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  1. .gitattributes +28 -0
  2. LICENSE.txt +428 -0
  3. README.txt +125 -0
  4. ahmedml.slvs +0 -0
  5. download.sh +28 -0
  6. force_mom_all.csv +501 -0
  7. force_mom_varref_all.csv +500 -0
  8. geo_parameters_all.csv +500 -0
  9. openfoam-casesetup.tgz +3 -0
  10. run_379/ahmed_379.stl +3 -0
  11. run_379/boundary_379.vtp +3 -0
  12. run_379/force_mom_379.csv +2 -0
  13. run_379/force_mom_varref_379.csv +2 -0
  14. run_379/geo_parameters_379.csv +2 -0
  15. run_379/images/CpT/run_379-slice-total(p)_coeffMean-X-0.png +3 -0
  16. run_379/images/CpT/run_379-slice-total(p)_coeffMean-X-1.png +3 -0
  17. run_379/images/CpT/run_379-slice-total(p)_coeffMean-X-10.png +3 -0
  18. run_379/images/CpT/run_379-slice-total(p)_coeffMean-X-11.png +3 -0
  19. run_379/images/CpT/run_379-slice-total(p)_coeffMean-X-12.png +3 -0
  20. run_379/images/CpT/run_379-slice-total(p)_coeffMean-X-13.png +3 -0
  21. run_379/images/CpT/run_379-slice-total(p)_coeffMean-X-14.png +3 -0
  22. run_379/images/CpT/run_379-slice-total(p)_coeffMean-X-15.png +3 -0
  23. run_379/images/CpT/run_379-slice-total(p)_coeffMean-X-16.png +3 -0
  24. run_379/images/CpT/run_379-slice-total(p)_coeffMean-X-17.png +3 -0
  25. run_379/images/CpT/run_379-slice-total(p)_coeffMean-X-18.png +3 -0
  26. run_379/images/CpT/run_379-slice-total(p)_coeffMean-X-19.png +3 -0
  27. run_379/images/CpT/run_379-slice-total(p)_coeffMean-X-2.png +3 -0
  28. run_379/images/CpT/run_379-slice-total(p)_coeffMean-X-20.png +3 -0
  29. run_379/images/CpT/run_379-slice-total(p)_coeffMean-X-21.png +3 -0
  30. run_379/images/CpT/run_379-slice-total(p)_coeffMean-X-3.png +3 -0
  31. run_379/images/CpT/run_379-slice-total(p)_coeffMean-X-4.png +3 -0
  32. run_379/images/CpT/run_379-slice-total(p)_coeffMean-X-5.png +3 -0
  33. run_379/images/CpT/run_379-slice-total(p)_coeffMean-X-6.png +3 -0
  34. run_379/images/CpT/run_379-slice-total(p)_coeffMean-X-7.png +3 -0
  35. run_379/images/CpT/run_379-slice-total(p)_coeffMean-X-8.png +3 -0
  36. run_379/images/CpT/run_379-slice-total(p)_coeffMean-X-9.png +3 -0
  37. run_379/images/CpT/run_379-slice-total(p)_coeffMean-Y-0.png +3 -0
  38. run_379/images/CpT/run_379-slice-total(p)_coeffMean-Y-1.png +3 -0
  39. run_379/images/CpT/run_379-slice-total(p)_coeffMean-Y-2.png +3 -0
  40. run_379/images/CpT/run_379-slice-total(p)_coeffMean-Y-3.png +3 -0
  41. run_379/images/CpT/run_379-slice-total(p)_coeffMean-Y-4.png +3 -0
  42. run_379/images/CpT/run_379-slice-total(p)_coeffMean-Y-5.png +3 -0
  43. run_379/images/CpT/run_379-slice-total(p)_coeffMean-Y-6.png +3 -0
  44. run_379/images/CpT/run_379-slice-total(p)_coeffMean-Y-7.png +3 -0
  45. run_379/images/CpT/run_379-slice-total(p)_coeffMean-Y-8.png +3 -0
  46. run_379/images/CpT/run_379-slice-total(p)_coeffMean-Z-0.png +3 -0
  47. run_379/images/CpT/run_379-slice-total(p)_coeffMean-Z-1.png +3 -0
  48. run_379/images/CpT/run_379-slice-total(p)_coeffMean-Z-2.png +3 -0
  49. run_379/images/CpT/run_379-slice-total(p)_coeffMean-Z-3.png +3 -0
  50. run_379/images/CpT/run_379-slice-total(p)_coeffMean-Z-4.png +3 -0
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+ Creative Commons is not a party to its public
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+ public licenses is dedicated to the public domain under the CC0 Public
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+
README.txt ADDED
@@ -0,0 +1,125 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ AhmedML: High-Fidelity Computational Fluid Dynamics dataset for incompressible, low-speed bluff body aerodynamics
2
+ -------
3
+
4
+ version history:
5
+ ---------------
6
+ 12/11/2024 - added validation folder that contains the full output from all four mesh levels that were used to validate the methodology used.
7
+ 04/08/2024 - updates to the file description and arxiv paper
8
+ 05/06/2024 - global forces/geo added for all runs
9
+ 01/05/2024 - force/moments corrected (prior version had incorrect Cs data)
10
+ 18/04/2024 - draft version produced
11
+
12
+ contact:
13
+ ----------
14
+ Neil Ashton (who can pass messages to the contributors) - [email protected]
15
+
16
+ website:
17
+ ----------
18
+ Visit https://caemldatasets.org for the latest information on the datasets
19
+
20
+ Summary:
21
+ -------
22
+
23
+ This dataset contains 500 different geometric variations of the Ahmed Car Body - a simplified car-like shape that exhibits many of the flow topologies that are present on bluff bodies such as road vehicles. The dataset contains a wide range of geometries that exhibit fundamental flow physics such as geometry and pressure-induced flow separation of flows as well as 3D vortical structures. Each variation of the Ahmed car body were run using a time-accurate hybrid Reynolds-Averaged Navier-Stokes (RANS) - Large-Eddy Simulation (LES) turbulence modelling approach using the open-source CFD code OpenFOAM. The dataset contains both surface boundary, 3D volume, geometry STL and forces/moments in open-source formats (.vtu,.vtp).
24
+
25
+ CFD Solver:
26
+ ----------
27
