FluidVerse/2D_SDBA_SSOO

2D Shock-Induced Droplet Breakup in Air with Symmetric BC

Description

The dataset captures the time-evolving behavior of 2D cylindrical droplets subjected to an external shock wave in air. The interaction with the shock wave results in two different breakup modes namely SIE and RTP depending on the weber number. Here we investigate a scenario with symmetric boundary conditions at the north and south walls.

About the data

Metadata	Description
Solver	ALPACA
PDE	2D compressible Euler equations
Dimension	2D
Number of Trajectories	300
Train-Test-Split	0.8 - 0.2
Number of Timesteps	101
Simulation End Time	91 $\mu s\backslash mu\; s$ - 1240 $\mu s\backslash mu\; s$ (depending on the IC)
Save Interval	0.91 $\mu s\backslash mu\; s$ - 12.40 $\mu s\backslash mu\; s$ (depending on the IC)
Fields	- density_mixed - density_water - density_air - pressure - velocityX - velocityY - volume_fraction_water
Simulation Resolution	1024x512 (Clipped and Downsampled)
Dataset Resolution	512x512 & 256x256
Grid Type	Cartesian Uniform Grid
Initial Condition	The droplets are in equilibrium with the surrounding pre-shock environment.
Boundary Conditions	North: Symmetry South: Symmetry East: Open West: Open
Conditioning Parameters	Shock Mach Number [1.2 - 3.2] Weber Number [20 - 60 & 20k - 60k] Droplet Count [1 - 5] Droplet Radius [2mm - 3.5mm] Droplet Center Position [Random in Domain]

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

OOD Data

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

• OOD Interpolation
  The shock mach number is randomly sampled within the in-distribution data mach number range (1.2 - 3.2). 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 (1.2 - 3.2). The trajectories are evenly split into the two shock mach number values 1.05 and 3.35. 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

• Distinguish breakup mode - RTP or SIE
• Accurate interface capturing
• Understanding wave dynamics
• Tracking droplet fragments
• Capture droplet interactions in the case of multi-droplets

How to Download the Dataset

Download the whole dataset:

hf download FluidVerse/2D_SDBA_SSOO --repo-type dataset

Download only part of the dataset with resolution 256x256:

from huggingface_hub import snapshot_download

snapshot_download(
    repo_id="FluidVerse/2D_SDBA_SSOO",
    repo_type="dataset",
    allow_patterns="256x256/*",
    local_dir="."
)