Dataset for the article 'Determination of unsteady wing loading using tuft visualization'
Dataset for the article 'Determination of unsteady wing loading using tuft visualization'
Dataset for the article 'Determination of unsteady wing loading using tuft visualization' published in Experiments in Fluids
This dataset contains:
- tuft_analysis_CFD.ipynb : jupyter notebook for creating the model based on CFD data
- tuft_analysis_experimental.ipynb : jupyter notebook for creating the models based on experimental data
> lift_nn_model : folder containing the files that make up the lift model for experimental data
> moment_nn_model : folder containing the files that make up the moment model for experimental data
> lift_nn_model_cfd : folder containing the files that make up the lift model for CFD data
> CFD_data : folder containing the suction surface parameters on the wing obtained with CFD
> experimental_data : folder contain the data obtained from experiments in the wind tunnel and prepared for analysis
> images : 3 sample images for a single angle of attack and velocity
> ML_data: for each angle of attack the full tuft locations (fixed and free end), lift and moment.
By utilising the jupyter notebooks the .npy (numpy arrays) with data are automatically loaded and used to create new models based on the data. It is also possible to load the included models. Running the full notebooks will produce the equivalent figures as shown in the paper.
University of Southampton
Ganapathisubramani, Bharath
5e69099f-2f39-4fdd-8a85-3ac906827052
Ganapathisubramani, Bharath
5e69099f-2f39-4fdd-8a85-3ac906827052
Ganapathisubramani, Bharath
(2024)
Dataset for the article 'Determination of unsteady wing loading using tuft visualization'.
University of Southampton
doi:10.5258/SOTON/D3232
[Dataset]
Abstract
Dataset for the article 'Determination of unsteady wing loading using tuft visualization' published in Experiments in Fluids
This dataset contains:
- tuft_analysis_CFD.ipynb : jupyter notebook for creating the model based on CFD data
- tuft_analysis_experimental.ipynb : jupyter notebook for creating the models based on experimental data
> lift_nn_model : folder containing the files that make up the lift model for experimental data
> moment_nn_model : folder containing the files that make up the moment model for experimental data
> lift_nn_model_cfd : folder containing the files that make up the lift model for CFD data
> CFD_data : folder containing the suction surface parameters on the wing obtained with CFD
> experimental_data : folder contain the data obtained from experiments in the wind tunnel and prepared for analysis
> images : 3 sample images for a single angle of attack and velocity
> ML_data: for each angle of attack the full tuft locations (fixed and free end), lift and moment.
By utilising the jupyter notebooks the .npy (numpy arrays) with data are automatically loaded and used to create new models based on the data. It is also possible to load the included models. Running the full notebooks will produce the equivalent figures as shown in the paper.
More information
Published date: 1 September 2024
Identifiers
Local EPrints ID: 494620
URI: http://eprints.soton.ac.uk/id/eprint/494620
PURE UUID: d4405729-2b7e-4cce-8970-060457331c79
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Date deposited: 11 Oct 2024 16:32
Last modified: 15 Oct 2024 11:43
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