UFR 2-14 Best Practice Advice

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Fluid-structure interaction in turbulent flow past cylinder/plate configuration II

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Flows Around Bodies

Underlying Flow Regime 2-14

Best Practice Advice

Key Physics

FSI-PfS-2a consists of the turbulent flow past a fixed rigid non-rotating cylinder with a flexible splitter plate and a rear mass. Compared to FSI-PfS-1a the geometry is similar. However, the less stiff rubber and the addition of the rear mass change completely the governing mechanism responsible for the deformations of the flexible structure.

At an inflow velocity of = 1.385 m/s the displacements are two-dimensional, symmetrical, large and well reproducible. The rubber plate deforms in the second swiveling mode (there are two wave nodes) with a frequency of Hz. The corresponding Strouhal number in the experiment is . This FSI phenomenon is dominated by a movement-induced excitation (MIE) (Naudascher and Rockwell, 1994). MIE is directly linked to body movements and disappears if the body comes to rest. MIE represents a self-excitation: If a body is accelerated in a flow, fluid forces acting on this body are modified by the unsteady flow induced.

Based on the given inflow velocity and the cylinder diameter the Reynolds number is equal to Re = 30,470. The flow around the cylinder is in the so-called sub-critical regime: The boundary layers are still laminar and transition to turbulence occurs in the free shear layers evolving from the separated boundary layers behind the apex of the cylinder. Transition to turbulence induces that from that point onwards the flow becomes three-dimensional and chaotic, and consists of a variety of different length and time scales. All these different scales lead to a wide range of frequencies, which are partially visible for example in the fluid forces acting on the structure. The highest frequencies are filtered out by the structure. That is the reason why the signals for the deflections show the quasi-periodic signals without high-frequency fluctuations.

Numerical Modelling

CFD

  • Discretization accuracy: In order to perform LES predictions it is required that spatial and temporal discretization are both at least of second-order accuracy. It is also important that the numerical schemes applied possesses low numerical diffusion (and dispersion) properties in order to resolve all the scales and not to dampen them out. A predictor-corrector scheme (projection method) of second-order accuracy forms the kernel of the fluid solver. In the predictor step an explicit Runge-Kutta scheme advances the momentum equation in time. This explicit method is chosen because of its accuracy, speed and low memory consumption. The discretization in space is done with second order central discretization scheme without any flux blending.
  • Grid resolution: The second critical issue to perform LES is the grid resolution. The mesh near the wall, in the free-shear layers and also in the interior flow domain has to be fine enough. For wall-resolved LES the recommendations given by Piomelli and Chasnov (1996) should be followed or outperformed, e.g., . In the present investigation a block-structured grid for the subset case is used. The entire grid consists of about 14 million control volumes (CVs). The first cell center is located at a distance of . It was found to be sufficient to resolve the flow accurately at walls as well as in the free shear layers. Similar to the classical flow around a cylinder also in the present configuration it is important to resolve the region close to the separation point and the evolving shear layer region adequately.
  • Grid quality: The third point is the quality of the grid. Smoothness and orthogonality is a very important issue for LES computations. In order to capture separations and reattachments at the cylinder and on the plate reliably, the orthogonality of the curvilinear grid in the vicinity of the walls has to be high. For deforming grids such as in the present FSI case, it is furthermore crucial to keep a high quality grid after strong grid movements and deformations.
  • Inlet boundary condition: At the inlet a constant streamwise velocity is set as inflow condition without adding any perturbations. The choice of zero turbulence level is based on the consideration that, in general, small perturbations imposed at the inlet will anyway not reach the cylinder due to the coarseness of the grid at the outer boundaries. Therefore, all inflow fluctuations will be highly damped. However, since the flow is assumed to be sub-critical and the inflow turbulence level measured in the experimental setup found to be rather small, the neglect of inflow perturbations is of no relevance.
  • Outlet boundary condition: A convective outflow boundary condition is favored allowing vortices to leave the integration domain without significant disturbances (Breuer, 2002). The convection velocity is set to uinflow.
  • Boundary conditions at the lateral sides: In the subset case a reasonable approximation already applied in Breuer et al. (2012) is to use periodic boundary conditions in spanwise direction for both the fluid and the structure. For LES predictions periodic boundary conditions represent an often used measure in order to avoid the formulation of appropriate inflow and outflow boundary conditions. The approximation is valid as long as the turbulent flow is homogeneous in the specific direction and the width of the domain is sufficiently large. The latter can be proven by predicting two-point correlations, which have to drop towards zero within the half-width of the domain. The impact of periodic boundary conditions on the CSD predictions are discussed below. For the full case periodic boundary conditions can no longer be used. Instead, the lateral boundaries are assumed as slip walls (similar to the upper and lower walls) since the full resolution of the boundary layers would be again too costly. Furthermore, the assumption of the slip wall is consistent with the disregard of the small gap between the flexible structure and the side walls.

