README.md

metadata

license: mit
task_categories:
  - other
tags:
  - physics
  - fluid-dynamics
  - turbulence
  - simulation
  - vtk
pretty_name: 3D Driven Turbulence Simulation (128³)
size_categories:
  - 10G<n<100G
configs:
  - config_name: default
    data_files:
      - files_index.csv

NS Simulation Dataset — 3D Driven Turbulence (128³)

Overview

This dataset contains output from a 3D isothermal hydrodynamic driven turbulence simulation run with AthenaK. The simulation models subsonic turbulence driven on large scales in a periodic box.

Simulation Parameters

Parameter	Value
Code	AthenaK
Problem	3D driven turbulence
Grid resolution	128 × 128 × 128
Domain	[-0.5, 0.5]³ (unit box)
Boundary conditions	Periodic (all faces)
EOS	Isothermal
Isothermal sound speed	5.0
Time integrator	RK2
CFL number	0.3
Spatial reconstruction	PLM
Riemann solver	HLLE

Turbulence Driving

Parameter	Value
Driving type	Driven (continuously forced)
Energy injection rate (dedt)	1×10⁻⁴
Correlation time (tcorr)	5.0
Driving wavenumber range	nlow=1, nhigh=3 (peak at n=2)
Spectral form	Parabolic
Driving mode	Purely solenoidal (sol_fraction=1.0)

Files

• Format: Legacy VTK binary (DATASET STRUCTURED_POINTS)
• Naming: Turb.hydro_w.NNNNN.vtk where NNNNN is the output index
• Total files: 1001 snapshots (indices 18903–19903)
• Time range: t ≈ 189.03 to 199.03 (output cadence Δt = 0.01)
• Grid size per file: 128³ = 2,097,152 cells

Data Fields (per file)

Each VTK file contains the following cell-centred scalar fields:

Field name	Description
dens	Mass density ρ
velx	Velocity component v_x
vely	Velocity component v_y
velz	Velocity component v_z
s_00	Passive scalar (tracer)

Reading the Data

The files are standard VTK legacy binary format and can be read with ParaView, VisIt, or Python via vtk or pyvista:

import pyvista as pv

mesh = pv.read("Turb.hydro_w.18903.vtk")
density = mesh["dens"].reshape(128, 128, 128)
velx    = mesh["velx"].reshape(128, 128, 128)