# Pressure stabilized finite elements simulation for steady and unsteady Newtonian fluids

### Ahmed Elhanafy

,### Amr Guaily

,### Ahmed Elsaid

Journal of Applied Mathematics and Computational Mechanics |
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@article{Elhanafy_2017, doi = {10.17512/jamcm.2017.3.02}, url = {https://doi.org/10.17512/jamcm.2017.3.02}, year = 2017, publisher = {The Publishing Office of Czestochowa University of Technology}, volume = {16}, number = {3}, pages = {17--26}, author = {Ahmed Elhanafy and Amr Guaily and Ahmed Elsaid}, title = {Pressure stabilized finite elements simulation for steady and unsteady Newtonian fluids}, journal = {Journal of Applied Mathematics and Computational Mechanics} }

TY - JOUR DO - 10.17512/jamcm.2017.3.02 UR - https://doi.org/10.17512/jamcm.2017.3.02 TI - Pressure stabilized finite elements simulation for steady and unsteady Newtonian fluids T2 - Journal of Applied Mathematics and Computational Mechanics JA - J Appl Math Comput Mech AU - Elhanafy, Ahmed AU - Guaily, Amr AU - Elsaid, Ahmed PY - 2017 PB - The Publishing Office of Czestochowa University of Technology SP - 17 EP - 26 IS - 3 VL - 16 SN - 2299-9965 SN - 2353-0588 ER -

Elhanafy, A., Guaily, A., & Elsaid, A. (2017). Pressure stabilized finite elements simulation for steady and unsteady Newtonian fluids. Journal of Applied Mathematics and Computational Mechanics, 16(3), 17-26. doi:10.17512/jamcm.2017.3.02

Elhanafy, A., Guaily, A. & Elsaid, A., 2017. Pressure stabilized finite elements simulation for steady and unsteady Newtonian fluids. Journal of Applied Mathematics and Computational Mechanics, 16(3), pp.17-26. Available at: https://doi.org/10.17512/jamcm.2017.3.02

[1]A. Elhanafy, A. Guaily and A. Elsaid, "Pressure stabilized finite elements simulation for steady and unsteady Newtonian fluids," Journal of Applied Mathematics and Computational Mechanics, vol. 16, no. 3, pp. 17-26, 2017.

Elhanafy, Ahmed, Amr Guaily, and Ahmed Elsaid. "Pressure stabilized finite elements simulation for steady and unsteady Newtonian fluids." Journal of Applied Mathematics and Computational Mechanics 16.3 (2017): 17-26. CrossRef. Web.

1. Elhanafy A, Guaily A, Elsaid A. Pressure stabilized finite elements simulation for steady and unsteady Newtonian fluids. Journal of Applied Mathematics and Computational Mechanics. The Publishing Office of Czestochowa University of Technology; 2017;16(3):17-26. Available from: https://doi.org/10.17512/jamcm.2017.3.02

Elhanafy, Ahmed, Amr Guaily, and Ahmed Elsaid. "Pressure stabilized finite elements simulation for steady and unsteady Newtonian fluids." Journal of Applied Mathematics and Computational Mechanics 16, no. 3 (2017): 17-26. doi:10.17512/jamcm.2017.3.02

PRESSURE STABILIZED FINITE ELEMENTS SIMULATION FOR STEADY AND UNSTEADY NEWTONIAN FLUIDS

Ahmed Elhanafy^{1}, Amr Guaily^{2},
Ahmed Elsaid^{1}

^{1}Mathematics & Engineering Physics
Department, Faculty of Engineering, Mansoura University

PO 35516, Mansoura, Egypt

^{2}Engineering Mathematics & Physics Department, Faculty of
Engineering, Cairo University

PO 12613, Giza, Egypt

eng_hanafy2012@yahoo.com; amr.guaily@cu.edu.eg; a_elsaid@mans.edu.eg

Received: 24 November 2016; Accepted: 2 August 2017

**Abstract.** A numerical simulation of an incompressible viscous flow using the
finite element method is presented. In this study, the pressure stabilization
technique is suggested for the treatment of the incompressibility constraint
for both steady and unsteady flow cases. To the best of the authors’ knowledge,
the pressure stabilization technique is used for steady flows only. The
proposed technique allows for equal low-order interpolation polynomials to be
used for all variables which circumvent the so-called LBB compatibility
condition without pressure checker boarding and solution instabilities. Results
are obtained for two benchmark problems, namely, lid-driven cavity flow and the
vortex-shedding
behind a circular cylinder. The results are compared with published numerical
and experimental works with an apparent degree of success.

*MSC 2010:**35Q30, 65M08, 65N08, 74S10, 76D05, 76M12*

*Keywords: **unsteady
incompressible viscous flow, pressure stabilization technique, equal low-order
finite elements, Galerkin least squares*

1. Introduction

The numerical simulation of unsteady incompressible flows is one of the most challenging topics since the continuity equation becomes a constraint equation for the velocity field rather than being an evolution equation for the density field. This problem appears when assuming incompressible fluids i.e. fluid with constant Lagrangian density and consequently the pressure does not affect the density. Differences in various methods of treating the incompressible flow equations originate from differences in strategies for satisfying the incompressibility constraint [1]. There are many methods for treating the incompressibility constraint in literature such as weakly incompressible solvers [2-4], the semi-implicit method for pressure-linked equations (SIMPLE) [5], the penalty formulation [6], the artificial compressibility formulation [7] and the pressure stabilization formulation [8]. Hughes [9] has suggested the penalty formulation for both steady and unsteady flow cases.

