five

2D_profile: 2D external aero CFD RANS dataset, under geometrical variations

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NIAID Data Ecosystem2026-05-02 收录
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https://zenodo.org/record/14840425
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This entry contains a dataset of 2D external aero CFD RANS solutions, under geometrical variations.  The files format is PLAID, see the plaid documentation. The variablity in the samples is the geometry (mesh). Outputs of interest are 4 fields. Samples have been computed on large refined meshes, which have been cut close to the profil.   The dataset has a training set of size 300 and a testing set of size 100. Outputs are not provided on the testing sets.    Tips to access the data: After decompressing the downloaded file: from plaid.containers.dataset import Datasetfrom 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())print("nodal_tags =", sample.get_nodal_tags())
创建时间:
2025-04-06
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