FluidVerse/3D_SABW_SSOOSS

3D Shock-Induced Air Bubble Collapse in Water with Symmetric BC

Description

The dataset captures the time-evolving behavior of 3D spherical air bubbles subjected to an external shock wave in water. The interaction with the shock wave results in a collapse of the air bubble. Here we investigate a scenario with symmetric boundary conditions at the north, south, top and bottom walls.

Shock Induced Air Bubble Collapse in Water (Mach 1.70)

About the data

Metadata	Description
Solver	ALPACA
PDE	3D compressible Euler equations
Dimension	3D
Number of Trajectories	180
Train-Test-Split	0.8 - 0.2
Number of Timesteps	51
Simulation End Time	15 $\mu s\backslash mu\; s$
Save Interval	0.3 $\mu s\backslash mu\; s$
Fields	- density_mixed - density_water - density_air - pressure - velocityX - velocityY - velocityZ - volume_fraction_water
Simulation Resolution	512x256x256 (Clipped and Downsampled)
Dataset Resolution	256x256x256 & 128x128x128
Grid Type	Cartesian Uniform Grid
Initial Condition	The bubbles are in equilibrium with the surrounding pre-shock environment.
Boundary Conditions	North: Symmetry South: Symmetry Top: Symmetry Bottom: Symmetry East: Open West: Open
Conditioning Parameters	Shock Mach Number [1.3 - 2.1] Bubble Count [1 - 5] Bubble Radius [2mm - 3.5mm] Bubble Center Position [Random in Domain]

Further metadata information and channel-wise statistics can be found in the corresponding metadata.json file.

Dataset Structure

The train.h5 and test.h5 in this repository are meta hdf5 files that link to multiple subparts inside the corresponding subset folder. The mentioned train-test-split [0.8 - 0.2] is only valid when all subparts inside the subset folder are present.

OOD Data

In addition to the in-distribution train/test data, we provide two out-of-distribution test datasets:

• OOD Interpolation
  The shock mach number is randomly sampled within the in-distribution data mach number range (1.3 - 2.1). In addition, there are either 1, 2, 3, 4 or 5 bubbles placed inside the domain.
• OOD Extrapolation
  The shock mach number is chosen outside of the in-distribution data mach number range (1.3 - 2.1). The trajectories are evenly split into the two shock mach number values 1.1 and 2.3. In addition, there are either 1, 2, 3, 4 or 5 bubbles placed inside the domain.

Apart from the mentioned parameters, the trajectory setup is kept the same as the metadata described in section About the data.

Key Challenges for Surrogate Modelling

• Accurate interface capturing
• Peak pressure in the domain
• Understanding wave dynamics
• Tracking bubble fragments

How to Download the Dataset

Download the whole dataset:

hf download FluidVerse/3D_SABW_SSOOSS --repo-type dataset

Download only part of the dataset with resolution 128x128x128:

from huggingface_hub import snapshot_download

snapshot_download(
    repo_id="FluidVerse/3D_SABW_SSOOSS",
    repo_type="dataset",
    allow_patterns="128x128x128/*",
    local_dir="."
)