+ All cases were run using the open-source finite-volume code OpenFOAM v2212. Each case was run transiently for approximately 80 convective time units (CTU) on meshes of approximately 20M cells. Please see the paper for full details on the code and validation:
28
+
29
+ How to cite this dataset:
30
+ ----------------
31
+ In order to cite the use of this dataset please cite the paper below which contains full details on the dataset. It can be found here: https://arxiv.org/abs/2407.20801
32
+
33
+ @article{ashton2024ahmed,
34
+ title = {{AhmedML: High-Fidelity Computational Fluid Dynamics dataset for incompressible, low-speed bluff body aerodynamics}},
35
+ year = {2024},
36
+ journal = {arxiv.org},
37
+ author = {Ashton, Neil and Maddix, Danielle and Gundry, Samuel and Shabestari, Parisa}
38
+ }
39
+
40
+ Files:
41
+ -------
42
+ Each folder (e.g run_1,run_2...run_"i" etc) corresponds to a different geometry that contains the following files where "i" is the run number:
43
+ ahmed_i.stl : geometry stl (~5mb):
44
+ geo_parameters_1.csv (missing run 500): parameters that define the geometry
45
+ boundary_i.vtp : Boundary VTP (~500mb)
46
+ volume_i.vtu : Volume field VTU (~5GB)
47
+ force_mom_i.csv : forces (Cd,Cl) time-averaged with constant reference area
48
+ force_mom_varref_i.csv : forces (Cd,Cl) time-averaged with varying reference area
49
+ slices : folder containing .vtp slices in x,y,z that contain flow-field variables
50
+ images : (folder) that contains images of the following variables (CpT, UxMean) for slices of the domain in the X,Y & Z locations.
51
+ In addition we provide:
52
+ force_mom_all.csv : run, cd,cl for all runs in a single file
53
+ force_mom_varref_all.csv : run, cd,cl for all runs in a single file with varying reference area
54
+ geo_parameters_all.csv : all the geometry parameters for each run inside a single file
55
+ ahmedml.slvs : SolveSpace input file to create the parametric geometries
56
+ stl : folder containing stl files that were used as inputs
57
+ to the OpenFOAM process
58
+ openfoam-casesetup.tgz : complete OpenFOAM setup that can be used to
59
+ extend or reproduce the dataset
60
+ validation : folder containing full outputs from all four mesh levels that were used to validate the methodology
61
+
62
+ How to download:
63
+ ----------------
64
+ Please ensure you have enough local disk space before downloading (complete dataset is 2TB) and consider the examples below that provide ways to download just the files you need:
65
+
66
+ First Step: Install AWS Command Line Interface (CLI):
67
+ --------------
68
+
69
+ Follow instructions here: https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html
70
+
71
+ Second Step: Use the AWS CLI to download the dataset
72
+ --------------
73
+ Follow the following examples for how to download all or part of the dataset.
74
+
75
+ Note 1 : If you don't have an AWS account you will need to add --no-sign-request within your AWS command i.e aws s3 cp --no-sign-request --recursive etc...
76
+ Note 2 : If you have an AWS account, please note the bucket is in us-east-1, so you will have the fastest download if you have your AWS service or EC2 instance running in us-east-1.
77
+
78
+ Example 1: Download all files (~2TB)
79
+ --------------------------
80
+ aws s3 cp --recursive s3://caemldatasets/ahmed/dataset .
81
+
82
+ Example 2: only download select files (STL,images & force and moments):
83
+ --------------------------
84
+ Create the following bash script that could be adapted to loop through only select runs or to change to download different files e.g boundary/volume.
85
+ ''
86
+ #!/bin/bash
87
+
88
+ # Set the S3 bucket and prefix
89
+ S3_BUCKET="caemldatasets"
90
+ S3_PREFIX="ahmed/dataset"
91
+
92
+ # Set the local directory to download the files
93
+ LOCAL_DIR="./ahmed_data"
94
+
95
+ # Create the local directory if it doesn't exist
96
+ mkdir -p "$LOCAL_DIR"
97
+
98
+ # Loop through the run folders from 1 to 500
99
+ for i in $(seq 1 500); do
100
+ RUN_DIR="run_$i"
101
+ RUN_LOCAL_DIR="$LOCAL_DIR/$RUN_DIR"
102
+
103
+ # Create the run directory if it doesn't exist
104
+ mkdir -p "$RUN_LOCAL_DIR"
105
+
106
+ # Download the ahmed_i.stl file
107
+ aws s3 cp "s3://$S3_BUCKET/$S3_PREFIX/$RUN_DIR/ahmed_$i.stl" "$RUN_LOCAL_DIR/" --only-show-errors
108
+
109
+ # Download the force_mom_i.csv file
110
+ aws s3 cp "s3://$S3_BUCKET/$S3_PREFIX/$RUN_DIR/force_mom_$i.csv" "$RUN_LOCAL_DIR/" --only-show-errors
111
+
112
+ aws s3 cp --recursive "s3://$S3_BUCKET/$S3_PREFIX/$RUN_DIR/images" "$RUN_LOCAL_DIR/images/" --only-show-errors
113
+ done
114
+ ''
115
+
116
+ Acknowledgements
117
+ -----------
118
+ OpenFOAM solver and workflow development by Neil Ashton (Amazon Web Services)
119
+ Geometry parameterization by Samuel Gundry (Amazon Web Services) and Parisa Shabestari (Amazon Web Services)
120
+ Guidance on dataset preparation for ML by Danielle Madix (Amazon Web Services)
121
+ Simulation runs, HPC setup and dataset preparation by Neil Ashton (Amazon Web Services)
122
+
123
+ License
124
+ ----
125
+ This dataset is provided under the CC BY SA 4.0 license, please see LICENSE.txt for full license text.
ahmedml.slvs ADDED
The diff for this file is too large to render. See raw diff
 
