CFD Best Practice Guidelines for CFD Code Validation for by F. Menter, B. Hemstrom

By F. Menter, B. Hemstrom

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6. Results • • • • Convergence study. o Iteration. o Spatial. o Temporal. Influence of uncertainties. Numerical results in comparison with experimental data. Evaluation of solutions with respect to reliability and model quality. 7.

2 Description For CFD code verification, convergence can be tested against exact analytical solutions like: • • • Convection of disturbances by a given flow. Laminar Couette flow. Laminar channel flow. For the verification of newly implemented models, verification can only in limited cases be based on analytical solutions. An example is the terminal rise velocity of a spherical bubble in a calm fluid. In most other cases, simple experiments are used for the verification. It is recommended to compute the test cases given by the model developer in the original publication of the model, or other trustworthy publications.

1 Geometry Generation Potential uncertainties in terms of the geometry description are already treated in the test case definition. Recommendations are given there in terms of the treatment of insufficient information. It is expected that the geometries within the ECORA project are relatively simple and that no major problems are to be expected in the geometry generation. The main issues will be: • • • Symmetry assumptions. ). Omission of details. 2 are to be observed. 2 Grid Generation For each test case, at least three grids must be generated and tested.

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