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3.2   Numerical Methods and Grids

3.2.1   Numerical schemes and boundary conditions (O. Colin, F. Nicoud)

A set of several new boundary conditions has been implemented into AVBP [Nicoud, 2000a], in order to satisfy the various aspects related to unsteady flow simulations in internal geometries: pulsating inlet conditions, relaxation of all three velocity components and the temperature towards target values (while preserving a non-reflecting behavior), swirled flows conditions, etc. A novel integral formulation allows to impose integral values for the mass flux at inlet and outlet boundaries. The main area of application for this new boundary condition are combustion instabilities, where often only integral values of the experimental data are available at inlet sections.

Another development was tested to increase the computation speed for low velocity flows by rescaling the sound velocity: it enabled significant CPU reduction for these cases [Cuenot, 2000].

3.2.2   Computational grids (J.-D. Müller, T. Schönfeld)

One of the main characteristics of AVBP is the capability to handle cells of different types within the frame of the same mesh. With the use of these hybrid grids, one aims to combine advantages of structured and unstructured grid methodologies. One of the clear benefits ofusing hybrid meshes is the ability to minimize the number of grid points and to optimize their position in the global grid.

Most grid related aspects (like grid adaptation or the extrusion of 2-D grid towards 3-D grids) are handled by the grid manipulation tool 'hip', developed by J.-D. Müller (now at Belfast University). New features are implemented frequently into hip, such as new file formats but also routines that allow for generic 1-D cuts in an unstructured grid or the interpolation between two arbitrary grids.

In a feasibility study, conducted in 2000, the existing adaptive local grid refinement tool for steady state external flows has been extended to time dependent cases [Müller, 2001]. The method has been applied to unsteady flows through the usage of a C-shell script that couples the grid refinement module of hip with the CFD flow solver AVBP. Fig. 3.1 shows the locally refined domains of the computational grid for the reactive flow in a combustion chamber. This grid is adapted on the gradient of the temperature and nicely captures the steep gradients across the flame front. The work has evidenced certain limitations of the local grid refinement method when applied to unsteady flows. Most importantly, the very small cells can result in unrealistically small time steps. Further, in the context of rapidly moving flow features (like a flame front) de-refinement capabilities and frequent adaptation steps are crucial, but slow down the overall computing times. The entire procedure must be developed in a parallel framework. This work will be intensified in collaboration with IFP: an ALE formulation is now available in AVBP to compute flow in moving meshes and the strategy to handle variable meshes now becomes critical; it will be the topic of a PhD thesis at CERFACS starting in 2002 with the support of IFP.








Figure 3.1: Global view of temperature field and final adapted grid (zoom of inlet section).


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