Lid-driven Cavity Flow benchmark

This test case has originally been proposed by [MokWall].

Computer codes, used for the acquisition of results, are from Vincent [Chabannes].

This benchmark has aso been realized by [Gerbeau], [Vàzquez], [Kuttler] and [Kassiotis].

1. Problem Description

We study here an incompressible fluid flowing into a cavity, where its walls are elastic. We use the following geometry to represent it.

LidDriven Geometry
Figure 1 : Geometry of lid-driven cavity flow.

The domain Ωf is define by a square [0,1]2, Γi,f and Γo,f are respectively the flow entrance and the flow outlet. A constant flow velocity, following the x axis, will be imposed on Γh,f border, while a null flow velocity will be imposed on Γf,f. This last point represent also a non-slip condition for the fluid.

Furthermore, we add a structure domain, at the bottom of the fluid one, named Ωs. It is fixed by his two vertical sides Γf,s, and we denote by Γw,f the border which will interact with Ωf.

During this test, we will observe the displacement of a point A, positioned at (0;0.5), into the y direction, and compare our results to ones found in other references.

1.1. Boundary conditions

Before enunciate the boundary conditions, we need to describe a oscillatory velocity, following the x axis and dependent of time.

vin=1cos(2πt5)

Then we can set

  • on Γh,f, an inflow Dirichlet condition : \boldsymbol{u}_{f} = ( v_{in}, 0 )

  • on \Gamma^{i,*}_f, an inflow Dirichlet condition : \boldsymbol{u}_{f} = ( v_{in}(8 y -7) ,0)

  • on \Gamma^{f,*}_f, a homogeneous Dirichlet condition : \boldsymbol{u}_{f} = \boldsymbol{0}

  • on \Gamma^{o,*}_f, a Neumann condition : \boldsymbol{\sigma}_{f} \boldsymbol{n}_f = \boldsymbol{0}

  • on \Gamma^{f,*}_s, a condition that imposes this boundary to be fixed : \boldsymbol{\eta}_{s} = \boldsymbol{0}

  • on \Gamma^{e,*}_s, a condition that lets these boundaries be free from constraints : \boldsymbol{F}_{s} \boldsymbol{\Sigma}_s \boldsymbol{n}_s = \boldsymbol{0}

To them we also add the fluid-structure coupling conditions on \Gamma_{fsi}^* :

\frac{\partial \boldsymbol{\eta_{s}} }{\partial t} - \boldsymbol{u}_f \circ \mathcal{A}^t_f = \boldsymbol{0} \quad \left( \text{Velocities continuity}\right)
\boldsymbol{F}_{s} \boldsymbol{\Sigma}_{s} \boldsymbol{n}^*_s + J_{\mathcal{A}^t_f} \boldsymbol{F}_{\mathcal{A}^t_f}^{-T} \hat{\boldsymbol{\sigma}}_f \boldsymbol{n}^*_f = \boldsymbol{0} \quad \left( \text{ Constraint continuity}\right)
\boldsymbol{\varphi}_s^t - \mathcal{A}^t_f = \boldsymbol{0} \quad \left( \text{Geometric continuity}\right)

1.2. Initial conditions

To realize the simulations, we used a time step \Delta t equals to 0.01 s.

2. Inputs

The following table displays the various fixed and variables parameters of this test-case.

Table 1. Fixed and Variable Input Parameters

Name

Description

Nominal Value

Units

E_s

Young’s modulus

250

N.m^{-2}

\nu_s

Poisson’s ratio

0

dimensionless

\rho_s

structure density

500

kg.m^{-3}

\mu_f

viscosity

1\times 10^{-3}

m^2.s^{-1}

\rho_f

density

1

kg.m^{-3}

3. Outputs

(\boldsymbol{u}_f, p_f, \boldsymbol{\eta}_s, \mathcal{A}_f^t), checking the fluid-structure system, are the output of this problem.

4. Discretization

To discretize space, we used P_N~-~P_{N-1} Taylor-Hood finite elements.

For the structure time discretization, Newmark-beta method is the one we used. And for the fluid time discretization, we used BDF, at order q.

5. Implementation

All the codes files are into FSI

6. Results

We begin with a P_2~-~P_1 approximation for the fluid with a geometry order equals at 1, and a fluid-structure stable interface.

Then we retry with a P_3~-~P_2 approximation for the fluid with a geometry order equals at 2, and a fluid-structure stable interface.

Finally we launch it with the same conditions as before, but with a deformed interface.

6.1. Conclusion

First at all, we can see that the first two tests offer us similar results, despite different orders uses. At contrary, the third result set are better than the others.

The elastic wall thinness, in the stable case, should give an important refinement on the fluid domain, and so a better fluid-structure coupling control. However, the deformed case result are closer to the stable case made measure.

7. Bibliography

References for this benchmark
  • [MokWall] DP Mok and WA Wall, Partitioned analysis schemes for the transient interaction of incompressible flows and nonlinear flexible structures, Trends in computational structural mechanics, Barcelona, 2001.

  • [Chabannes] Vincent Chabannes, Vers la simulation numérique des écoulements sanguins, Équations aux dérivées partielles [math.AP], Université de Grenoble, 2013.

  • [Gerbeau] J.F. Gerbeau, M. Vidrascu, et al, A quasi-newton algorithm based on a reduced model for fluid-structure interaction problems in blood flows, 2003.

  • [Vazquez] J.G. Valdés Vazquèz et al, Nonlinear analysis of orthotropic membrane and shell structures including fluid-structure interaction, 2007.

  • [KuttlerWall] U. Kuttler and W.A. Wall, Fixed-point fluid–structure interaction solvers with dynamic relaxation, Computational Mechanics, 2008.

  • [Kassiotis] C. Kassiotis, A. Ibrahimbegovic, R. Niekamp, and H.G. Matthies, Nonlinear fluid–structure interaction problem ,part i : implicit partitioned algorithm, nonlinear stability proof and validation examples, Computational Mechanics, 2011.