SRS Logo

SRS

Scale-Resolving Simulation at Scale

Validation Study

Gresho Vortex Benchmark

Accurate Vortex Dynamics for Industrial Flow Design

Some systems don't explode or fail — they simply need to stay perfectly balanced over time. The Gresho Vortex is a classic test of that balance: a rotating flow that should keep its shape as it spins without any external forcing or dissipation.

With NumericalAI, engineers can instantly run this type of benchmark in the cloud — proving solver accuracy, stability, and reliability without any setup, installation, or hardware concerns. If a CFD solver can maintain a perfect vortex structure over hundreds of rotations, it demonstrates the numerical precision needed for real industrial applications.

Gresho Vortex Initial Density

Initial Vortex Structure (t = 0)

The initial condition shows a clean, symmetric density profile with a rotating core. The vortex is in exact equilibrium between centrifugal force and pressure gradient — any numerical error will cause degradation over time.


What is the Gresho Vortex?

The Gresho Vortex is a standard benchmark problem in computational fluid dynamics designed to test a solver's ability to maintain vortical structures without spurious numerical dissipation or dispersion. Originally proposed by Gresho and Chan (1990), it consists of:

  • Steady-state rotating flow with no external forcing

  • Exact balance between pressure gradient and centrifugal force

  • Sensitive to numerical errors — any artificial dissipation or pressure-velocity coupling issues will degrade the solution

  • Long-time integration test — the vortex should persist indefinitely without decay

Why This Test Matters

Many CFD solvers introduce artificial dissipation to maintain stability, but too much dissipation destroys important flow features like vortices, boundary layers, and shear layers. The Gresho Vortex benchmark proves that NumericalAI's solvers preserve these structures accurately — essential for industrial applications where flow features directly impact performance.


Simulation Configuration

Domain & Grid

Formulation:

2D Cartesian

Domain Size:

1 m × 1 m

Grid Resolution:

400 × 400

Total Cells:

160,000

Cell Size:

2.5 mm uniform

Initial Conditions

Vortex Radius:

R₀ = 0.2 m

Peak Velocity:

~0.5 m/s

Mach Number:

M ≈ 0.0015

Density:

ρ = 1.0 kg/m³

Ambient Pressure:

101.325 kPa

Temporal Settings

Simulation Time:

700 seconds

Rotations:

~100 full rotations

Time Step:

Adaptive CFL

CFL Number:

0.4

Output Frequency:

Every 10s

Solver Configuration

Spatial Scheme:

WENO5

Time Integration:

RK3-TVD

Riemann Solver:

HLLC

Equation of State:

Ideal Gas

Boundary:

Periodic

Computational Performance

~6 hrs

Wall-Clock Time

A100

NVIDIA GPU

~750 MB

Memory Usage

~7×

Speedup vs CPU


Validation Metrics & Accuracy

Quantitative Performance Indicators

To assess solver quality, we track several conservation and accuracy metrics:

Total Energy Conservation

Energy drift over 700s: < 0.02%

Indicates excellent time integration accuracy with minimal numerical dissipation.

Angular Momentum

Conservation error: < 0.01%

Confirms that rotational symmetry is respected by the numerical scheme.

L² Density Error

Relative error at t=700s: ~0.15%

Density profile remains nearly identical to initial condition — hallmark of low-dissipation schemes.

Peak Velocity Retention

Velocity decay: < 0.3%

The vortex maintains its strength without artificial damping effects.

Comparison with Literature

NumericalAI's results match or exceed published benchmarks from leading CFD research groups. The combination of WENO5 spatial reconstruction and RK3-TVD time integration delivers the accuracy expected from modern high-order methods — but now accessible through a simple cloud interface instead of months of code development.


Why Engineers Choose NumericalAI

  • Cloud-native simulation — run advanced CFD workflows without managing servers, installing software, or configuring HPC clusters

  • Proven accuracy — validated on industry-standard benchmarks like the Gresho Vortex, ensuring your results are trustworthy

  • Faster insights — launch, monitor, and visualize your results directly in your browser with GPU acceleration

  • Consistent results — reliable for long-duration, steady-state, and transient analysis across diverse applications

Industrial Relevance

Energy & Process Engineering

Predict circulation patterns, flow mixing, and residence time distributions in reactors, tanks, and separators. Accurate vortex modeling ensures optimal mixing and prevents dead zones.

Aerospace & Turbomachinery

Study tip vortices, secondary flows, and vortex breakdown in compressors, turbines, and propellers. Solver stability under rotation is critical for reliable performance predictions.

Manufacturing & Mixing

Simulate mixers, impellers, stirred tanks, and cooling channels. Vortex preservation ensures accurate prediction of blend time, homogeneity, and energy consumption.

R&D Validation

Demonstrate solver accuracy and numerical stability effortlessly. Use the Gresho Vortex as a quick sanity check before committing to expensive production runs.

Why It Matters

NumericalAI transforms advanced flow simulation into a fast, collaborative, and cloud-powered experience. No installation barriers, no hardware procurement delays — just instant access to validated, production-grade CFD.

A test like the Gresho Vortex demonstrates that if NumericalAI can maintain a perfect vortex structure over 100 rotations, it can handle your real-world designs — reliably, accurately, and efficiently, every time.

Ready to Validate Your Solver?

Run the Gresho Vortex benchmark yourself on NumericalAI's cloud platform. See the accuracy and stability in action.

Scale-Resolving Simulation (SRS)

© 2026 SRS, a NumericalAI product by Empirisch Tech GmbH (empirischtech.at). All rights reserved. |Privacy Policy |Terms of Service |Executive brief |FAQ

We use cookies to enhance your experience

We use cookies to provide essential functionality, analyze usage, and improve our services. Privacy Policy