In this study, we adopt the pressure stabilization technique since equal order of interpolation functions for velocity and pressure can be used for finite element spatial discretization which is considered the main advantage of this formulation. This formulation is suggested and used by Habashi [10] for steady laminar viscous flows. The results in this work prove the validity of this technique for steady and unsteady flows with lower computational costs compared with the other traditional methods.

2. Governing equations

For non-polar Newtonian fluids with no heat or mass addition, conservation of linear momentum and mass for incompressible, unsteady, two-dimensional planar flows read

(1) |

(2) |

where is the density, is the velocity vector, is the isotropic pressure and the stress tensor is given by:

** ** (3)

where is the constant shear viscosity, and is the rate of the strain tensor given by:

(4) |

From a mathematical point of view, the dimensionless formulation of the governing equation is preferable, so we use the following non-dimensional scheme:

where is a characteristic length, is the free stream velocity and is the free stream pressure. Omitting the asterisk (*) for simplicity, the non-dimensional Cartesian form of the governing equations can be written as:

(5) |

, | (6) |

, (7)

where and are the horizontal and vertical velocity component respectively, is the physical time and Re is the Reynolds number defined as:

* *(8)

where is the kinematic viscosity.

2.1. Pressure stabilization technique

In this formulation [8], the continuity equation is modified by adding a Laplacian term as follows:

(9)

With this formulation, the conservation equations are coupled and the pressure checker boarding can be avoided. The main advantage of this formulation is the ability to use equal-order for interpolation functions for all variables which decreases the computational costs. See also [11] for more details.

3. Solution procedure

The standard Galerkin finite element method is used for the continuity equation since it is of an elliptic type while the GLS stabilization technique [12, 13] is used for the momentum equations since it is of a parabolic-hyperbolic type and consequently the convective terms need special treatment. Quadrilateral elements are chosen and all variables are interpolated by equal order bilinear shape functions. All integrals are evaluated numerically using the 3-point Gauss-Legender quadrature. The non-linear terms are linearized by average values of the velocity components over each element [14]. The Euler explicit scheme is used for time marching process. The time step is chosen in such a way to satisfy the CFL number to obtain a stable solution. Lumping approximation is applied to the consistent mass matrix converting it to a diagonal matrix [14]. The details are omitted sue to space limitations. See also [11] and [15] for more details.

4. Numerical results

The proposed formulation is applied to two benchmark problems. The first problem is the Lid-driven cavity flow and the second is the flow over circular cylinder. The governing equations are solved for different values of the Reynolds number and the results are compared with published numerical and experimental works.

4.1. Lid-driven cavity flow

The flow is confined in a unite square bounded by solid walls with a moving top boundary to the right. Due to the singularity of the flow field at the upper corners, we chose the regularized boundary condition for the upper wall which is given by the following relation:

(10) |

The no-slip boundary condition for velocity components are imposed at the solid walls. Pressure is specified to be zero at the lower left corner point, with zero gradient over the walls. The Reynolds number is based on the side length of the cavity and the speed of the lid.

4.1.1. Results and discussion

The first simulation for this problem is performed with clustered grid of (40 x 40) elements to capture the high gradient near the walls as shown in Figure 1. The Reynolds number is set to 100. For stability requirement, the time step is taken as 0.0001 and the pressure dissipation parameter is. The flow reaches the steady state after ten seconds with a total number of iterations of 100000. Figures 2 and 3 show the streamlines, the axial component at x = 0.5 respectively which is compared with the work of [2], [16] and [17] with an apparent degree of success.

The second simulation is performed for with the same mesh and the flow conditions. With the comparison of the previous case, it is noted that the time required for obtaining the steady state solution increases with the increase of the Reynolds number, as it takes about 30 seconds. The corresponding streamlines and pressure contours are shown in Figures 4 and 5, respectively. Along with the axial velocity at in Figure 6. The results for this case are compared with the results obtained in [13].

Fig. 1. Clustered 40 x 40 mesh Fig. 2. Steady streamlines at Re = 100

Fig. 3.-comonent velocity at x = 0.5 Fig. 4. Steady streamlines for Re = 1000

More solutions are obtained for this
problem at a wide range of the Reynolds number values to show the effect of the
Reynolds number on the primary vortex location and axial and normal velocities.
The effect of Reynolds number can be
also clearly seen from the axial and normal velocity components profiles at
*x *= 0.5 and *y *= 0.5 as shown in Figures 7 and 8, respectively.