download.sh ADDED
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1
+ #!/bin/bash
2
+
3
+ # Set the S3 bucket and prefix
4
+ S3_BUCKET="caemldatasets"
5
+ S3_PREFIX="ahmed/dataset"
6
+ #
7
+ # # Set the local directory to download the files
8
+ # LOCAL_DIR="./drivaer_data"
9
+ #
10
+ # # Create the local directory if it doesn't exist
11
+ # mkdir -p "$LOCAL_DIR"
12
+ #
13
+ # # Loop through the run folders from 1 to 500 (here you can change the number to only download a subset of the runs)
14
+ for i in $(seq 278 500); do
15
+ RUN_DIR="run_$i"
16
+ RUN_LOCAL_DIR="$RUN_DIR"
17
+ #
18
+ # # Create the run directory if it doesn't exist
19
+ # mkdir -p "$RUN_LOCAL_DIR"
20
+ #
21
+ # # Download the drivaer_i.stl file
22
+ aws s3 cp --recursive --no-sign-request "s3://$S3_BUCKET/$S3_PREFIX/$RUN_DIR" "$RUN_LOCAL_DIR/" --only-show-errors
23
+ #
24
+ # # Download the force_mom_i.csv file
25
+ # aws s3 cp "s3://$S3_BUCKET/$S3_PREFIX/$RUN_DIR/force_mom_$i.csv" "$RUN_LOCAL_DIR/" --only-show-errors
26
+ #
27
+ # aws s3 cp --recursive "s3://$S3_BUCKET/$S3_PREFIX/$RUN_DIR/images" "$RUN_LOCAL_DIR/images/" --only-show-errors
28
+ done
force_mom_all.csv ADDED
@@ -0,0 +1,501 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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run_379/images/CpT/run_379-slice-total(p)_coeffMean-Y-0.png ADDED

