yue, Journal of Computational Physics, 385, (2019), 13-32.
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29. Numerical complete solution for random genetic drift by energetic variational approach.
C. Duan, C. Liu, C. Wang, X. Yue, Mathematical Modeling and Numerical Analysis, 53, (2019), 615-634.
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30. Second-order semi-implicit projection methods for micromagnetics simulations.
C. Xie, C.J. Garcia-Cervera, C. Wang, Z. Zhou, Journal of Computational Physics, 404, (2020), 109104.
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31. Convergence analysis of a numerical Scheme for the porous medium equation by an energetic variational approach.
C. Duan, C. Liu, C. Wang, X. Yue, Numerical Mathematics: Theory, Methods and Applications, 13 (2020), 63-80.
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32. Convergence analysis of a second-order semi-implicit projection method for Landau-Lifshiz equation.
J. Chen, C. Wang, C. Xie, Applied Numerical Mathematics, 168 (2021), 55-74.
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33. High order accurate in time, fourth order finite difference schemes for the harmonic mapping flow.
Z. Xia, C. Wang, L. Xu, Z. Zhang, Journal of Computational and Applied Mathematics, 401, (2022), 113766.
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34. Convergence analysis of Fourier pseudo-spectral schemes for three-dimensional incompressible Navier-Stokes equations.
C. Wang, Electronic Research Archives, 29 (5) (2021), 2915-2944.
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35. A second-order numerical method for Landau-Lifshitz-Gilbert equation with large damping parameters.
Y. Cai, J. Chen, C. Wang, C. Xie, Journal of Computational Physics, 451 (2022), 110831.
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36. Convergence analysis of structure-preserving numerical methods for nonlinear Fokker-Planck equations with nonlocal interactions.
C. Duan, W. Chen, C. Liu, C. Wang, S. Zhou, Mathematical Methods in the Applied Sciences, 45 (7) (2022), 3764-3781.
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37. A second order accurate, energy stable numerical scheme for porous medium equation by an energetic variational approach.
C. Duan, W. Chen, C. Liu, C. Wang, X. Yue, Communications in Mathematical Sciences, 20 (4) (2021), 976-1024.
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38. Optimal error estimates of a second-order projection finite element method for magnetohydrodynamic equations.
C. Wang, J. Wang, Z. Xia, L. Xu, Mathematical Modeling and Numerical Analysis, 56 (3) (2022), 767-789.
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39. Exponential time differencing-Pade finite element method for nonlinear convection-diffusion-reaction equations with time constant delay.
H. Dai, Q. Huang, C. Wang, Journal of Computational Mathematics, 41 (3) (2023), 350-374.
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40. Advantages of a semi-implicit scheme over a fully implicit scheme for Landau-Lifshitz-Gilbert equation.
Y. Sun, J. Chen, R. Du, C. Wang, Discrete and Continuous Dynamical Systems-Series B, 28 (9) (2023), 5105-5122.
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41. Error analysis of a linear numerical scheme for the Landau-Lifshitz equation with large damping parameters.
Y. Cai, J. Chen, C. Wang, C. Xie, Mathematical Methods in the Applied Sciences, 46 (2023), 18952-18974.
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42. Implicit-explicit Runge-Kutta methods for Landau-Lifshitz equation with arbitrary damping.
Y. Gui, C. Wang, J. Chen, Communications in Mathematical Sciences, 22 (5) (2024), 1397-1425.
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43. Convergence analysis of an implicit finite difference method for the inertial Landau-Lifshitz-Gilbert equation.
J. Chen, P. Li, C. Wang, Journal of Scientific Computing, 101 (2024), 48.
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44. Convergence analysis of a BDF finite element method for the resistive MHD equations.
L. Ma, C. Wang, Z. Xia, Advances in Applied Mathematics and Mechanics, (2024), accepted and in press.
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45. A third-order implicit-explicit Runge-Kutta method for Landau-Lifshitz equation with arbitrary damping parameters.
Y. Gui, R. Du, C. Wang, Numerical Mathematics: Theory, Methods and Applications, (2024), accepted and in press.
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46. A third order accurate in time, linear numerical scheme for the Landau-Lifshitz equation.
Y. Cai, J. Chen, C. Wang, C. Xie, (2024), in preparation.
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47. High order accurate numerical scheme for a system of reaction diffusion equation.
T. Ferreira, A. Heryudono, C. Wang, (2024), in preparation.
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48. A spectral collocation method for two-dimensional
incompressible fluid flows in vorticity formulation.
H. Johnston, C. Wang, J.-G. Liu, (2024), in preparation.
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Flow in a cooling system
Please send any comments or suggestions to:
cwang1@umassd.edu,
12/02/24