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Identification of Sources of Error Induced by Geometry and Discretisation
The grid developer has many tools at his disposal. These methods range from manual procedures to fully automated ones, which allow the operator to mesh complex geometries like complete aircraft configurations including wings, tail planes, flaps and engines, by setting only a few parameters. However, these fully automated
E. Mazlum • R. Radespiel
Institute of Fluid Mechanics, Technische Universitat Braunschweig Hermann-Blenk-Str. 37, D-38108 Braunschweig, Germany e-mail: {e. mazlum, r. radespiel}@tu-bs. de
B. Eisfeld et al. (Eds.): Management & Minimisation of Uncert. & Errors, NNFM 122, pp. 3-28. DOI: 10.1007/978-3-642-36185-2_1 © Springer-Verlag Berlin Heidelberg 2013
meshing tools generally offer only very limited control on the exact topology of the generated grid. To efficiently analyse the uncertainties in the flow solution caused by the topology of the grid, a grid generation tool is needed which allows the user to shape the grid freely.
Especially for analysing the wake discretization, a grid generation tool is needed which gives the operator full control over the grid generation process. A suited grid generator is Gridgen V15 [1] which is why it was used as the preferred tool in this work. In Gridgen grids are generated manually by creating "connectors", "domains" and "blocks". This approach gives many design options for the shape of the grid in the wake region.
Furthermore, Gridgen allows the generation of hybrid grids. Hybrid grids are a combination of fully structured hexahedral layers, and semi or fully unstructured prism or tetrahedral layers, respectively.