Git LFS Details

  • SHA256: a74e0065649cf683c0663484937e713c6f4a2bc7935619385588eb12a9630f64
  • Pointer size: 130 Bytes
  • Size of remote file: 16.2 kB
run_379/images/CpT/run_379-slice-total(p)_coeffMean-Y-1.png ADDED

Git LFS Details

  • SHA256: 3bf9d80100bdd6d25ea8efa6190b5db49d2db19c0866b5feb5c0bef0bdeece8e
  • Pointer size: 130 Bytes
  • Size of remote file: 19 kB
run_379/images/CpT/run_379-slice-total(p)_coeffMean-Y-2.png ADDED

Git LFS Details

  • SHA256: 1871d2e91055f53b3e2c472cdf3c3c11a566bb49e18099cbde5d770a175d683f
  • Pointer size: 130 Bytes
  • Size of remote file: 79.9 kB
run_379/images/CpT/run_379-slice-total(p)_coeffMean-Y-3.png ADDED

Git LFS Details

  • SHA256: f540539c520cdae5d8475ba04680c762f4a0709cb6180617b7754190eaecd97c
  • Pointer size: 130 Bytes
  • Size of remote file: 84.6 kB
run_379/images/CpT/run_379-slice-total(p)_coeffMean-Y-4.png ADDED

Git LFS Details

  • SHA256: eee3c32f505d57938b70d58cfebd96f361be835ee6816c59528ddb2d1a8c0f26
  • Pointer size: 130 Bytes
  • Size of remote file: 86.7 kB
run_379/images/CpT/run_379-slice-total(p)_coeffMean-Y-5.png ADDED

Git LFS Details

  • SHA256: 7b455eefce18baa1b4679635fbeb53d862419c6001a147bbd9481e34188648cd
  • Pointer size: 130 Bytes
  • Size of remote file: 84.8 kB
run_379/images/CpT/run_379-slice-total(p)_coeffMean-Y-6.png ADDED

Git LFS Details

  • SHA256: 5d38506b42c025b4deebcf678bcf15c9f696cf960452b0cca8a250eb15316373
  • Pointer size: 130 Bytes
  • Size of remote file: 79.8 kB
run_379/images/CpT/run_379-slice-total(p)_coeffMean-Y-7.png ADDED

Git LFS Details

  • SHA256: 30cff467600f40497d54a8e689dc4492aad0d2d4d008e40c8c1ed7a8e19815df
  • Pointer size: 130 Bytes
  • Size of remote file: 18.8 kB
run_379/images/CpT/run_379-slice-total(p)_coeffMean-Y-8.png ADDED

Git LFS Details

  • SHA256: 3c38bfb77d7a49dca8f808abf1fd63d451fea0712857e8bc8b6efcd6fa457f70
  • Pointer size: 130 Bytes
  • Size of remote file: 16.5 kB
run_379/images/CpT/run_379-slice-total(p)_coeffMean-Z-0.png ADDED

Git LFS Details

  • SHA256: d1688074d782b18967e78b39e61bf72588949d701c72165053156e36a1eaf4a1
  • Pointer size: 130 Bytes
  • Size of remote file: 93 kB
run_379/images/CpT/run_379-slice-total(p)_coeffMean-Z-1.png ADDED

Git LFS Details

  • SHA256: dae5d2345f09a7515722ad986ecac4cf759ebfb741781ed2ba6bc31738f9ddbb
  • Pointer size: 130 Bytes
  • Size of remote file: 85 kB
run_379/images/CpT/run_379-slice-total(p)_coeffMean-Z-2.png ADDED

Git LFS Details

  • SHA256: 6a671f24a86af21d85e692742bd1d82009c009bba732a1e62b3997b0462c048e
  • Pointer size: 130 Bytes
  • Size of remote file: 51.4 kB
run_379/images/CpT/run_379-slice-total(p)_coeffMean-Z-3.png ADDED

Git LFS Details

  • SHA256: 524a0a72e2177aecb1c04618f417fc85044658a3ac5052e876025efc667efcbf
  • Pointer size: 129 Bytes
  • Size of remote file: 7.65 kB
run_379/images/CpT/run_379-slice-total(p)_coeffMean-Z-4.png ADDED

Git LFS Details

  • SHA256: 524a0a72e2177aecb1c04618f417fc85044658a3ac5052e876025efc667efcbf
  • Pointer size: 129 Bytes
  • Size of remote file: 7.65 kB