3D Taylor-Green Vortex DNS Statistics from Re=1250 to Re=20000

Statistical data for the 3D Taylor-Green vortex flow obtained via Direct Numerical Simulation using the Incompact3d solver. The dataset covers Reynolds numbers from 1250 to 20000 and includes time-series of kinetic energy, dissipation, enstrophy, and mean square velocity gradients. It was produced by Sylvain Laizet of Imperial College London and originates from a 2017 Journal of Computational Physics paper.

Use Cases

• Validate turbulence models and subgrid-scale closures based on high-resolution DNS statistics.
• Analyze the temporal evolution of kinetic energy and dissipation rates based on the provided time-series columns.
• Study the scaling of enstrophy and velocity gradients with Reynolds number based on the data spanning Re=1250 to 20000.
• Benchmark the performance of numerical solvers against the reference Incompact3d results.

Strengths

• Data is derived from a peer-reviewed source published in the Journal of Computational Physics in 2017.
• Covers a defined Reynolds number range from 1250 to 20000.
• Column definitions for 17 statistical quantities are explicitly documented in the description.

Limitations

• Row count, file formats, and sample data are unknown, limiting suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Sylvain Laizet, Imperial College London

Collection Method

Direct Numerical Simulation using the Incompact3d flow solver.