** **** **

Fig. 5. Pressure contours for Re = 1000 Fig. 6. -comonent velocity at for Re = 1000

Fig. 7. Axial velocity at *x*
= 0.5 Fig. 8. Normal velocity at *y* = 0.5

4.2. Flow over circular cylinder

One of the most challenging problems for numerical simulation of incompressible flows is the study of the flow over a circular cylinder. The dimensions of the computational domain are 20 and 9 cylinder diameters in the flow and cross-flow directions, respectively. The centre of the cylinder is located at a distance of 5 cylinder diameters from the inlet boundary and is located in the middle distance between the upper and lower boundaries. A clustered grid with a smaller element size near the cylinder wall is used as shown in Figure 9 with a total number of elements of 1200.

Fig. 9. Geometry and grid for the flow over cylinder problem

The initial conditions are zero velocity and pressure everywhere. Uniform velocity with a magnitude of 1 is specified at the inlet and normal derivative of the -velocity component and the-component itself are considered zero at the upper and lower boundaries [14]. The Reynolds number is based on the inlet velocity and cylinder diameter. The no-slip boundary condition for velocity components is imposed on the cylinder surface. Neumann boundary condition for pressure is imposed at the upper and the lower boundaries. At the exit boundary, the pressure is fixed to be zero.

4.2.1. Results and discussion

*4.2.1.1. Steady state flow *

The evolution of the flow eddies behind the cylinder is studied by varying the Reynolds number.

It is apparent that the pair of vortices symmetrically grows with the increase in the Reynolds number as shown in Figure 10. This fact can be shown clearly through the relation between the normalized reattachment length (S/D) and the Reynolds number, where S is the distance measured from the right end-point of the cylinder to the reattachment point where the two eddies end. The results obtained are compared with [2], [18] and [19] and summarized in Table 1. From the above results, it could be concluded that the pair of eddies grows almost linearly with the increase in the Reynolds number.

(a) Re = 20 (b) Re = 60

Fig. 10. The effect of increasing of Reynolds number on the length of the symmetric vortices

Table 1

Comparison of predicted reattachment length ratios (S/D)

Re |
Teneda [18] |
Xu et al. [2] |
Huang et al. [19] |
Present work |

25 |
1.15 |
1.12 |
.991 |
1.09 |

30 |
1.49 |
1.50 |
1.272 |
1.32 |

35 |
1.80 |
1.84 |
1.531 |
1.63 |

40 |
2.20 |
2.22 |
1.94 |
1.88 |

42 |
2.35 |
2.26 |
2.09 |
2.02 |

*4.2.1.2.
Time-dependent flow *

The solution for this case is obtained with *Re
*= 100. For the stability requirement, the time step is set to 0.0005 and
the pressure dissipation parameter is 0.005. Initially, a pair of symmetric
attached vortices grew behind the cylinder. It is found that two vortices
expand gradually with time increase which agrees with the experimental and
numerical works in [14] and [20].

As time increases, small oscillations begin to occur. To capture the vortex shedding, a perturbation is introduced in the flow. This perturbation is inserted by changing the initial conditions by which the flow enters vertically [21]. It takes about 50 seconds to capture the vortex shedding which agrees with [14] and [20]. The observed period shedding time is 5.925 time units (corresponding to 11850 time steps), giving a dimensionless shedding frequency, or Strouhal number (St ) of 1.687 compares well with the results of [14] and [20]. The vortex shedding is shown using the streamlines and pressure contours for different times in Figures 11 and 12, respectively.

(a) Streamlines at ** **
(b) Streamlines at ** **

** **** **

(c) Streamlines at (d) Streamlines at

Fig. 11. Streamlines for different times of one cycle of the vortex shedding for Re = 100

(a) Pressure contours at (b) Pressure contours at

Fig. 12. Pressure contours for two different times of one cycle of the vortex shedding for Re = 100

5. Summary and conclusion

In this study, the pressure stabilized technique is suggested for treating the incompressibility constraint. The pressure stabilization parameter is chosen to be in the order of the time step. The proposed technique circumvents the LBB computability condition, stable solutions are obtained and equal-order interpolation functions are used for all flow variables. A hybrid Galerkin Least-squares finite element/finite difference scheme is used in the discretization process. Two benchmark problems, namely, lid-driven cavity flow and flow over circular cylinder are considered. The results prove that the pressure stabilized technique, usually used for steady flows only, can be also used for both steady and unsteady flows.

For flow in the lid-driven cavity, results
are obtained for different values of the Reynolds number. The axial velocity
profile at *x = *0.5 is compared with published works with an apparent
degree of agreement. The results assert that with the increase of the Reynolds
number, the main vortex moves down to the center of the cavity which is
consistent with the published experimental and computational works. For flow
over the circular cylinder, steady symmetric vortices at low Reynolds number
values i.e. are observed. It is noted that the length of the vortex increases
with the increase of the Reynolds number. The relation between the length of
the vortex and the Reynolds number is summarized. It is noted also that the
flow over the circular cylinder becomes time-dependent or periodic when the
Reynolds number is higher than 100. The vortex shedding is captured
successfully with the non-dimensional Strouhal number of 1.687 which agrees with the published computational results.

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