CSD

  • Grid resolution: In the present investigation shell elements were used. A grid study on a simple structure case has shown that a mesh with shell elements for the subset case was sufficient.
  • Non-linear deformation: In the present test case the deformations of the flexible structure are large. Therefore, in the realized computations geometrical non-linearities are taken into account with the CSD solver Carat++.
  • Time discretization: In the present study the standard Newmark algorithm was sufficient.
  • Boundary conditions at the cylinder: At the rigid cylinder a clamped support is realized and all degrees of freedom are equal to zero.
  • Boundary conditions at the trailing edge: On the downstream trailing-edge side, the rubber plate is free to move and all nodes have the full set of six degrees of freedom.
  • Boundary conditions at the lateral sides: The edges which are aligned to the main flow direction are using special boundary conditions, as explained in details in Section Numerical CFD Setup.

FSI

  • FSI subiterations: When the FSI phenomenon is fully developed, 5 FSI subiterations are sufficient to reach a FSI convergence criterion set to for the L2 norm of the displacement differences.
  • Unterrelaxation: To stabilize and speed up the FSI convergence a static unterrelaxation on the displacement is used. A constant underrelaxation factor of ω = 0.5 is considered for the displacements. The loads are transferred without underrelaxation.

Physical Modelling

CFD

  • Wall-resolved LES: As mentioned above the flow in the present test case is in the sub-critical regime. Since in LES a large number of scales are resolved by the numerical method, this methodology is well suited. The near-wall regions are resolved too in order to obtain a reference LES solution. Later, wall functions can be used and compared.

CSD

  • Shell: The flexible structure of the test case is a simple rubber plate. It can be modelized with different FEM elements (plate, shell, 3D-rigid elements...). In the present study shell elements were used because we would like to carry out more complex test cases with exactly the same software environment in the future and hence, will also deal with curved surfaces.
  • St. Venant-Kirchhoff material model: Although the rubber material used for the test case shows a strong non-linear elastic behavior for large strains, the application of a linear elastic constitutive law is favored, to enable the reproduction of this FSI benchmark by a variety of different computational analysis codes without the need of complex material laws. This assumption can be justified by the observation that in the FSI test case, a formulation for large deformations but small strains is applicable. Hence, the identification of the material parameters is done on the basis of the moderate strain expected and the St. Venant-Kirchhoff constitutive law is chosen as the simplest hyper-elastic material model.
  • Rayleigh damping: Due to the usual dynamic behavior of rubber, a certain level of damping has to be expected. To represent this adequately in the numerical simulation, various approaches are possible. However, damping in a vibrating structure is a complex phenomenon with various sources (Petersen, 2000). The goal within this benchmark description is to provide a simple modeling for the damping effects to enable the computation with standard finite-element codes without adapting them. A proper choice for the damping model is therefore the Rayleigh damping. More details can be found in De Nayer and Breuer (2014).

FSI

  • Partitioned approach with strong implicit coupling: To preserve the advantages of the highly adapted CSD and CFD codes and to realize an effective coupling algorithm, a partitioned but nevertheless strong coupling approach is chosen. For a flexible structure in water, the added-mass effect by the surrounding fluid plays a dominant role. In this situation a strong coupling scheme taking the tight interaction between the fluid and the structure into account, is indispensable. In the coupling scheme developed in Breuer et al. (2012) this issue is taken into account by a FSI-subiteration loop which avoids instabilities due to the added-mass effect known from loose coupling schemes and maintains the explicit character of the time-stepping scheme beneficial for LES. For more details about this semi-implicit coupling scheme, we refer to Breuer et al. (2012).

Application Uncertainties

Application uncertainties can arise due to:

  • CFD boundary conditions in spanwise direction: The CFD boundary conditions at the lateral sides are periodic. The subset model induces a certain level of uncertainty. However, due to the steel rear mass the deformation in spanwise direction are quasi-nonexistent. The deformation of the flexible structure are quasi-2D. Therefore, the use of periodic boundaries is recommended.
  • CSD boundary conditions in spanwise direction: The CSD boundary conditions used, particularly that the nodes have to stay in same z-plane, are not optimal. Because of these the rubber material is numerically more stiff. However, due to the steel rear mass the z-deformation are quasi-nonexistent. Therefore, for FSI-PfS-2a this special treatment at lateral sides is usable.
  • Top and bottom slip wall boundary conditions: In the water channel the top and bottom sides are walls. In the simulations slip walls are used to reduce CPU-time consumption. However, this is an approximation which can lead to uncertainties.
  • Phase-averaging method: To reduce statistical errors due to insufficient sampling to a reasonable minimum, the numerical flow field was averaged in spanwise direction and for each phase over 15 cycles. Nevertheless, the numerical results are not completely free of uncertainties arising from the averaging process.
  • PIV method:

Recommendations for Future Work

  • The numerical computations were conducted based on wall-resolved LES. It implies very fine meshes and also large CPU-time consumption. Wall functions should be tested to reduce this effort. Corresponding studies are in progress.




Contributed by: Andreas Kalmbach, Guillaume De Nayer, Michael Breuer — Helmut-Schmidt Universität Hamburg

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