Published February 9, 2025 | Version v2
Dataset Open

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

  • 1. Safran Tech, Digital Sciences & Technologies Department, Rue des Jeunes Bois, Châteaufort, 78114 Magny-Les-Hameaux, France

Description

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.  

 

Tips to access the data:

After decompressing the downloaded file:

from plaid.containers.dataset import Dataset
from plaid.problem_definition import ProblemDefinition

dataset = Dataset()
problem = ProblemDefinition()

problem._load_from_dir_(os.path.join(/path/to/data,'problem_definition'))
dataset._load_from_dir_(os.path.join(/path/to/data,'dataset'), verbose = True)

print("problem =", problem)
print("dataset =", dataset)

sample = dataset[0]
print("sample =", sample)

for fn in sample.get_field_names():
    print(f"{fn} =", sample.get_field(fn))
for sn in sample.get_scalar_names():
    print(f"{sn} =", sample.get_scalar(sn))

print("nodes =", sample.get_nodes())
print("elements =", sample.get_elements())

Files

Files (3.3 GB)

Name Size Download all
md5:38b569baa992b08f434299c1737f68c5
3.3 GB Download

Additional details

Related works

Is documented by
Software: https://plaid-lib.readthedocs.io/ (URL)
Is required by
Conference paper: arXiv:2305.12871 (arXiv)

Dates

Updated
2025-02-09