DNS of a Counter-Flow Channel: Compressible Turbulence Statistics

Direct numerical simulation data from OpenSBLI provides mean flow and turbulence statistics for compressible turbulent counter-flow channels. Each case folder includes Mach number, Reynolds number, domain size, and grid resolution parameters. The dataset, authored by Arash Hamzehloo of Imperial College London, is intended for citation alongside the paper in Physical Review Fluids.

Use Cases

• Validate turbulence models for compressible flows based on the provided mean stresses and Favre averages.
• Study the effects of Mach and Reynolds numbers on turbulent flow structures using the case-specific parameters.
• Benchmark computational fluid dynamics solvers against high-fidelity direct numerical simulation results.
• Analyze the relationship between Reynolds-averaged and Favre-averaged statistics in compressible counter-flow configurations.

Strengths

• Data is generated via direct numerical simulation, a high-fidelity computational method.
• Each simulation case is documented with key parameters like Mach number and Reynolds number.
• The dataset is explicitly linked to a peer-reviewed publication in Physical Review Fluids.

Limitations

• Column-level documentation is absent; field semantics must be inferred from the paper.
• Row count and total dataset size are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Imperial College London

Collection Method

Direct numerical simulations conducted using the OpenSBLI framework.