Name: Rotor37: a 3D CFD RANS dataset, under geometrical variations of a compressor blade
Keywords: Machine Learning, AI, Physics, CFD, Geometrical variations, Simulation

Research datakeyboard_double_arrow_right Dataset 17 Nov 2023Publisher:Zenodo

Authors: Roynard, Xavier; Casenave, Fabien; Staber, Brian;

doi: 10.5281/zenodo.10149830 , 10.5281/zenodo.14840190 , 10.5281/zenodo.10149829

Rotor37: a 3D CFD RANS dataset, under geometrical variations of a compressor blade

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Abstract

This dataset contains 3D CFD RANS solutions, under geometrical variations of a compressor blade. A Description is provided in 2305.12871.pdf (arxiv.org) Sections 4.1 and Appendix A.1. The file format is PLAID, see the plaid documentation. The variablity in the samples are 2 input scalars and the geometry (mesh). Outputs of interest are 3 scalars and 3 fields. Eight nested training sets of sizes 8 to 1000 are provided, with complete input-output data. A testing set of size 200 is provided, for which outputs are not provided.

Keywords

Machine Learning, AI, Physics, CFD, Geometrical variations, Simulation

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